(Revised January 31, 2013)

DAVID “JACK” MOSTOW

Director, Project LISTEN (www.cs.cmu.edu/~listen ), 4103 Newell-Simon Hall, 5000 Forbes Avenue, Carnegie Mellon University, Pittsburgh, PA 15213

Homepage:  www.cs.cmu.edu/~listen  Email:  mostow@cs.cmu.edu      Telephone:  412-268-1330

Positions Held

1992 –   Carnegie Mellon University School of Computer Science:  Research Professor (since 1999), Robotics Institute, Language Technologies Institute, Human-Computer Interaction Institute, and Machine Learning Department

1985-92 Rutgers University Computer Science Department:  Assistant Professor and Associate Member of the Graduate Faculty; Full Member of the Graduate Faculty from 4/90

1989       IBM Tokyo Research Laboratory: Visiting Scientist (summer)

1981-85 University of Southern California Information Sciences Institute: Research Computer Scientist

1980-81 Stanford University Heuristic Programming Project: Research Associate

1977-81 Rand Corporation Information Sciences Department: Consultant

Education

1974-81 Ph.D., Computer Science, Carnegie-Mellon University (NSF Graduate Fellow)
Dissertation:  Mechanical Transformation of Task Heuristics into Operational Procedures
Graduate advisors: Allan Newell (deceased), Frederick Hayes-Roth (Teknowledge), Jaime Carbonell (CMU), Robert Balzer (USC-ISI)

1970-74 A.B. cum laude, Applied Mathematics, Harvard University (National Merit Scholar)

[Note:  Items new or continuing since January 2012 are highlighted.]

Awards and Honors

2011 –   President of the International Artificial Intelligence in Education Society

2012       Best Paper Award, 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25):   Mining Data from Project LISTEN’s Reading Tutor to Analyze Development of Children’s Oral Reading Prosody.  S. Sitaram and J. Mostow.

2012       Best Student Paper Award, Fifth International Conference on Educational Data Mining:  Comparison of methods to trace multiple subskills:  Is LR-DBN best?  Y. Xu and J. Mostow.

2011       Best Paper Nominee, 15th International Conference on Artificial Intelligence in Education:  Toward Exploiting EEG Input in a Reading Tutor.  J. Mostow, K.-m. Chang, and J. Nelson.

2011       Best Poster Nominee, 4th International Conference on Educational Data Mining:  Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!  Y. Xu and J. Mostow.

2010       President-Elect of the International Artificial Intelligence in Education Society

2008       Best Paper Award, 9th International Conference on Intelligent Tutoring Systems:      Does help help?  Introducing the Bayesian Evaluation and Assessment methodology.  J.E. Beck, K.-m. Chang, J. Mostow, A. Corbett.

2008       Best Paper Nominee, 9th International Conference on Intelligent Tutoring Systems:  How who should practice:  Using learning decomposition to evaluate the efficacy of different types of practice for different types of students. J.E. Beck and J. Mostow.

2007       Elected to Executive Committee of the International Artificial Intelligence in Education Society

2005       Poster on Project LISTEN selected by National Science Foundation to show Committee of Visitors reviewing Information Technology Research program

2004       Listed by Pittsburgh Post-Gazette as “having a significant impact on education”

2003       Allen Newell Award for Research Excellence (http://www.cs.cmu.edu/people/achievements/newell/newellmedal_winners.html)

2002       Elected to Voting Membership in the Society for Scientific Studies of Learning

2000       Project LISTEN included in National Science Foundation’s Nifty Fifty (http://www.nsf.gov/od/lpa/nsf50/nsfoutreach/htm/home.htm)

1998       “Project LISTEN: A Reading Tutor That Listens” selected to represent Computing Research Association (CRA) at May 20 Coalition for National Science Funding Exhibit (CNSF) for Congress

1994       Outstanding Paper Award, Twelfth National Conference on Artificial Intelligence, for "A Prototype Reading Coach that Listens"

PROFESSIONAL ACTIVITIES

Advisory Boards

2007 –   Advisory Board, TechBridgeWorld (www.techbridgeworld.org)

2007    Executive Committee, International Artificial Intelligence in Education Society (IAIED)

2009-10 Steering Committee, 2010 Question Generation Shared Tasks

2008       Advisory Board, Project STEAM, SRI

2005-07 Consultant and Scientific Advisory Board Chair, Soliloquy Learning

2004       Chair, review panel for Inter-agency Educational Research Initiative grant proposals, National Science Foundation

2004       Member, review panel for center proposals, Institute of Educational Sciences, U. S. Department of Education

2002       Committee of Visitors, National Science Foundation Research on Learning and Education (ROLE)

2001    Advisory Board, Mid-Atlantic Regional Technology in Education Consortium (MARTEC)

2001-02 Advisory Board, NSF Grant “The Role of Emotion in Propelling the SMET Process” (Rosalind Picard, PI), MIT

1990-95 Member, International Federation for Information Processing (IFIP) Working Group 12.2 (Machine Learning)

Editorships

2013    Editorial Board, Artificial Intelligence in Education

2009    Editorial Board, Journal of Educational Data Mining

1994-95 Editorial Board, Artificial Intelligence Journal Special Issue on Empirical Artificial Intelligence

1984-93 Action Editor / Editorial Board member, Machine Learning

1985-87 Editorial Board, IEEE Transactions on Software Engineering

1985       Guest Editor, IEEE Transactions on Software Engineering Special Issue on Artificial Intelligence and Software Engineering

Conference Leadership

2012    Conference Chair, 16th International Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN

2009-10 Conference Chair, 10th International Conference on Intelligent Tutoring Systems (ITS 2010), Pittsburgh, PA

2009       Interactive Events Chair, Thirteenth International Conference on Artificial Intelligence in Education (AIED 2009), Brighton, England

2004       Workshops and Tutorials Chair, 7th International Conference on Intelligent Tutoring Systems, Maceió, Alagoas, Brazil

1999       Harvard-Radcliffe 25th Reunion Panel on "Science and Medicine Near the Millennium", Cambridge, MA

1996-98   Program Co-chair, 1998 National Conference on Artificial Intelligence (AAAI98)

Conference Organizing Committees

2012       Fifth Workshop on Question Generation (QG 2012) (cancelled due to too few good submissions)

2011       AAAI Symposium:  Fourth Workshop on Question Generation (QG 2011), Arlington, VA

2010       Steering Committee of the Third Workshop on Question Generation (QG 2010), Pittsburgh, PA

2008       Fall 2008 Workshop on Learning Technology, Pittsburgh, PA

2003       Doctoral Consortium and Local Organizing Committees, User Modeling Conference, Pittsburgh, PA

2002       ITS2002 Workshop on Empirical Methods for Tutorial Dialogue Systems

1992       AAAI92 Workshop on Design Rationale Capture and Use, San Jose, California

1991       Eighth International Machine Learning Workshop (IMLW91), Northwestern University, Evanston, Illinois

1990       AAAI90 Workshop on Automated Generation of Approximations and Abstractions, Boston

1989       Sixth International Workshop on Machine Learning (IMLW89), Cornell University

1986       Oregon State University Workshop on Knowledge Compilation, Otter Crest, Oregon

1984       Rutgers Workshop on Knowledge-Based Design Aids: Models of the Design Process, New Brunswick, New Jersey

Conference Program Committees

2012 –   5th International Conference on Computer Supported Education (CSEDU 2013), Aachen, Germany

2012       Fifth International Conference on Educational Data Mining (EDM2012), Chania, Crete

2012       Senior Program Committee, 11th International Conference on Intelligent Tutoring Systems (ITS2012), Chania, Crete

2012       International Symposium on Automatic Detection of Errors in Pronunciation Training, Stockholm, Sweden

2012       13th Annual Conference of the International Speech Communication Association (InterSpeech), Portland, Oregon

2012       7th Workshop on "Innovative Use of NLP for Building Educational Applications" (NAACL 2012 workshop), Montreal

2011       Fourth International Conference on Educational Data Mining (EDM2011), Eindhoven, Netherlands

2011       Senior Program Committee, 15th International Artificial Intelligence in Education Conference (AIED2011), Auckland, New Zealand

2011       First Workshop (proposed) on Artificial Intelligence in Education to Support the Social Inclusion of Communities (AIEDSIC), Auckland, New Zealand

2011       Workshop (proposed) on Usability and Educational Technology, impact on study results (U-ed), Auckland, New Zealand

2011       49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT 2011), Portland, OR

2011       6th Workshop on "Innovative Use of NLP for Building Educational Applications" at ACL-HLT 2011, Portland, OR

2010       ACM International Conference on Intelligent User Interfaces (IUI11), Palo Alto, California

2010       Third International Conference on Educational Data Mining (EDM2010), Pittsburgh, PA

2009       Second International Conference on Educational Data Mining (EDM2008), Córdoba, Spain

2009       AIED 2009 Workshop on Question Generation, Brighton, England

2008       NSF Workshop on the Question Generation Task and Evaluation Challenge, Arlington, VA

2008       First International Conference on Educational Data Mining (EDM2008), Montreal

2008       Senior Program Committee, 9th International Conference on Intelligent Tutoring Systems (ITS2008), Montreal

2007       Senior Program Committee, Twelfth International Conference on Artificial Intelligence in Education (AIED2007), Los Angeles

2006       Eighth International Conference on Intelligent Tutoring Systems (ITS 2006), Jhongli, Taiwan

2006       ITS2006 Workshop on Educational Data Mining, Jhongli, Taiwan

2006       AAAI2006 AI Nectar Program Committee, Boston, MA

2005       Eleventh International Conference on Artificial Intelligence in Education (AIED2005), Amsterdam, Netherlands

2005       AIED2005 Workshop on Student Modeling for Language Tutors, Amsterdam

2005       AIED2005 Workshop on Usage Analysis, Amsterdam

2005       AIED2005 Workshop on Educational Games as Intelligent Learning Environments, Amsterdam

2005       AAAI2005 Workshop on Educational Data Mining

2005       Second Workshop on Building Educational Applications Using Natural Language Processing, ACL 2005, Ann Arbor, MI

2004       Seventh Intelligent Tutoring Systems Conference (ITS2004), Maceió, Alagoas, Brazil

2004       ITS2004 Workshop on Social and Emotional Intelligence in Learning Environments, Maceio, Brazil

2003       Tenth International Conference on Artificial Intelligence in Education (AIED2003), Sydney, Australia

2003       User Modeling 2003 Workshop on Modeling User Affect and Attitudes, Johnstown, PA

1991       Twelfth International Joint Conference on Artificial Intelligence (IJCAI91), Sydney, Australia

1991       Ninth National Conference on Artifical Intelligence (AAAI91), Anaheim, California

1988       Seventh National Conference on Artifical Intelligence (AAAI88), Radisson-St. Paul, Minnesota

1988       Fifth International Conference on Machine Learning (IMLC88), Ann Arbor, Michigan

Other Reviewing for Journals, Conferences, Books, Funding Agencies, and Universities

ACM Computing Surveys

ACM Transactions on Intelligent Systems and Technology

AI Magazine

Artificial Intelligence

Automated Speech Recognition and Understanding Workshop

California Microelectronics Innovation and Computer Research Opportunities (MICRO) program

CMU LTI Student Research Symposium

Dialogue and Discourse

Handbook of Educational Data Mining

HCI Journal

IEEE Computer

IEEE Computer Dictionary (reviewer of definitions in artificial intelligence)

IEEE Expert

IEEE Intelligent Systems

IEEE Transactions on Computers

IEEE Transactions on Learning Technologies

Institute of Education Sciences, United States Department of Education

International Artificial Intelligence in Education Conferences (AIED)

International Joint Conferences on Artificial Intelligence (IJCAI)

International Journal of Artificial Intelligence in Education

Israel Academy of Sciences and Humanities Basic Research Foundation

Israel Science Foundation

Journal of Educational Data Mining

Journal of Natural Language Engineering

Language Learning & Technology

Machine Learning

National Conferences on Artificial Intelligence (AAAI)

National Science Foundation

Netherlands Organisation for Scientific Research

Research in Engineering Design

Social Sciences and Humanities Research Council of Canada

Speech Communication

Université Joseph Fourier in Grenoble (referee for a post-PhD “habilitation” diploma required for full professorship)

University of Sydney (refereed for a Thompson fellowship application)

