(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",
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,
1991 Eighth
International Machine Learning Workshop (IMLW91), Northwestern University,
1990 AAAI90
Workshop on Automated Generation of Approximations and Abstractions,
1989 Sixth
International Workshop on Machine Learning (IMLW89),
1986
1984 Rutgers
Workshop on Knowledge-Based Design Aids: Models of the Design Process,
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 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),
1988 Seventh
National Conference on Artifical Intelligence (AAAI88), Radisson-St. Paul,
1988 Fifth
International Conference on Machine Learning (IMLC88),
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 (
1992 Neeraj Bhatnagar, Computer Science PhD (
1990 Armand Prieditis, Computer Science PhD (
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 (
1990 Sridhar Mahadevan, Computer Science PhD (
1990 Prasad Tadepalli, Computer Science PhD (
1989 Thomas Ellman, Computer Science PhD (
1989 Keith Williamson, Computer Science M.Phil (
1988 Smadar Kedar-Cabelli, Computer Science PhD (
1986 Richard M. Keller, Computer Science PhD (
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
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
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
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
2004–06 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.
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.
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/
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/
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/
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
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.
August 2005 A
July 2005 Micro-analysis
of fluency gains in a
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.
September
2004 Experimenter-defined measures
in a
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,
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,
November 2001 Workshop on “Bridging the Digital Divide
for Work and Play,”
August 2001 Workshop on "Facilitating Constructivist
Literacy Environments Through Technology,"
June 2001 Panel on "Looking Back 25
Years from Now: Key Developments in Conversational Systems," NAACL
workshop on Adaptation in Dialogue Systems,
April 2001 Educational Technology Symposium,
Febuary 2001 CIRCLE Advisory Board meeting,
December 2000 Inter-agency Educational Research Initiative
(IERI) Principal Investigators Meeting,
October 2000 Allegheny Intermediate Unit
Superintendents’ Conference,
April 2000 Tutorial on Reading
April 2000 Joint CIL-CIRCLE seminar,
February 2000 Language Technologies Institute Seminar,
November 1999 IERI Principal Investigators Meeting,
June 1999 Chair, Harvard-Radcliffe 25th
Reunion Panel on "Science and Medicine Near the Millennium",
May 1999 Advisory panel on technology, U.S.
Department of Education,
May 1999 Learning and Intelligent Systems PI
Meeting, National Science Foundation,
February 1999 Institute for Learning,
May 1998 Coalition for National Science
Funding (CNSF),
October 1997 Defense Evaluation Research
Administration (DERA),
July 1997 Ninth National Conference on Innovative
Applications of Artificial Intelligence (IAAI-97),
June 1997 DARPA CAETI Community Meeting,
April 1997 Forum on Interactive Technology and
Software Development,
March 1997 Robotics Institute and Center for
Innovation in Learning,
November 1996 DARPA CAETI Community Meeting,
May 1996 First CMU Symposium on Technology
Enhanced Learning (TEL),
April 1996 Ernest L. Boyer Technology Summits
for Educators,
March 1996 Schenley High Technology Magnet
Conference for
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,
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,
May 1995 Fourth International Workshop on
Human & Machine Cognition: "Smart Machines in Education &
Training: Perils and Promise,"
August 1994 7th Annual Adult Literacy &
Technology Conference,
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,
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