STUDENTS

Graduate Degrees Supervised

2012       Wei Chen, PhD in Language Technologies:  Detecting Off-task Speech

2012       Bao Hong “Lucas” Tan, Master’s in Computer Science:  Using a Low-cost EEG Sensor to Detect Mental States

2012       Yanbo Xu, Master’s in Language Technologies:  knowledge tracing of steps with multiple subskills

2012       Sunayana Sitaram, Master’s in Language Technologies:  mining and visualizing oral reading prosody

2012       Mdahaduzzaman Munna, Master’s in Language Technologies:  analysis of fluency practice scheduling

2011       Yuanpeng Li, Master’s in Language Technologies:  analysis and visualization of oral reading prosody

2011       Weisi Duan, Master’s in Language Technologies:  educational word sense disambiguation

2010       Minh Duong, Master’s in Language Technologies:  automated assessment of children’s oral reading prosody

2010       Liu Liu, Master’s in Language Technologies:  automated generation of example contexts for vocabulary words [co-advised with Gregory Aist]

2009       Wei Chen, Master’s in Language Technologies:  automated generation of reading comprehension strategy instruction [co-advised with Gregory Aist]

2008       Xiaonan Zhang, Master’s in Language Technologies:  mining educational data from a Reading Tutor that listens [co-advised with Joseph Beck]

2006       Kai-min Chang, Master’s student in Language Technologies:  educational data mining [co-advised with Joseph Beck]

2005       Cecily Heiner, Master’s Project in Computer-Assisted Language Learning:  Automated Vocabulary Instruction in a Reading Tutor [co-advised with Joseph Beck]

2004       June Sison, Master’s in Language Technologies:  educational data mining [co-advised with Joseph Beck]

2002       Peng Jia, Masters’ Project in Knowledge Discovery in Databases:  Mining computer tutor-student interaction data to assess students’ reading and predict future behavior

2001       Gregory Aist, Language Technologies PhD: Helping Children Learn Vocabulary during Computer-Assisted Oral Reading.  Distinguished Finalist for the Outstanding Dissertation of the Year Award. 47th Annual Convention of the International Reading Association, 2002. San Francisco, CA.  Joined Research Institute for Advanced Computer Science at NASA Ames Research Center.

1997       Gregory Aist, Computational Linguistics Master’s Project: A General Architecture for a Real-Time Discourse Agent and a Case Study in Oral Reading Tutoring

1996       Jeffrey Hill, Computational Linguistics Master’s Project: Tolerating and Detecting Mispronunciations with a Speech Recognizer. Rejoined U.S. Foreign Service to run NATO HQ computing in Brussels (as of 6/97).

1993       Lorien Pratt, Computer Science PhD (Rutgers University): Transferring Previously Learned Back-Propagation Neural Networks to New Learning Tasks. Joined faculty at Colorado School of Mines, then joined Evolving Systems, Inc.

1992       Neeraj Bhatnagar, Computer Science PhD (Rutgers University): On-line Learning from Search Failures. Joined Mantra Technologies, Inc.

1990       Armand Prieditis, Computer Science PhD (Rutgers University): Discovering Effective Admissible Heuristics by Abstraction and Speedup: A Transformational Approach. Joined faculty at Department of Computer Science, University of California at Davis (as of 11/97).

Thesis Committees

2007-12 Nora Presson, Psychology PhD:  Applying processing models of verb morphology to an instructional intervention in classroom Spanish

2008-10 Min Chi, Intelligent Systems PhD, University of Pittsburgh:  Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning To Induce Pedagogical Tutorial Tactics

2008       Ari Bader-Natal, Computer Science PhD, Brandeis University:  The Teacher's Dilemma:  A game-based approach for motivating appropriate challenge among peers

2007-09 Yvonne Kao, Psychology PhD:   Contributions Of Spatial Skills To Geometry Achievement:  Training And Transfer

2005       Patrick Riley, Computer Science PhD:  Coaching: Learning and Using Environment and Agent Models for Advice

1998       Lorin Grubb, Computer Science PhD: Tracking Vocal Performances in an Ensemble Using Multiple Performance Parameters

1997       Yuriko Murata, Computational Linguistics Master’s Project on mapping hirakana to kanji.

1990       William Cohen, Computer Science PhD (Rutgers University): Concept Learning Using Explanation Based Generalization as an Abstraction Mechanism. Joined Technical Staff, ATT Bell Laboratories at Murray Hill.

1990       Sridhar Mahadevan, Computer Science PhD (Rutgers University): Learning Decomposition Methods to Improve Hierarchical Problem-solving Performance. Joined IBM Watson Research Center, then academia.

1990       Prasad Tadepalli, Computer Science PhD (Rutgers University): Learning Approximate Plans in Games. Joined faculty at Oregon State University.

1989       Thomas Ellman, Computer Science PhD (Columbia University): Explanation-Based Methods for Simplifying Intractable Theories. Joined faculty at Rutgers University.

1989       Keith Williamson, Computer Science M.Phil (Rutgers University): Database Schema Refinement

1988       Smadar Kedar-Cabelli, Computer Science PhD (Rutgers University): Formulating Concepts and Analogies According to Purpose. Joined NASA Ames as Research Scientist.

1986       Richard M. Keller, Computer Science PhD (Rutgers University): The Role of Explicit Contextual Knowledge in Learning Concepts to Improve Performance. Joined NASA Ames as Research Scientist.

Supervised Research (Carnegie Mellon graduate students except where noted)

2010 –   José P. González-Brenes, PhD student in Language Technologies:  detecting changes in tutorial interaction patterns

2010 –   Yanbo Xu, graduate student in Language Technologies:  using Dynamic Bayes nets to model children’s oral reading fluency growth

2012       Sébastien Lallé, visiting PhD student from Université Joseph Fourier, Grenoble, France

2011-12 Lucas Tan, Master’s student in Computer Science:  finding temporal structure in single-channel EEG signals

2010-12 Vivien Chen, Master’s student in Language Technologies:  using EEG to improve speech recognition (co-advised with Kai-min Chang)

2010-12 Hyeju Jang, Master’s student in Language Technologies:  automated discovery of semantic relations

2010-12 Sunayana Sitaram, Master’s student in Language Technologies:  automated assessment and visualization of children’s oral reading prosody

2010-12 Mdahaduzzaman Munna, Master’s student in Language Technologies:  adapting Pavlik’s equations to model children’s oral reading fluency growth

2009-12 Wei Chen, PhD student in Language Technologies:  generating self-questioning instruction, understanding children’s spoken questions, detecting off-task speech

2011-12 Yuanpeng Li, Visiting Scholar:  evaluating and improving tracking of children’s oral reading

2010-11 Lucas Tan, senior project in Computer Science:  using an integrated relational data and random walk technique to classify events in intelligent tutors

2011       Udip Pant, junior in Computer Science at Brigham Young University:  Pittsburgh Science of Learning Center summer internship on inferring comprehension from EEG

2011       Shanay Russell, junior in Psychology at Rutgers University:  Pittsburgh Science of Learning Center summer internship on effects of story difficulty on children’s fluency gains

2011       Mentor for Pittsburgh Science of Learning Center Summer School, Educational Data Mining track

2011       Denise Edwards, sophomore in Information Systems:  mapping Reading Tutor data into PSLC’s DataShop

2010       Corinne Durette, Pittsburgh Science of Learning Center summer intern from Temple University:  taxonomy of children’s free-form spoken responses to vocabulary questions

2010       Matt Wagner, Xueqiong Qu, Chu Liu, and Siyu Shan, project in graduate course on speech recognition:  oral reading language model improvements

2009-10 Morten Rasmussen, visiting PhD student from Aalborg University, Denmark:  tracking children’s oral reading

2009-10 Maxim Makatchev, PhD student in RI:  committee for research skills and writing qualifier

2009       Michael Heilman, PhD student in LTI and PIER:  supervise PIER Field-Based Experience

2008       Qin Gong, Master’s student in Language Technologies:  automated assessment of free-form spoken responses [co-advised with Greg Aist]

2008 –   Minh Duong, Master’s student in Language Technologies:  assessment of oral reading expressiveness

2008 –   Liu Liu, Master’s student in Language Technologies:  generating vocabulary instruction [co-advised with Greg Aist]

2008–9  Haijun Gong and Tracy Sweet, Statistics grad students:  Project LISTEN: Impact of an Automated Reading Tutor in Ghana [Prof. Steve Fienberg “stat practice” course project]

2007 –   Nora Presson, PhD student in Psychology and PIER:  committee for research on L2 grammar learning

2007–9  G. Ayorkor Mills-Tettey, Robotics PhD student:  phase 2 controlled study of the Reading Tutor in Ghana

2007       Nathaniel Anozie, Elise Olson, and April Galyardt, Statistics grad students:  Project LISTEN: Evaluation of an Automated Reading Tutor in Pittsburgh Public Schools [Prof. Brian Junker “stat practice” course project]

2006–7  Ling Xu and Vinithra Varadharajan, V-unit project on an automated American Sign Language vocabulary tutor for deaf children [co-advised with Rahul Tongia]

2006       G. Ayorkor Mills-Tettey, V-unit project on applying robotic control concepts to an automated tutor

2005       Nidhi Kalra, Robotics PhD student’s V-unit project on a Braille writing tutor for the blind [advisory committee]

2005       G. Ayorkor Mills-Tettey, Robotics PhD student’s V-unit project field study:  Impact of an Automated Reading Tutor in Ghana

2004       Hao Cen, PhD student in Human-Computer Interaction:  summer project to develop tool to browser student-tutor interactions [co-advised with Joe Beck]

2004       Bob Poulsen, Master’s thesis in Computer Science at DePaul University:  Tutoring Bilingual Students With an Automated Reading Tutor That Listens:  Results of a Two-Month Pilot Study [informal co-advisor]

2004       Peter Kant, Master’s thesis in Education at University of Pittsburgh:  The Influence of Teachers' Perceptions on Usage of an Educational Technology:  A Study of Project LISTEN's Reading Tutor.

2004       Shanna Tellerman, Master’s student in Entertainment Technologies:  independent study on visual redesign of the Reading Tutor

2003–5  Cecily Heiner, Master’s student in Computer-Assisted Language Learning:  mine Reading Tutor data [co-advised with Joe Beck]

2002-03   Satanjeev Banerjee, Master’s student in Language Technologies

2002-03   Wilson Tam, Master’s student in Language Technologies

2002       Tameka Barrentine, Kate O’Leary, and Angela Wagner, Human-Computer Interaction graduate course project on student motivation

2002       Peng Jia, Master’s in Automated Learning and Discovery:  Mining computer tutor-student interaction data to assess students’ reading and predict future behavior.

2002       Natasha Mohanty (Computer Science undergraduate at Mount Holyoke College), summer internship on children’s spelling

2001       Micah Alpern, Katie Minardo, Maureen O’Toole, Amy Quinn, and Sean Ritzie, Group Project for Masters' Lab  in Human-Computer Interaction:  Project LISTEN:  Design Recommendations and Teacher Tool Prototype.

2000       James Fogarty, Laura Dabbish, and David Steck, machine learning course project on mining a database of oral reading miscues.

1997–98 Tzee-Ming Huang, Statistics PhD course project and summer research on predictive models of oral reading performance. Co-supervised with Rob Kass and Larry Wasserman.

1998       Peggy Chan and Calvin Yeung, Statistics Master’s class project to estimate error rates in automated transcription of speech. Co-supervised with Rob Kass and Larry Wasserman.

1997       Dan Barritt, Human-Computer Interaction Master’s independent study to observe Reading Tutor use at Fort Pitt Elementary School.

1997       Kerry Perlmutter, Design Master’s Project on graphical design of Reading Tutor interventions.

1983       Steve Minton, Computer Science PhD student: summer research at Information Sciences Institute on replay of derivations

1983       Monica Lam, Computer Science PhD student: summer research at Information Sciences Institute on transformational derivation of systolic designs

Supervised Research (Computer Science PhD students elsewhere)

S88–S90                Greg Fisher: research assistantship and independent study (CS602) on knowledge compilation

S88–F88                Kevin Kelly: research assistantship and independent study (CS602) on knowledge compilation

Sum 87  William Cohen: research assistantship on the generalization-to-N problem in LEAP

S88         Barbara DiEugenio: independent study (CS601) on explanation in interactive design systems

F87         Dawn Cohen: research assistantship on heuristic theory formation

Sum 87  Mukesh Dalal: independent study (CS601) on learning from execution traces

S87–F87                Subrata Roy: independent study (CS602) and research assistantship on extending LEAP, VEXED’s learning apprentice for VLSI design

S86–F86                Mike Barley: independent study (CS601) and research assistantship on automated reuse of design plans

F86, S88 Tom Fawcett: independent study (CS601) on learning with partially-developed causal theories

F85-F86  Kerstin Voigt: dissertation research (CS701) on integration of goals in design

F85         Patricia Friedmann: independent study (CS601) on AI and education

F85         Deborah McGuinness: independent study (CS601) on Automatic Programming

F83         Randy Kerber (graduate student at University of Southern California): research at ISI on transformational derivation of a simple two-robot algorithm

TEACHING

Courses Taught at Carnegie Mellon

1992 –   Guest lectures in graduate courses on Speech, Human-Computer Interaction, Writing, and various programs for high school students

F76         "Computer Science 15-104: Introduction to Computing" (section instructor)

Courses Taught at Other Universities

F85–S92 "CS111: Introduction to Computer Science" (Faculty Supervisor from F89)

F88         "CS671: Knowledge Compilation" (graduate seminar jointly created and taught with Prof. Christopher Tong, Rutgers University Computer Science Department.)

F87         "CS531: Artificial Intelligence Software Techniques and Languages"

7/87        "Artificial Intelligence and Design" (four-hour tutorial, including 90-page syllabus, jointly created and presented with Prof. Tom Mitchell at the Sixth National Conference on Artificial Intelligence, Seattle, Washington)

F86         "CS671: Artificial Intelligence Approaches to Design" (graduate seminar jointly created and taught with Profs. Louis Steinberg and Christopher Tong, Rutgers University Computer Science Department.)

S86–S92 "CS536: Machine Learning"

7/85        "Artificial Intelligence Programming" (three-week intensive graduate-level course jointly created and taught with Prof. Louis Steinberg at the Institute of Artificial Intelligence, Claremont, California)

SERVICE

Service And Committee Work At Carnegie Mellon

2004                    Steering Committee, Program for Interdisciplinary Educational Research (PIER)

2005–6                  Program Committee, 50th Anniversary of School of Computer Science

200406                Admissions Committee, Robotics PhD program

2004–06                Coordinator, Artificial Intelligence Seminar Series

1998                       School of Computer Science Self-Assessment Committee

1993–97                University Research Council

1993–95                Faculty Senate

Service and Committee Work elsewhere

2010–11                Board member, Pittsburgh Savoyards

1990–92                Fellow of Douglass College, Rutgers University

1989–92                Faculty Supervisor for "CS111: Introduction to Computer Science", Rutgers University

1987–89                Computer Science Department Colloquium Coordinator, Rutgers University

1987–91                Computer Science Department Elections Committee, Rutgers University

1986–91                Computer Science Department Graduate Admissions Committee, Rutgers University

Musical Theater roles (Pittsburgh Savoyards productions of Gilbert & Sullivan operettas except where noted)

2013       Sir Joseph Porter, K.C.B., in H.M.S. Pinafore

2011       Sir Roderic Murgatroyd in Ruddigore

2011       Duke of Plaza-Toro in Gondoliers

2010       Marco in Puccini’s Giannia Schicchi; Associate Judge in Trial by Jury

2010       Mikado in Mikado

2009       Isidore Straus in Stage 62’s production of Titanic: the Musical

2009       Peer in Iolanthe

2007       Major-General Stanley in Pirates of Penzance

2006       Mikado in Mikado

2005       Duke of Plaza-Toro in Gondoliers

2004       Duke in Patience

2003       Sir Joseph Porter, K.C.B., in H.M.S. Pinafore

2002       Chorus in Princess Ida

2001       Francesco in Gondoliers

2000       Boatswain’s Mate in H.M.S. Pinafore

1999       Sir Richard Cholmondely in Yeomen of the Guard

1998       Duke in Patience

1978       Pish-Tush in Mikado

PUBLICATIONS

Books

1.            Aleven, V., Kay, J. and Mostow, J. (Editors) 2010. Proceedings of the Tenth International Conference on Intelligent Tutoring Systems (ITS2010), Part I. Lecture Notes in Computer Science, 6094. Springer, Pittsburgh, PA, xxx+437 pp.

2.            Aleven, V., Kay, J. and Mostow, J. (Editors) 2010. Proceedings of the Tenth International Conference on Intelligent Tutoring Systems (ITS2010), Part II. Lecture Notes in Computer Science, 6095. Springer, Pittsburgh, PA, xxix+461 pp.

3.            J. Mostow (editor). Special Issue on Artificial Intelligence and Software Engineering. IEEE Transactions on Software Engineering SE-11(11):1253-1408, November, 1985.

Chapters in Books

2.             Mostow, J., Beck, J., Cuneo, A., Gouvea, E., Heiner, C., & Juarez, O. (2010). Lessons from Project LISTEN's Session Browser. In C. Romero, S. Ventura, S. R. Viola, M. Pechenizkiy, & R. S. J. d. Baker (Eds.), Handbook of Educational Data Mining: Taylor & Francis Group, 389-416.

3.             Mostow, J., Aist, G., Huang, C., Junker, B., Kennedy, R., Lan, H., Latimer, D., O'Connor, R., Tassone, R., Tobin, B., & Wierman, A. (2008). 4-Month evaluation of a learner-controlled Reading Tutor that listens. In V. M. Holland & F. P. Fisher (Eds.), The Path of Speech Technologies in Computer Assisted Language Learning:  From Research Toward Practice (pp. 201-219). New York: Routledge.

4.             Aist, G., & Mostow, J. (2008). Faster, better task choice in a reading tutor that listens. In V. M. Holland & F. P. Fisher (Eds.), The Path of Speech Technologies in Computer Assisted Language Learning:  From Research Toward Practice (pp. 220-240). New York: Routledge.

5.             Mostow, J. (2008). Evaluation purposes, excuses, and methods:  Experience from a Reading Tutor that listens. In C. K. Kinzer & L. Verhoeven (Eds.), Interactive Literacy Education: Facilitating Literacy Environments Through Technology, pages 117-148.  New York: Lawrence Erlbaum Associates, Taylor & Francis Group.

6.             Mostow, J., & Beck, J. (2007). When the Rubber Meets the Road:  Lessons from the In-School Adventures of an Automated Reading Tutor that Listens. In B. Schneider & S.-K. McDonald (Eds.), Conceptualizing Scale-Up: Multidisciplinary Perspectives, Vol. 2, pages 183-200). Lanham, MD: Rowman & Littlefield.

7.             Mostow, J. and Aist, G. Evaluating tutors that listen. In K. Forbus and P. Feltovich (Eds.) Smart Machines in Education, 169-234. MIT/AAAI Press. 2001.

8.             J. Mostow, M. Barley, and T. Weinrich. Automated reuse of design plans in BOGART. In C. Tong and D. Sriram (editors), Artificial Intelligence in Engineering Design, chapter 2, pages 57-103. Academic Press, 1992. Revised version of paper in International Journal for Artificial Intelligence in Engineering, October 1989, volume 4, number 4, pages 181-196.

9.             J. Mostow. A transformational approach to knowledge compilation: replayable derivations of task-specific heuristic search algorithms. In M. Lowry and R. McCartney (editors), Automating Software Design, chapter 10, pages 231-259. AAAI Press, 1991.

10.          J. Mostow. Design by derivational analogy: issues in the automated replay of design plans. In J. Carbonell (editor), Machine Learning: Paradigms and Methods. MIT Press, 1990. Originally published in Artificial Intelligence 40: 1-3, September 1989, pages 119-184, Elsevier Science Publishers (North-Holland).

11.          F. Hayes-Roth, D. J. Mostow, and P. Klahr. Knowledge acquisition, knowledge programming, and knowledge refinement. In P. Klahr and D. Waterman (editor), Expert Systems: Techniques, Tools and Applications, pages 310-349. Addison-Wesley, 1986.

12.          J. Mostow. Why are design derivations hard to replay? In T. Mitchell, J. Carbonell, and R. Michalski (editors), Machine Learning: A Guide to Current Research, pages 213-218. Kluwer Academic Publishers, Hingham, MA, 1986. Revised and condensed version of paper in Proceedings of the 3rd International Machine Learning Workshop.

13.          D. J. Mostow. Machine transformation of advice into a heuristic search procedure. In J. G. Carbonell, R. S. Michalski, and T. M. Mitchell (editors), Machine Learning, pages 367-403. Palo Alto, CA: Tioga, 1983.

14.          F. Hayes-Roth, P. Klahr, and D. J. Mostow. Advice taking and knowledge refinement: an iterative view of skill acquisition. In J. A. Anderson (editor), Cognitive Skills and their Acquisition, pages 231-253. Erlbaum, 1981. Presented at 1980 Carnegie Symposium on Cognition, Pittsburgh, PA.

15.          D. J. Mostow and F. Hayes-Roth. A production system for speech understanding. In D. A. Waterman and F. Hayes-Roth (editors), Pattern-Directed Inference Systems, pages 471-481. Academic Press, New York, 1978.

16.          F. Hayes-Roth, D. J. Mostow, and M. Fox. Understanding speech in the Hearsay-II system. In L. Bolc (editor), Speech Communication with Computers, pages 9-42. Springer-Verlag, Berlin, 1978.

Refereed Journal Papers

16.          Chen, W., Mostow, J., & Aist, G. S. (2013, to appear). Recognizing Young Readers’ Spoken Questions. International Journal of Artificial Intelligence in Education.

17.          Liu, L., Mostow, J., & Aist, G. S. (2012). Generating Example Contexts to Help Children Learn Word Meaning. Journal of Natural Language Engineering, FirstView:  1-26. doi: 10.1017/S1351324911000374

18.          Duong, M., Mostow, J., & Sitaram, S. (2011). Two Methods for Assessing Oral Reading Prosody.  ACM Transactions on Speech and Language Processing (Special Issue on Speech and Language Processing of Children’s Speech for Child-machine Interaction Applications), 7(4):  14:11-22.

19.          González-Brenes, J. P., & Mostow, J. (2011). Classifying Dialogue in High-Dimensional Space. ACM Transactions on Speech and Language Processing (Special Issue on Machine Learning for Adaptivity in Spoken Dialogue Systems), 7(3):  8:1-15.

20.          Korsah, G. A., Mostow, J., Dias, M. B., Sweet, T. M., Belousov, S. M., Dias, M. F., & Gong, H. (2010). Improving Child Literacy in Africa: Experiments with an Automated Reading Tutor. Information Technologies and International Development 6(2), 1-19.

21.          Mostow, J., and Beck, J. (2006).  Some useful tactics to modify, map, and mine data from intelligent tutors. Natural Language Engineering (Special Issue on Educational Applications), 12(2), 195-208.

22.          Mostow, J., Beck, J., Bey, J., Cuneo, A., Sison, J., Tobin, B., & Valeri, J. (2004). Using automated questions to assess reading comprehension, vocabulary, and effects of tutorial interventions. Technology, Instruction, Cognition and Learning, 2, 97-134.

23.          Beck, J. E., Jia, P., & Mostow, J. Automatically assessing oral reading fluency in a computer tutor that listens (2004). Technology, Instruction, Cognition and Learning, 2, 61-81.

24.          Murray, R. C., VanLehn, K., & Mostow, J. (2004). Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach. International Journal of Artificial Intelligence in Education, 14, 235-278.

25.          Mostow, J., Aist, G., Burkhead, P., Corbett, A., Cuneo, A., Eitelman, S., Huang, C., Junker, B., Sklar, M. B., & Tobin, B. (2003). Evaluation of an automated Reading Tutor that listens:  Comparison to human tutoring and classroom instruction. Journal of Educational Computing Research, 29(1), 61-117.

26.          Mostow, J. and Aist, G. Giving help and praise in a reading tutor with imperfect listening – because automated speech recognition means never being able to say you’re certain. CALICO Journal 16:3, 407-424. Special issue (M. Holland, Ed.), Tutors that Listen: Speech Recognition for Language Learning, 1999.

27.          N. Bhatnagar and J. Mostow. On-line learning from search failures. Machine Learning 15(1):69-117, April, 1994.

28.          S. Mahadevan, T. Mitchell, J. Mostow, L. Steinberg, and P. Tadepalli. An apprentice-based approach to knowledge acquisition. Artificial Intelligence 64(1):1-52, November, 1993.

29.          J. Mostow. Towards automated development of specialized algorithms for design synthesis: knowledge compilation as an approach to computer-aided design. Research in Engineering Design 1(3):167-186, 1990.

30.          J. Mostow, M. Barley, and T. Weinrich. Automated reuse of design plans. International Journal for Artificial Intelligence in Engineering 4(4):181-196, October, 1989.

31.          M. Lam and J. Mostow. A transformational model of VLSI systolic design. IEEE Computer 18(2):42-52, February, 1985.

32.          J. Mostow. A decision-based framework for comparing hardware compilers. Journal of Systems and Software (4):39-50, 1984. Reviewed in ACM Computing Reviews, November 1984, pages 509-510.

  1. J. Mostow and B. Balzer. Application of a transformational software development methodology to VLSI design. Journal of Systems and Software (4):51-61, 1984. Reviewed in ACM Computing Reviews, January 1985, page 73.

Refereed Conference/Workshop Papers

30.    Mostow, J., Nelson, J., Kantorzyk, M., Gates, D., & Valeri, J. (2012, July 11-14). How does the amount of context in which words are practiced affect fluency growth?  Experimental results. Talk presented at the Nineteenth Annual Meeting of the Society for the Scientific Study of Reading, Montreal, Canada.

31.    Xu, Y., & Mostow, J. (2012, June 19-21). Comparison of methods to trace multiple subskills:  Is LR-DBN best? [Best Student Paper Award].  In Proceedings of the Fifth International Conference on Educational Data Mining, Chania, Crete, Greece.

32.    González-Brenes, J. P., & Mostow, J. (2012, June 19-21). Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models. In Proceedings of the Fifth International Conference on Educational Data Mining, Chania, Crete, Greece.

33.    Mostow, J., & Jang, H. (2012, June 7). Generating Diagnostic Multiple Choice Comprehension Cloze Questions. In NAACL-HLT 7th Workshop on Innovative Use of NLP for Building Educational Applications, Montréal, Canada. 

34.    Mostow, J. (2012, June 6-8). Why and How Our Automated Reading Tutor Listens. In International Symposium on Automatic Detection of Errors in Pronunciation Training (ISADEPT), 43-52.  KTH, Stockholm, Sweden.

35.    Chen, Y.-N., Chang, K.-M., & Mostow, J. (2012, June 3-8). Towards Using EEG to Improve ASR Accuracy. In The 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Montréal, Canada

36.    Sitaram, S., & Mostow, J. (2012, May 23-25). Mining Data from Project LISTEN’s Reading Tutor to Analyze Development of Children's Oral Reading Prosody [Best Paper Award]. In Proceedings of the 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25), Marco Island, Florida.

37.    Li, Y., & Mostow, J. (2012, May 23-25). Evaluating and improving real-time tracking of children’s oral reading. In Proceedings of the 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25), Marco Island, Florida.

38.    Xu, Y., & Mostow, J. (2012, May 23-25). Extending a Dynamic Bayes Net Toolkit to Trace Multiple Subskills. In Proceedings of the 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25), Marco Island, Florida.

39.    Jang, H., & Mostow, J. (2012, April 23-27). Inferring Selectional Preferences from Part-of-Speech N-grams. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France.

40.    Chen, W., Mostow, J., & Aist, G. (2011, November 4-6). Using Automatic Question Generation to Evaluate Questions Generated by Children.  Proceedings of the AAAI Symposium on Question Generation, Arlington, VA.

41.    Duong, M., Mostow, J., & Sitaram, S. (2011). Two Methods for Assessing Oral Reading Prosody ACM Transactions on Speech and Language Processing (Special Issue on Speech and Language Processing of Children’s Speech for Child-machine Interaction Applications), 7(4), 14:11-22.

42.    Gates, D., Aist, G., Mostow, J., Mckeown, M., & Bey, J. (2011, November 4-6). How to Generate Cloze Questions from Definitions: a Syntactic Approach. Proceedings of the AAAI Symposium on Question Generation, Arlington, VA.

43.    González-Brenes, J., Duan, W., & Mostow, J. (2011). How to Classify Tutorial Dialogue?  Comparing Feature Vectors vs. Sequences. Proceedings of the 4th International Conference on Educational Data Mining Retrieved from http://educationaldatamining.org/EDM2011/

44.    González-Brenes, J. P., & Mostow, J. (2011b, June 17-18). What System Differences Matter?  Using L1/L2 Regularization to Compare Dialogue Systems [Best Paper Nominee]. Paper presented at the SIGDial:  12th annual SIGdial Meeting on Discourse and Dialogue, Portland, OR.

45.    Chen, W., & Mostow, J. (2011, August 28-31). A Tale of Two Tasks: Detecting Children’s Off-Task Speech in a Reading Tutor.  Proceedings of the 12th Annual Conference of the International Speech Communication Association, Florence, Italy.

46.    Mostow, J., Chang, K.-m., & Nelson, J. (2011, June 28 - July 2). Toward Exploiting EEG Input in a Reading Tutor [Best Paper Nominee]. Proceedings of the 15th International Conference on Artificial Intelligence in Education, Auckland, NZ.

47.    Mostow, J., & Duan, W. (2011, June 24). Generating Example Contexts to Illustrate a Target Word Sense. Proceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications, Portland, OR.

48.    Mostow, J., González-Brenes, J., & Tan, B. H. (2011). Learning Classifiers from a Relational Database of Tutor Logs. Proceedings of the 4th International Conference on Educational Data Mining Retrieved from http://educationaldatamining.org/EDM2011/

49.    Mostow, J., & Sitaram, S. (2011, July). Mining data from Project LISTEN's Reading Tutor to analyze development of children’s oral reading prosody. Paper presented at the Eighteenth Annual Meeting of the Society for the Scientific Study of Reading.

50.    Mostow, J., Xu, Y., & Munna, M. (2011). Desperately Seeking Subscripts:  Towards Automated Model Parameterization. Proceedings of the 4th International Conference on Educational Data Mining. Retrieved from http://educationaldatamining.org/EDM2011/

51.    Rasmussen, M. H., Mostow, J., Tan, Z.-H., Lindberg, B., & Li, Y. (2011). Evaluating Tracking Accuracy of an Automatic Reading Tutor. Proceedings of the SLaTE:  ISCA  (International Speech Communication Association) Special Interest Group  (SIG) Workshop on Speech and Language Technology in Education.

52.    Sitaram, S., Mostow, J., Li, Y., Weinstein, A., Yen, D., & Valeri, J. (2011, August 24-26). What visual feedback should a reading tutor give children on their oral reading prosody? Proceedings of the SLaTE:  ISCA  (International Speech Communication Association) Special Interest Group  (SIG) Workshop on Speech and Language Technology in Education, Venice, Italy.

53.    Xu, Y., & Mostow, J. (2011a, July 6-8). Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!  [Best Poster Nominee]. Proceedings of the 4th International Conference on Educational Data Mining Eindhoven, Netherlands.

54.    Xu, Y., & Mostow, J. (2011b, July 6-8). Using Logistic Regression to Trace Multiple Subskills in a Dynamic Bayes Net. Proceedings of the 4th International Conference on Educational Data Mining Eindhoven, Netherlands.

55.    Duong, M., & Mostow, J. (2010, Sept. 26-30). Adapting a Duration Synthesis Model to Score Children's Oral Reading. Interspeech 2010, Makuhari, Japan, 769-772.

56.    Chen, W., Mostow, J., & Aist, G. (2010, June 14-18). Exploiting Predictable Response Training to Improve Automatic Recognition of Children's Spoken Questions. Proceedings of the Tenth International Conference on Intelligent Tutoring Systems (ITS2010), Pittsburgh, PA, 55-64.  © Springer-Verlag.

57.    Mostow, J., Aist., G., Bey, J., Chen, W., Corbett, A., Duan, W., Duke, N., Duong, M., Gates, D., Gonzalez, J. P., Juarez, O., Kantorzyk, M., Li, Y., Liu, L., McKeown, M., Trotochaud, C., Valeri, J., Weinstein, A., & Yen, D. (2010, June 14-18). A Better Reading Tutor That Listens [Interactive Event]. Proceedings of the Tenth International Conference on Intelligent Tutoring Systems (ITS2010), Pittsburgh, PA, 451.

58.    González-Brenes, J. P., & Mostow, J. (2010, June 11-13). Predicting Task Completion from Rich but Scarce Data. Proceedings of the 3rd International Conference on Educational Data Mining, Pittsburgh, PA, 291-292.

59.    Mostow, J., & Tan, B. H. L. (2010, June 11-13). AutoJoin:  Generalizing an Example into an EDM query. The Third International Conference on Educational Data Mining, Pittsburgh, PA, 307-308.

60.    Aist, G., Gates, D., McKeown, M., & Mostow, J. (2010, January 8). Derivational morphology affects children's word reading in English earlier than previously thought. Presented at Linguistic Society of America (LSA) Annual Meeting, Baltimore, MD.

61.    Aist, G., & Mostow, J. (2009, September 6-10). Designing Spoken Tutorial Dialogue with Children to Elicit Predictable but Educationally Valuable Responses. 10th Annual Conference of the International Speech Communication Association (Interspeech), Brighton, UK.

62.    Aist, G., & Mostow, J. (2009, September 3-5). Predictable and Educational Spoken Dialogues: Pilot Results. Second ISCA Workshop on Speech and Language Technology in Education (SLaTE), Wroxall Abbey Estate, Warwickshire, England.

63.    Duong, M., & Mostow, J. (2009, September 3-5). Detecting Prosody Improvement in Oral Rereading. Second ISCA Workshop on Speech and Language Technology in Education (SLaTE), Wroxall Abbey Estate, Warwickshire, England.

64.    Liu, L., Mostow, J., & Aist, G. (2009, September 3-5). Automated Generation of Example Contexts for Helping Children Learn Vocabulary. Second ISCA Workshop on Speech and Language Technology in Education (SLaTE), Wroxall Abbey Estate, Warwickshire, England.

65.    Mostow, J., & Duong, M. (2009, July 6-10). Automated Assessment of Oral Reading Prosody. Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED2009), Brighton, UK, 189-196.

66.    Mostow, J., & Chen, W. (2009, July 6-10). Generating Instruction Automatically for the Reading Strategy of Self-Questioning. Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED2009), Brighton, UK, 465-472.

67.    Chen, W., Aist, G., & Mostow, J. (2009, July 6). Generating Questions Automatically from Informational Text. Proceedings of AIED 2009 Workshop on Question Generation, Brighton, UK, 17-24.

68.    Mostow, J., & Beck, J. E. (2009, July 1-3). Why, What, and How to Log?  Lessons from LISTEN. Proceedings of the Second International Conference on Educational Data Mining, Córdoba, Spain, 269-278.

69.    Liu, L., Aist, G., & Mostow, J. (2009, May 2-3). Generating Example Contexts for Vocabulary Words: Initial Steps. Sixth Midwest Computational Linguistics Colloquium, Bloomington, Indiana.

70.    Mills-Tettey, A., Mostow, J., Dias, M. B., Sweet, T. M., Belousov, S. M., Dias, M. F., & Gong, H. (2009, April 17-19). Improving Child Literacy in Africa: Experiments with an Automated Reading Tutor. Honorable Mention for Student Paper Award. 3rd IEEE/ACM International Conference on Information and Communication Technologies and Development (ICTD2009), Carnegie Mellon, Doha, Qatar.

71.    Beck, J. E., Chang, K.-m., Mostow, J., & Corbett, A. (2008, June 23-27). Does help help?  Introducing the Bayesian Evaluation and Assessment methodology. 9th International Conference on Intelligent Tutoring Systems, Montreal, 383-394.  ITS2008 Best Paper Award.

72.    Beck, J. E., & Mostow, J. (2008, June 23-27). How who should practice:  Using learning decomposition to evaluate the efficacy of different types of practice for different types of students. 9th International Conference on Intelligent Tutoring Systems, Montreal, 353-362.  Nominated for ITS2008 Best Paper.

73.    Zhang, X., Mostow, J., & Beck, J. E. (2008). A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors. 9th International Conference on Intelligent Tutoring Systems, Montreal, 122-131.

74.    Zhang, X., Mostow, J., Duke, N. K., Trotochaud, C., Valeri, J., & Corbett, A. (2008, June 20-21). Mining Free-form Spoken Responses to Tutor Prompts. Proceedings of the First International Conference on Educational Data Mining, Montreal, 234-241.

75.    Mostow, J., & Zhang, X. (2008, June 20-21). Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors. Proceedings of the First International Conference on Educational Data Mining, Montreal, 28-37.

76.    Xu, L., Varadharajan, V., Maravich, J., Tongia, R., & Mostow, J. (2007, October 1-3). DeSIGN: An Intelligent Tutor to Teach American Sign Language. SLaTE workshop on Speech and Language Technology for Education, ISCA Tutorial and Research Workshop, The Summit Inn, Farmington, Pennsylvania.

77.    Zhang, X., Mostow, J., & Beck, J. E. (2007, July 9-13). Can a Computer Listen for Fluctuations in Reading Comprehension? Proceedings of the 13th International Conference on Artificial Intelligence in Education, Los Angeles, CA, 495-502.

78.    Zhang, X., Mostow, J., & Beck, J. E. (2007, July 9). All in the (word) family:  Using learning decomposition to estimate transfer between skills in a Reading Tutor that listens. AIED2007 Educational Data Mining Workshop, Marina del Rey, CA.

79.    Mostow, J. (2006, September 17-21). Is ASR accurate enough for automated reading tutors, and how can we tell? Proceedings of the Ninth International Conference on Spoken Language Processing (Interspeech 2006 — ICSLP), Special Session on Speech and Language in Education, Pittsburgh, PA, 837-840.

80.    Heiner, C., Beck, J., & Mostow, J. (2006, June 26-30). Automated Vocabulary Instruction in a Reading Tutor. Proceedings of the 8th International Conference on Intelligent Tutoring Systems, Jhongli, Taiwan, 741-743.

81.    Chang, K.-m., Beck, J. E., Mostow, J., & Corbett, A. (2006, July 17). Does Help Help?  A Bayes Net Approach to Modeling Tutor Interventions. AAAI2006 Workshop on Educational Data Mining, Boston, MA.

82.    Chang, K.-m., Beck, J., Mostow, J., & Corbett, A. (2006, June 26-30). A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems. Proceedings of the 8th International Conference on Intelligent Tutoring Systems, Jhongli, Taiwan, 104-113.

83.    Mostow, J., Beck, J., Cen, H., Gouvea, E., & Heiner, C. (2005, July). Interactive Demonstration of a Generic Tool to Browse Tutor-Student Interactions. Interactive Events Proceedings of the 12th International Conference on Artificial Intelligence in Education (AIED 2005), Amsterdam, 29-32.

84.    Mostow, J., Beck, J., Cuneo, A., Gouvea, E., & Heiner, C. (2005, July 18-22). A Generic Tool to Browse Tutor-Student Interactions:  Time Will Tell! Proceedings of the 12th International Conference on Artificial Intelligence in Education (AIED 2005), Amsterdam, 884-886. 

85.    Heiner, C., Beck, J., & Mostow, J. (2005, July 18-22). When do students interrupt help?  Effects of individual differences.  Proceedings of the 12th International Conference on Artificial Intelligence in Education (AIED 2005), Amsterdam, 819-826.

86.    Beck, J. E., Chang, K., Mostow, J., & Corbett, A. (2005, July 19). Using a student model to improve a computer tutor's speech recognition. Proceedings of the AIED 05 Workshop on Student Modeling for Language Tutors, 12th International Conference on Artificial Intelligence in Education, Amsterdam, 2-11. 

87.    Chang, K.., Beck, J. E., Mostow, J., & Corbett, A. (2005, July 19). Using speech recognition to evaluate two student models for a reading tutor. Proceedings of the AIED 05 Workshop on Student Modeling for Language Tutors, 12th International Conference on Artificial Intelligence in Education, Amsterdam, 12-21. 

88.    Mostow, J., Beck, J., Cen, H., Cuneo, A., Gouvea, E., & Heiner, C. (2005, July 10).  An Educational Data Mining Tool to Browse Tutor-Student Interactions:  Time Will Tell! Proceedings of the Workshop on Educational Data Mining, National Conference on Artificial Intelligence, Pittsburgh, 15-22.

89.    Beck, J. E., & Mostow, J. (2005, April 12). Mining Data from Randomized Within-Subject Experiments in an Automated Reading Tutor (poster in session 34.080, "Logging Students' Learning in Complex Domains:  Empirical Considerations and Technological Solutions"). American Educational Research Association 2005 Annual Meeting:  Demography and Democracy in the Era of Accountability, Montreal, Canada. 

90.    Beck, J. E., Mostow, J., & Bey, J. (2004, September 1-3). Can automated questions scaffold children's reading comprehension? Proceedings of the 7th International Conference on Intelligent Tutoring Systems, Maceio, Brazil.

91.    Mostow, J. (2004, August 30). Some useful design tactics for mining ITS data. ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes, Maceió, Alagoas, Brazil, 20-28.

92.    Heiner, C., Beck, J., & Mostow, J. (2004, August 30). Lessons on Using ITS Data to Answer Educational Research Questions. Proceedings of the ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes, Maceio, Brazil, 1-9.

93.    Heiner, C., Beck, J. E., & Mostow, J. (2004, June 17-19). Improving the Help Selection Policy in a Reading Tutor that Listens. Proceedings of the InSTIL/ICALL Symposium on NLP and Speech Technologies in Advanced Language Learning Systems, Venice, Italy, 195-198.

94.    Beck, J. E., Sison, J., & Mostow, J. (2004, June 27-30). Using automated speech recognition to measure scaffolding and learning effects of word identification interventions in a computer tutor that listens. Eleventh Annual Meeting of the Society for the Scientific Study of Reading, Amsterdam, The Netherlands.

95.    Banerjee, S., Mostow, J., Beck, J., & Tam, W. (2003, December 15-16). Improving Language Models by Learning from Speech Recognition Errors in a Reading Tutor that Listens. Second International Conference on Applied Artificial Intelligence, Fort Panhala, Kolhapur, India.

96.    Banerjee, S., Beck, J., & Mostow, J. (2003, September 1-4). Evaluating the Effect of Predicting Oral Reading Miscues. Proc. 8th European Conference on Speech Communication and Technology (Eurospeech 2003), Geneva, Switzerland.

97.    Tam, Y.-C., Beck, J., Mostow, J., & Banerjee, S. (2003, September 1-4). Training a Confidence Measure for a Reading Tutor that Listens. Proc. 8th European Conference on Speech Communication and Technology (Eurospeech 2003), Geneva, Switzerland.

98.    Mostow, J., & Beck, J. E. (2003, July 20-24). Project LISTEN's Reading Tutor:  Interactive Event Description. Supplemental  Proceedings of the Tenth International Conference on Artificial Intelligence in Education (AIED2003), Sydney, Australia, 30-32.

99.    Beck, J. E., Mostow, J., Cuneo, A., & Bey, J. (2003, July 20-24). Can automated questioning help children's reading comprehension? Proceedings of the Tenth International Conference on Artificial Intelligence in Education (AIED2003), Sydney, Australia, 380-382.

100.Beck, J. E., Jia, P., Sison, J., & Mostow, J. (2003, June 22-26). Predicting student help-request behavior in an intelligent tutor for reading. Proceedings of the 9th International Conference on User Modeling, Johnstown, PA, 303-312.

101.Beck, J. E., Jia, P., & Mostow, J. (2003, June 22-26). Assessing student proficiency in a Reading Tutor that listens. Proceedings of the 9th International Conference on User Modeling, Johnstown, PA, 323-327.

102.Mostow, J., Beck, J. E., & Valeri, J. (2003, June 22). Can Automated Emotional Scaffolding Affect Student Persistence?  A Baseline Experiment. Proceedings of the Workshop on "Assessing and Adapting to User Attitudes and Affect:  Why, When and How?" at the 9th International Conference on User Modeling (UM'03), Johnstown, PA, 61-64.

103.Mostow, J., Beck, J., Bey, J., Cuneo, A., Sison, J., & Tobin, B. (2003, June 12-15). An Embedded Experiment to Evaluate the Effectiveness of Vocabulary Previews in an Automated Reading Tutor. Tenth Annual Meeting of the Society for Scientific Studies of Reading, Boulder, CO.

104.Mostow, J., Beck, J., Chalasani, R., Cuneo, A., & Jia, P. (2002, October 14-16). Viewing and Analyzing Multimodal Human-computer Tutorial Dialogue:   A Database Approach. Fourth IEEE International Conference on Multimodal Interfaces (ICMI 2002), Pittsburgh, PA.  Revised version of paper first presented at ITS 2002 Workshop on Empirical Methods for Tutorial Dialogue Systems, San Sebastian, Spain.

105.Mostow, J., Beck, J., Winter, S. V., Wang, S., & Tobin, B. (2002, September 16-20). Predicting oral reading miscues. Seventh International Conference on Spoken Language Processing (ICSLP-02), Denver, CO.

106.Mostow, J., Aist, G., Bey, J., Burkhead, P., Cuneo, A., Junker, B., Rossbach, S., Tobin, B., Valeri, J., & Wilson, S. (2002, June 27-30). Independent practice versus computer-guided oral reading: Equal-time comparison of sustained silent reading to an automated reading tutor that listens. Ninth Annual Meeting of the Society for the Scientific Study of Reading, Chicago, Illinois.

107.Mostow, J., Aist, G., Beck, J., Chalasani, R., Cuneo, A., Jia, P., & Kadaru, K. (2002, June 5-7). A La Recherche du Temps Perdu , or As Time Goes By: Where does the time go in a Reading Tutor that listens? Sixth International Conference on Intelligent Tutoring Systems (ITS’2002), Biarritz, France.

108.Aist, G., Kort, B., Reilly, R., Mostow, J., & Picard, R. (2002, June 5-7). Adding Human-Provided Emotional Scaffolding to an Automated Reading Tutor that Listens Increases Student Persistence [Poster]. Sixth International Conference on Intelligent Tutoring Systems (ITS’2002), Biarritz, France.

109.Aist, G., Kort, B., Reilly, R., Mostow, J., & Picard, R. (2002, June 4). Experimentally Augmenting an Intelligent Tutoring System with Human-Supplied Capabilities:  Adding Human-Provided Emotional Scaffolding to an Automated Reading Tutor that Listens. ITS 2002 Workshop on Empirical Methods for Tutorial Dialogue Systems, San Sebastian, Spain.

110.Mostow, J., Beck, J., Chalasani, R., Cuneo, A., & Jia, P. (2002, June 4). Viewing and Analyzing Multimodal Human-computer Tutorial Dialogue:   A Database Approach. ITS 2002 Workshop on Empirical Methods for Tutorial Dialogue Systems, San Sebastian, Spain.

111.Mostow, J., Tobin, B., & Cuneo, A. (2002, June 3). Automated Comprehension Assessment in a Reading Tutor. ITS 2002 Workshop on Creating Valid Diagnostic Assessments, San Sebastian, Spain, pp. 52-63.

112.Jia, P., Beck, J. E., & Mostow, J. (2002, June 3). Can a Reading Tutor that Listens use Inter-word Latency to Assess a Student’s Reading Ability? ITS 2002 Workshop on Creating Valid Diagnostic Assessments, San Sebastian, Spain, pp. 23-32.

113.Murray, R. C., Van Lehn, K., and Mostow, J. A Decision-Theoretic Approach for Selecting Tutorial Discourse Actions. In Proceedings of the NAACL 2001 Workshop on Adaptation in Dialogue Systems, Pittsburgh, PA, June 2001.

114.Mostow, J., Aist, G., Bey, J., Burkhead, P., Cuneo, A., Rossbach, S., Tobin, B., Valeri, J., and Wilson, S. A hands-on demonstration of Project LISTEN’s Reading Tutor and its embedded experiments. To appear in Proceedings of the Software Demonstrations Program at Language Technologies 2001: The Second Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL 2001), Pittsburgh, PA, June 2-7, 2001.

115.Mostow, J., Huang, C., and Tobin, B. Pause the video: Quick but quantitative expert evaluation of tutorial choices in a reading tutor that listens. In J. D. Moore, C. L. Redfield, and W. L. Johnson (Eds.), Artificial Intelligence in Education: AI-ED in the Wired and Wireless Future, pp. 343-353. Amsterdam: IOS Press. Presented at the Tenth Artificial Intelligence in Education (AI-ED) Conference, San Antonio, Texas, May 2001.

116.Mostow, J., Aist, G. S., Burkhead, P., Corbett, A., Cuneo, A., Eitelman, S., Huang, C., Junker, B., Platz, C., Sklar, M. B., and Tobin, B. A controlled evaluation of computer- versus human-assisted oral reading. In J. D. Moore, C. L. Redfield, and W. L. Johnson (Eds.), Artificial Intelligence in Education: AI-ED in the Wired and Wireless Future, pp. 586-588. Amsterdam: IOS Press. Presented at the Tenth Artificial Intelligence in Education (AI-ED) Conference, San Antonio, Texas, May 2001.

117.Aist, G. S., Mostow, J., Tobin, B., Burkhead, P., Corbett, A., Cuneo, A., Junker, B., and Sklar, M. B Computer-assisted oral reading helps third graders learn vocabulary better than a classroom control – about as well as one-on-one human-assisted oral reading. In J. D. Moore, C. L. Redfield, and W. L. Johnson (Eds.), Artificial Intelligence in Education: AI-ED in the Wired and Wireless Future, pp. 267-277. Amsterdam: IOS Press. Presented at the Tenth Artificial Intelligence in Education (AI-ED) Conference, San Antonio, Texas, May 2001.

118.Fogarty, J., Dabbish, L. , Steck, D., and Mostow, J. Mining a database of reading mistakes: For what should an automated reading tutor listen? In J. D. Moore, C. L. Redfield, and W. L. Johnson (Eds.), Artificial Intelligence in Education: AI-ED in the Wired and Wireless Future, pp. 422-433. Amsterdam: IOS Press. Presented at the Tenth Artificial Intelligence in Education (AI-ED) Conference, San Antonio, Texas, May 2001.

119.Murray, R. C., Van Lehn, K., and Mostow, J. A Decision-Theoretic Architecture for Selecting Tutorial Discourse Actions. In Proceedings of the AIED-2001 Workshop on Tutorial Dialog Systems, San Antonio, Texas, May 2001, pp. 35-46.

120.Aist, G. and Mostow, J. Improving story choice in a reading tutor that listens. Proceedings of the Fifth International Conference on Intelligent Tutoring Systems (ITS’2000), p. 645. Montreal, Canada, June 2000. Poster Abstract.

121.Aist, G. and Mostow, J. Using Automated Within-Subject Invisible Experiments to Test the Effectiveness of Automated Vocabulary Assistance. In Joseph Beck (Ed.), Proceedings of ITS’2000 Workshop on Applying Machine Learning to ITS Design/Construction, pp. 4-8. Fifth International Conference on Intelligent Tutoring Systems. Montreal, Canada, June 2000.

122.Aist, G. and Mostow, J. Measuring the Effects of Backchanneling in Computerized Oral Reading Tutoring. Proceedings of the ESCA Workshop on Prosody and Dialog. Eindhoven, Netherlands, September 1999.

123.Mostow, J. and Aist, G. Authoring new material in a reading tutor that listens. Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Orlando, FL, July 1999, pp. 918-919. In the refereed Intelligent Systems Demonstration track. Also presented at 37th Annual Meeting of the Association for Computational Linguistics (ACL’99), College Park, MD, June, 1999.

124.Aist, G., Chan, P., Huang, X. D., Jiang, L., Kennedy, R., Latimer, D., Mostow, J., and Yeung, C. How effective is unsupervised data collection for children’s speech recognition? Proceedings of the International Conference on Speech and Language Processing (ICSLP98). Sydney, Australia, December, 1998.

125.G. Aist and J. Mostow. Estimating the effectiveness of conversational behaviors in a reading tutor that listens. In AAAI Spring Symposium on Applying Machine Learning to Discourse Processing. Stanford, CA, March, 1998. Reprinted in Proceedings of the Conference on Automated Learning and Discovery (CONALD98), June 11-13, 1998, Carnegie Mellon University, Pittsburgh, PA.

126.J. Kominek, G. Aist, and J. Mostow. When listening is not enough: Potential uses of vision for a reading tutor that listens. In AAAI Spring Symposium on Intelligent Environments. Stanford, CA, March, 1998. Reprinted in Proceedings of the Conference on Automated Learning and Discovery (CONALD98), June 11-13, 1998, Carnegie Mellon University, Pittsburgh, PA.

127.G. S. Aist and J. Mostow. A time to be silent and a time to speak: Time-sensitive communicative actions in a reading tutor that listens. In AAAI Fall Symposium on Communicative Actions in Humans and Machines. Boston, MA, November, 1997.

128.J. Mostow and G. S. Aist. When speech input is not an afterthought: A reading tutor that listens. In Proceedings of the Workshop on Perceptual User Interfaces. Banff, Canada, October, 1997. Reprinted in Proceedings of the Conference on Automated Learning and Discovery (CONALD98), June 11-13, 1998, Carnegie Mellon University, Pittsburgh, PA.

129.G. S. Aist and J. Mostow. Adapting human tutorial interventions for a reading tutor that listens: Using continuous speech recognition in interactive educational multimedia. In CALL’97 Conference on Multimedia. Exeter, England, September, 1997.

130.J. Mostow and G. Aist. The sounds of silence: Towards automated evaluation of student learning in a reading tutor that listens. In Proceedings of the 1997 National Conference on Artificial Intelligence (AAAI-97), pages 355-361. American Association for Artificial Intelligence, Providence, RI, July, 1997. See http://www.cs.cmu.edu/~listen/aaai97-talk-HTML/index.htm for conference presentation, including updated year-end results.

131.J. Mostow and G. Aist. Project LISTEN: A Reading Tutor that Listens. In World Conference on Educational Multimedia and Hypermedia. Calgary, Canada, June, 1997. Live demonstration.

132.J. Mostow, A. Hauptmann, and S. Roth. Demonstration of a Reading Coach that Listens. Proceedings of the Eighth Annual Symposium on User Interface Software and Technology. ACM SIGGRAPH and SIGCHI with SIGSOFT, Pittsburgh, PA, November, 1995.

133.J. Mostow, S. Roth, A. G. Hauptmann, and M. Kane. A Prototype Reading Coach that Listens. Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), pages 785-792. American Association for Artificial Intelligence, Seattle, WA, August, 1994. Recipient of the AAAI-94 Outstanding Paper Award.

134.J. Mostow, S. Roth, A. Hauptmann, M. Kane, A. Swift, L. Chase, and B. Weide. A reading coach that listens: (edited) video transcript. Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI94), pages 1507. Seattle, WA, August, 1994.

135.G. Hauptmann, J. Mostow, S. F. Roth, M. Kane, and A. Swift. A prototype reading coach that listens: Summary of Project LISTEN. In C. Weinstein (editor), Proceedings of the ARPA Workshop on Human Language Technology, page 237. ARPA SISTO, Morgan Kaufmann Publishers, Inc., Plainsboro, NJ, March, 1994.

136.G. Hauptmann, L. L. Chase, and J. Mostow. Speech recognition applied to reading assistance for children: A baseline language model. Proceedings of the 3rd European Conference on Speech Communication and Technology (EUROSPEECH93), pages 2255-2258. Berlin, September, 1993.

137.J. Mostow, A. G. Hauptmann, L. L. Chase, and S. Roth. Towards a reading coach that listens: Automated detection of oral reading errors. Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI93), pages 392-397. American Association for Artificial Intelligence, Washington, DC, July, 1993.

138.L. Y. Pratt, J. Mostow, and C. A. Kamm. Direct transfer of learned information among neural networks. Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI91), pages 584-589. American Association for Artificial Intelligence, July, 1991.

139.N. Bhatnagar and J. Mostow. Adaptive search by explanation-based learning of heuristic censors. Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI90), pages 895-901. Boston, MA, July, 1990. Available as Rutgers AI/Design Project Working Paper Number 169.

140.J. Mostow and A. E. Prieditis. Discovering admissible heuristics by abstracting and optimizing: a transformational approach. Proceedings of the Eleventh Joint International Conference on Artificial Intelligence, pages 701-707. Detroit, MI, August, 1989.

141.J. Mostow. Exploiting DIOGENES’ representations for search algorithms: propagating constraints. Proceedings of the IJCAI89 Workshop on Automated Software Development, pages 187-200. August, 1989.

142.J. Mostow. An object-oriented representation for search algorithms. Proceedings of the Sixth International Workshop on Machine Learning, pages 489-491. Morgan Kaufmann, Cornell University, Ithaca, NY, June, 1989.

143.J. Mostow and G. Fisher. Replaying transformational derivations of heuristic search algorithms in DIOGENES. Working Notes of the AAAI Spring 1989 Symposium on AI and Software Engineering, pages 47-50. Stanford, CA, February, 1989.

144.J. Mostow. Towards knowledge compilation as an approach to computer-aided design. Proceedings of the NSF Engineering Design Research Conference, pages 475-490. Amherst, MA, June, 1989.

145.W. Cohen, J. Mostow, and A. Borgida. Generalizing number in explanation-based learning. Working Notes of the AAAI Symposium on Explanation-Based Learning, pages 68-72. Stanford University, Palo Alto, CA, March, 1988.

146.S. Roy and J. Mostow. Parsing to learn fine grained rules. Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI88), pages 547-551. St. Paul, MN, August, 1988.

147.Prieditis and J. Mostow. PROLEARN: Towards a Prolog interpreter that learns. Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI87), pages 494-498. American Association for Artificial Intelligence, Seattle, WA, July, 1987.

148.J. Mostow and K. Voigt. Explicit integration of multiple goals in heuristic algorithm design. Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI87), pages 1090-1096. Morgan Kaufmann, Milan, Italy, August, 1987.

149.J. Mostow and N. Bhatnagar. Failsafe -- a floor planner that uses EBG to learn from its failures. Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI87), pages 249-255. Morgan Kaufmann, Milan, Italy, August, 1987.

150.J. Mostow and M. Barley. Automated reuse of design plans. In W. E. Eder (editor), Proceedings of the 1987 International Conference on Engineering Design (ICED87), pages 632-647. American Society of Mechanical Engineers, Boston, MA, August, 1987.

151.J. Mostow. Searching for operational concept descriptions in BAR, MetaLEX, and EBG. Proceedings of the Fourth International Workshop on Machine Learning, pages 376-382. Morgan Kaufmann, Irvine, CA, June, 1987.

152.J. Mostow and W. Swartout. Towards explicit integration of knowledge in expert systems: An Analysis of MYCIN’s Therapy Selection Algorithm. Proceedings of the Fifth National Conference on Artificial Intelligence (AAAI86), pages 928-935. Philadelphia, PA, August, 1986.

153.J. Mostow and D. Cohen. Automating program speedup by deciding what to cache. Proceedings of the Ninth International Joint Conference on Artificial Intelligence (IJCAI85), pages 165-172. Los Angeles, CA, August, 1985.

154.J. Mostow. Some requirements for effective replay of derivations. Proceedings of the 3rd International Machine Learning Workshop, pages 129-132. Skytop, PA, June, 1985.

155.J. Mostow. Program transformations for VLSI. Proceedings of the Eighth International Joint Conference on Artificial Intelligence (IJCAI83), pages 40-43. Karlsruhe, Germany, 1983.

156.J. Mostow. A problem-solver for making advice operational. Proceedings of the Third National Conference on Artificial Intelligence (AAAI83), pages 279-283. American Association for Artificial Intelligence, Washington, DC, August, 1983.

157.J. Mostow. Operationalizing advice: a problem-solving model. Proceedings of the Second International Machine Learning Workshop, pages 110-116. University of Illinois, June, 1983.

158.M. Lam and J. Mostow. A transformational model of VLSI systolic design. In IFIP 6th International Symposium on Computer Hardware Description Languages and their Applications, pages 65-77. Carnegie-Mellon University, May, 1983.

159.D. J. Mostow and F. Hayes-Roth. Operationalizing heuristics: some AI methods for assisting AI programming. Proceedings of the Sixth International Joint Conference on Artificial Intelligence (IJCAI79), pages 601-609. Tokyo, Japan, August, 1979.

160.M. Fox and D. J. Mostow. Maximal consistent interpretations of errorful data in hierarchically modeled domains. Proceedings of the Fifth International Joint Conference on Artificial Intelligence (IJCAI77), pages 165-171. Cambridge, MA, 1977.

161.F. Hayes-Roth and D. J. Mostow. Syntax and semantics in a distributed logic speech understanding system. Proceedings of the International Conference on Acoustics, Speech and Signal Processing, pages 421-424. IEEE, 1976.

162.F. Hayes-Roth and D. J. Mostow. An automatically compilable recognition network for structured patterns. Proceedings of the Fourth International Joint Conference on Artificial Intelligence (IJCAI75), pages 246-251. Tbilisi, USSR, 1975.

Unrefereed Conference/Workshop Papers

163.Mostow, J. Collaborative Research on Learning Technologies: An Automated Reading Assistant That Listens. Proceedings of the NSF Human-Computer Interaction Grantees Workshop (HCIGW99), Orlando, FL, February, 1999. At http://nsf-workshop.engr.ucf.edu/reports.asp under "2. Speech and Natural Language Understanding".

164.Mostow, J. Guiding Spoken Dialogue with Computers by Responding to Prosodic Cues. Proceedings of the NSF Human-Computer Interaction Grantees Workshop (HCIGW99), Orlando, FL, February, 1999. At http://nsf-workshop.engr.ucf.edu/reports.asp under "2. Speech and Natural Language Understanding".

165.J. Mostow. Collaborative Research on Learning Technologies: An Automated Reading Assistant That Listens. Proceedings of the NSF Interactive Systems Grantees Workshop (ISGW97), Stevenson, Washington, August, 1997.

166.J. Mostow. Guiding Spoken Dialogue with Computers by Responding to Prosodic Cues. Proceedings of the NSF Interactive Systems Grantees Workshop (ISGW97), Stevenson, Washington, August, 1997.

167.J. Mostow and M. Eskenazi. A Database of Children’s Speech. Proceedings of the NSF Interactive Systems Program Grantees Workshop. National Science Foundation, Stevenson, Washington, August, 1997.

168.J. Mostow and M. Eskenazi. Guiding spoken dialogue with computers by responding to prosodic cues. In R. Jacobs (editor), Proceedings of the NSF Interactive Systems Program Grantees Workshop. National Science Foundation, Cambridge, MA, November, 1995. Proceedings on the World Wide Web at http://www.cs.tufts.edu/~jacob/isgw/.

169.J. Mostow and T. Fawcett. Generating useful approximations: a transformational model. Proceedings of the AAAI90 Workshop on Automatic Generation of Approximations and Abstractions, pages 302-311. July, 1990. Available as Rutgers AI/Design Project Working Paper Number 81.

170.J. Mostow, T. Ellman, and A. Prieditis. A unified transformational model for discovering heuristics by idealizing intractable problems. Proceedings of the AAAI90 Workshop on Automatic Generation of Approximations and Abstractions, pages 290-301. July, 1990. Available as Rutgers AI/Design Project Working Paper Number 157.

171.J. Mostow. Towards knowledge compilation as an approach to computer-aided design. In J. Gero (editor), Proceedings of the Workshop on Research Directions for AI in Design, pages 21-37. University of Sydney, Australia, March, 1989.

172.J. Mostow and G. Fisher. Replaying transformational derivations of heuristic search algorithms in DIOGENES. Proceedings of the DARPA Workshop on Case-Based Reasoning, pages 94-99. Pensacola, FL, May, 1989.

173.J. Mostow. Some emerging opportunities in artificial intelligence: problem-solving frameworks for specialized problem classes. Proceedings of the Bellcore Artificial Intelligence Symposium, pages 97-98. Asbury Park, NJ, June, 1988. Position paper for invited panel on Future Directions in AI.

174.J. Mostow. A preliminary report on DIOGENES: Progress towards Semi-automatic Design of Specialized Heuristic Search Algorithms. Proceedings of the AAAI88 Workshop on Automated Software Design, pages 111-124. St. Paul, MN, August, 1988.

175.J. Mostow and S. Roy. Machine learning for knowledge acquisition in design systems. Proceedings of the IFIP Working Group 5.2 Workshop on Intelligent CAD. M.I.T., Boston, October, 1987. Extended abstract.

176.J. Mostow. Knowledge Compilation as a Design Process. In Workshop on Knowledge Compilation. Oregon State University, September, 1986. Talk presented at workshop.

132.      J. Mostow and B. Balzer. A program-transformation approach to VLSI design. In 1982 VLSI and Software Engineering Workshop Report, pages 126-133. IEEE, 1983.

133.      J. Mostow. A decision-based framework for understanding hardware compilers. In 1982 VLSI and Software Engineering Workshop Report, pages 117-125. IEEE, 1983.

Technical Reports

134.      J. Mostow, T. Ellman, and A. Prieditis. A unified transformational model for discovering heuristics by idealizing intractable problems. February, 1990. Available as Rutgers AI/Design Project Working Paper Number 157.

135.      J. Mostow. Deciding what to learn: An alternative approach. August, 1989. Rutgers AI/Design Project Working Paper Number 143. 22 pages. Preliminary draft.

136.      J. Mostow, L. Steinberg, N. Langrana, and C. Tong. Artificial intelligence aids for VLSI and A domain independent model of knowledge-based design: Research status report. November, 1987. 26 pages. Rutgers AI/Design Project Working Paper 79.

137.      J. Mostow. Semi-automatic design of specialized heuristic search algorithms: A plan of research. February, 1988. 12 pages. Rutgers AI/Design Project Working Paper Number 97.

138.      J. Mostow. A specialized representation for heuristic search algorithms. February, 1988. 6 pages. Rutgers AI/Design Project Working Paper Number 98.

139.      J. Mostow. Derivations of SPIKE-like search algorithms. February, 1988. 4 pages. Rutgers AI/Design Project Working Paper Number 99.

140.      J. Mostow. Derivation of SPIKE-like search algorithm #2. March, 1988. 7 pages. Rutgers AI/Design Project Working Paper Number 100.

141.      J. Mostow. Some rules for deriving heuristic search algorithms. March, 1988. 5 pages. Rutgers AI/Design Project Working Paper Number 101.

142.      J. Mostow. Derivation of heuristic search algorithm. May, 1988. 4 pages. Rutgers AI/Design Project Working Paper Number 102.

143.      J. Mostow. Derivation of SPIKE-like search algorithm #3 and variations. June, 1988. 27 pages. Rutgers AI/Design Project Working Paper Number 106.

144.      J. Mostow. An object-oriented representation for search algorithms. July, 1988. 36 pages. Rutgers AI/Design Project Working Paper Number 107.

145.      J. Mostow and C. Tong. Syllabus for Graduate Seminar in Knowledge Compilation. September, 1988. 12 pages. Rutgers AI/Design Project Working Paper Number 109.

146.      J. Mostow, L. Steinberg, N. Langrana, and C. Tong. A domain independent model of knowledge-based design: Progress report to the National Science Foundation. March, 1988. 13 pages. Rutgers AI/Design Project Working Paper 90.

147.      J. Mostow and T. Fawcett. Generating useful approximations: a transformational model. March, 1988. 17 pages. Rutgers AI/Design Project Working Paper Number 81.

148.      J. Mostow and T. Fawcett. Approximating intractable theories: a problem space model. Technical Report ML-TR-16, Rutgers University Computer Science Department, December, 1987. 53 pages. Also available as Rutgers AI/Design Project Working Paper Number 50-1.

149.      J. Mostow. Mechanical Transformation of Task Heuristics into Operational Procedures. PhD thesis, Carnegie-Mellon University, 1981. Technical Report CMU-CS-81-113. 499 pages. Thesis Committee: Allan Newell (chair), Frederick Hayes-Roth (advisor), Jaime Carbonell, and Robert Balzer (outside member).

150.      D. J. Mostow and F. Hayes-Roth. Machine-aided heuristic programming: A paradigm for knowledge engineering. Technical Report Rand-N-1007-NSF, The Rand Corporation, Santa Monica , CA, 1979.

150.      D. J. Mostow. A halting condition and related pruning heuristic for combinatorial search. In Speech Understanding Systems: Summary of Results of the Five-Year Research Effort at Carnegie-Mellon University, pages 158-166. Carnegie-Mellon University Department of Computer Science, Pittsburgh, PA, 1977.

Other Publications

151.      J. Mostow. Review of Laird, Rosenbloom, and Newell’s Universal Subgoaling and Chunking. American Scientist 76:410, July-August, 1988.

152.      Tom Mitchell and Jack Mostow. Artificial Intelligence and Design. AAAI, Seattle, WA, 1987. 90-page syllabus for 4-hour tutorial presented at AAAI87. Reprinted as Rutgers AI/Design Project Working Paper 91.

153.      J. Mostow. Some of the experimental AI at Rutgers CS Department in 1987. June, 1987. Rutgers AI/Design Project Working Shirt Number 64.

154.      J. Mostow. What is AI? And what does it have to do with software engineering? IEEE Transactions on Software Engineering SE-11(11):1253-1256, November, 1985. Editor’s Forward to special issue on AI and software engineering.

155.      J. Mostow. Response to Derek Partridge. AI Magazine 6(3):51-52, Fall, 1985. Note responding to comments on article "Toward better models of the design process".

156.      J. Mostow. On "Learning Language". AI Magazine 6(3):48, Fall, 1985.

157.      J. Mostow. Toward better models of the design process. AI Magazine 6(1):44-57, Spring, 1985.

158.      J. Mostow. IEEE Workshop on Principles of Knowledge-Based Systems: a personal review. SIGART Newsletter (92):15-27, April, 1985.

159.      J. Mostow and R. Kerber. Transformational Derivation of a Simple Two-Robot Algorithm (Abstract). Proceedings of the Second Meeting of the Southern California Artificial Intelligence Society. IBM Los Angeles Scientific Center, Los Angeles, CA, January, 1985.

160.      J. Mostow. Machine Learning Research at ISI (Abstract). Proceedings of the First Meeting of the Southern California Artificial Intelligence Society. Computer Science Department, University of Ca lifornia, Los Angeles, CA, October, 1984.

161.      J. Mostow. 1983 International Machine Learning Workshop: an informal report. SIGART Newsletter (86):24-31, October, 1983.

162.      J. Mostow. A revised architecture for rule-based systems. SIGART Newsletter (63):85-86, June, 1977.

Patents and Invention Disclosures

163.      J. Mostow et al.  An Educational Data Mining Tool to Browse Tutor-Student Interactions.  February, 2005.  Disclosure of Invention.

164.      J. Mostow.  A Publicly Verifiable Process for Tabulating Secret Ballots.  January, 2001.  Disclosure of Invention.

165.      Mostow, J. and Aist, G. Reading and Pronunciation Tutor. United States Patent No. 5,920,838. Filed June 2, 1997; issued July 6, 1999. US Patent and Trademark Office.

166.      J. Mostow, G. Aist, and J. Hill. Reading and Pronunciation Tutors that Listen. January, 1997. Disclosure of Invention. Patent applied for by Carnegie Mellon.

167.      J. Mostow, S. Roth, A. Hauptmann, M. Kane, L. Chase, A. Swift, B. Weide, and L. Thyberg. An Automated Coach for Oral Reading. September, 1993. Disclosure of Invention.

Software Artifacts

168.      M. Eskenazi and J. Mostow. The CMU KIDS Speech Corpus. Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, 1997. Corpus of children’s read speech digitized and transcribed on two CD-ROMs, with assistance from Multicom Research and David Graff.

Video Productions

169.      J. Mostow. Project LISTEN’s Reading Tutor Is Helping Me Learn to Read. September, 1998. 10-minute video.

170.      J. Mostow. Pilot Evaluation of a Reading Tutor that Listens (5-minute video). July, 1997. Presented at the Fourteenth National Conference on Artificial Intelligence (AAAI-97) and the Ninth National Conference on Innovative Applications of Artificial Intelligence (IAAI-97).

171.      J. Mostow. A Reading Tutor that Listens (5-minute video). November, 1996. Presented at the DARPA CAETI Community Conference, November 19-22, 1996, Berkeley, CA.

172.      J. Mostow. A Reading Coach that Listens: Project LISTEN (4-minute video). In UIST ‘95 Video Proceedings (Eighth Annual Symposium on User Interface Software and Technology), pages 52:34 - 56:40. ACM SIGGRAPH and SIGCHI with SIGSOFT, Pittsburgh, PA, November, 1995.

173.      J. Mostow, S. Roth, A. Hauptmann, M. Kane, A. Swift, L. Chase, and B. Weide. A Reading Coach that Listens (6-minute video). In Video Track of the Twelfth National Conference on Artificial Intelligence (AAAI94). American Association for Artificial Intelligence, Seattle, WA, August, 1994.

174.      Mostow, J., Roth, S., Hauptmann, A., Kane, M., Swift, A., Chase, L., & Weide, B. (1993). Getting Computers to Listen to Children Read: A New Way to Combat Illiteracy (7-minute video).  Overview and Wizard of Oz research methodology of Project LISTEN as of July 1993.

Television Interviews (about Project LISTEN)

CTV (2006, March 16).  Interview with Ken Reeder on the Vancouver Reading Tutor Project (3m28s).  CTV News. Canada.  (Note: independent news story about using the Reading Tutor in research at UBC.)

Han, C. (2004, January 7). Cover Story:  A high-tech teacher comes to area schools (7m26s). On OnQ Magazine. Pittsburgh, PA: WQED.  Rebroadcast February 2005.

Frey, K. (2003, October 17). CMU's Automated Reading Tutor Helps Children (2m16s). On Evening News. Pittsburgh, PA: WTAE.   Available at www.cs.cmu.edu/~listen.

Doyle, M., & Koch, D. (2003, July 23). Live interview with Jack Mostow (4m30s). On Sunrise [morning television show]. Sydney, Australia: Channel Seven.  Available at www.cs.cmu.edu/~listen.

Rubin, J. (2002). The Sounds of Speech (Show 3). On Reading Rockets (Public Television series commissioned by U.S. Department of Education). Washington, DC: WETA.  Contains 3-minute segment on Project LISTEN, available at www.cs.cmu.edu/~listen.

Additional Recent and Upcoming Presentations (on Project LISTEN)

July 2013              Invited keynote, 16th International Conference on Artificial Intelligence in Education, Memphis, Tennessee

April 2013             Invited talk, Early Education and Technology for Children Conference, Salt Lake City, Utah

April 2013             Invited talk, Texas A&M University

March 2013          Invited talk, Northern Illinois University

February 2013     Invited panel on Educational Data Mining and Learning Analytics at the Computing Research Association Workshop on Multidisciplinary Research for Online Education,Washington, DC

June 2012             Computer Science colloquium, Hebrew University, Jerusalem, Israel

June 2012             Invited keynote, International Symposium on Automatic Pronunciation Error Detection (ISADEPT), Stockholm, Sweden

May 2012             Invited talk at the Workshop on Optimal Teaching, NSF Temporal Dynamics of Learning Center at University of California at San Diego

November 2011   Invited keynote on Questions and Answers about Questions and Answers: Lessons from generating, scoring, and analyzing questions in a Reading Tutor for children, AAAI Symposium on Question Generation, Arlington, VA

April 2011             What Are We Learning about Reading from Studies in Labs, a Reading Tutor that Listens, and People at Schools?, Annual Conference of the International Association of Laboratory and University Affiliated Schools (NALS), Pittsburgh, PA

April 2011             What can we learn from an automated Reading Tutor that listens?, Allegheny Intermediate Unit meeting on Research on Vocabulary Learning, Learning Research and Development Center, University of Pittsburgh

January 2010       Reading Tutor Evaluation Approaches:  Redefining, Evaluating, (Visualizing), and Improving the Reading Tutor's Tracking Accuracy.  Speech Group lunch talk.  With Morten Rasmussen.

October 2009       How often are prefixes useful cues to word meaning?  Less than you might think!  Pittsburgh Science of Learning Center lunch talk.

June 2009             How often are prefixes useful cues to word meaning?  Less than you might think! Sixteenth Annual Meeting of the Society for the Scientific Study of Reading, Boston.  With Greg Aist.

March 2009          Does fluency growth transfer among related words?  Longitudinal evidence from Project LISTEN's Reading Tutor.  Cognitive Modeling Seminar, Psychology Department.

Sept 2008              Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors.  PIER EdBag seminar.

July 2008              A Reading Tutor that Listens.  Talk for summer Andrew’s Leap program at Carnegie Mellon.  Pittsburgh, PA.

July 2008              Mostow, J., Beck, J., Zhang, X., & Leszczenski, J. Does fluency growth transfer among related words?  Longitudinal evidence from Project LISTEN's Reading Tutor. Fifteenth Annual Meeting Society for the Scientific Study of Reading, Asheville, North Carolina.

April 2008             Embedding Experiments in a Reading Tutor that listens.  Guest lecture, Research Methods course.

April 2008             What can we learn from a Reading Tutor that listens?  Computer Science Department seminar, Brandeis University, Waltham, MA.

April 2008             What can we learn from a Reading Tutor that listens?  Brain and Behavior Center, University of Haifa, Israel.

June 2007             (Invited speaker):  How Can We Learn from a Reading Tutor that Listens?  NSF brownbag panel on IERI.  Washington, DC.

April 2007             What can we learn from a Reading Tutor that listens?  Invited keynote at Symposium on Virtual Communication Support, Leuven, Belgium.

August 2006         Scaling up via Academic-Commercial Partnership: A Tale of Two Tutors.  Annual Meeting of Interagency Education Research Initiative (IERI) Principal Investigators.

July 2006              Refined micro-analysis of fluency gains in a Reading Tutor that listens. Thirteenth Annual Meeting of the Society for the Scientific Study of Reading, Vancouver, BC.

February 2006     A Reading Tutor that Listens.  Pennsylvania Educational Technology Exposition & Conference (PETE&C) in Hershey, PA.

August 2005         (Invited organizer and speaker):  Educational Data Mining Success Stories.  Panel on Data Mining and Analysis.  Annual Meeting of Interagency Education Research Initiative (IERI) Principal Investigators.  Washington, DC.

August 2005         A Reading Tutor that Listens.  Talk for summer Andrew’s Leap program at Carnegie Mellon.  Pittsburgh, PA.

July 2005              Micro-analysis of fluency gains in a Reading Tutor that listens:  Wide vs. repeated guided oral reading.  Twelfth Annual Meeting of the Society for the Scientific Study of Reading. Toronto.

April 2005             Mining Data from Randomized Within-Subject Experiments in an Automated Reading Tutor.  Poster at AERA panel on "Logging Students' Learning in Complex Domains: Empirical Considerations and Technological Solutions."

April 2005             A Reading Tutor that Listens.  Pennsylvania Training and Technical Assistance Network, PA Department of Education.   Harrisburg, PA.

September 2004  Experimenter-defined measures in a Reading Tutor that listens. IERI Principal Investigator Meeting, Pentagon City, VA.

July 2004              If I Have a Hammer:  Computational Linguistics in a Reading Tutor that Listens.  Invited keynote address at 42nd Annual Meeting of the Association of Computational Linguistics (ACL-EACL 2004), Barcelona, Spain.

June 2004             Which Help Helps?  Effects of Various Types of Help on Word Learning in an Automated Reading Tutor that Listens.  Eleventh Annual Meeting of the Society for the Scientific Study of Reading, Amsterdam, The Netherlands.

September 2004  Experimenter-defined measures in a Reading Tutor that Listens.  IERI Principal Investigator Meeting.

April 2004             A Reading Tutor that Listens.   Robotics Institute staff lunch talk.

November 2003   Invited talk at conference on Conceptualizing Scale-Up: Multidisciplinary Perspectives, Washington, DC.

October 2003       Invited talk at Covenant House retirement community.

October 2003       Guest lecture in course on ICT4B (Information Communication Technology for 4 Billion), taught jointly at Carnegie Mellon and UC Berkeley. 

November 2002   Guest presentation at Prof. Rollanda O’Connor’s graduate course on reading, University of Pittsburgh

November 2001   Workshop on “Bridging the Digital Divide for Work and Play,” Toronto, Canada

August 2001         Workshop on "Facilitating Constructivist Literacy Environments Through Technology," University of Nijmegen, the Netherlands

June 2001             Panel on "Looking Back 25 Years from Now: Key Developments in Conversational Systems," NAACL workshop on Adaptation in Dialogue Systems, Pittsburgh, PA

April 2001             Educational Technology Symposium, Carnegie Mellon University, Pittsburgh, PA

Febuary 2001       CIRCLE Advisory Board meeting, Pittsburgh, PA

December 2000   Inter-agency Educational Research Initiative (IERI) Principal Investigators Meeting, Washington, DC

October 2000       Allegheny Intermediate Unit Superintendents’ Conference, Dawson, PA

April 2000             Tutorial on Reading Tutor, U.S. Department of Education, Washington, DC

April 2000             Joint CIL-CIRCLE seminar, Pittsburgh, PA

February 2000     Language Technologies Institute Seminar, Pittsburgh, PA

November 1999   IERI Principal Investigators Meeting, Washington, DC

June 1999             Chair, Harvard-Radcliffe 25th Reunion Panel on "Science and Medicine Near the Millennium", Cambridge, MA

May 1999             Advisory panel on technology, U.S. Department of Education, Washington, DC

May 1999             Learning and Intelligent Systems PI Meeting, National Science Foundation, Washington, DC

February 1999     Institute for Learning, Pittsburgh, PA

May 1998             Coalition for National Science Funding (CNSF), Washington, DC (demo selected to represent Computing Research Association)

October 1997       Defense Evaluation Research Administration (DERA), Malvern, England

July 1997              Ninth National Conference on Innovative Applications of Artificial Intelligence (IAAI-97), Providence, RI (invited survey of Artificial Intelligence and Education)

June 1997             DARPA CAETI Community Meeting, Fairfax, VA (hands-on demos)

April 1997             Forum on Interactive Technology and Software Development, U.S. Department of Education

March 1997          Robotics Institute and Center for Innovation in Learning, Carnegie Mellon University

November 1996   DARPA CAETI Community Meeting, Berkeley, CA

May 1996             First CMU Symposium on Technology Enhanced Learning (TEL), Pittsburgh, PA (demo)

April 1996             Ernest L. Boyer Technology Summits for Educators, Pittsburgh, PA

March 1996          Schenley High Technology Magnet Conference for Pittsburgh area high school students (demo)

December 1995   CMU computer science graduate course on speech processing (guest lecture and demo)

December 1995   DoDEA/CAETI Technology Brainstorm Session to develop initial plans for using technology for language arts/reading curriculum development, Department of Defense Educational Activity and Advanced Research Projects Agency, Alexandria, VA

November 1995   Eighth Annual Symposium on User Interface Software and Technology (UIST’95). Sponsored by ACM SIGGRAPH and SIGCHI with SIGSOFT, Pittsburgh, PA (refereed demonstration)

November 1995   Colloquium, Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD (lecture and demo)

August 1995         "Technology Review: Speech Recognition for Language Sustainment," Fayetteville, NC, co-sponsored by Special Operations Research, Development and Acquisition Center (SORDAC), US Army Research Institute (ARI), and Advanced Research Projects Agency (ARPA) with US Army Special Operations Command (USASOC) Language Office (presentation and demo)

May 1995             "Basic Research in the National Defense: University Contributions to Preparedness," sponsored by the American Association of Universities, Washington, DC (demo)

May 1995             Fourth International Workshop on Human & Machine Cognition: "Smart Machines in Education & Training: Perils and Promise," Seaside, FL

August 1994         7th Annual Adult Literacy & Technology Conference, Atlanta, GA

July 1994              Careers in Applied Science and Technology program (high school students and teachers)

July 1994              National Science Foundation Project Directors’ Meeting, Applications of Advanced Technology Program, Washington, DC (presentation and hands-on demo)

May 1994             NATO RSG-10 Speech Study Section, CMU (hands-on demo)

April 1994             CMU Electrical and Computer Engineering Graduate Seminar

March 1994          Schenley High Technology Magnet Conference for Pittsburgh area high school students (demo)

March 1994          CMU computer science graduate course on speech processing (guest lecture)

March 1994          ARPA Workshop on Human Language Technology, Princeton, NJ (demo)

February 1994     University of Pittsburgh Learning Research and Development Center

February 1994     CMU Human-Computer Interaction Seminar

November 1993   Harvard University Center for Research in Computing Technology, Cambridge, MA

November 1993   CMU Robotics Institute Seminar

June 1993             Project Directors’ Meeting, NSF Applications of Advanced Technology Program, Washington, DC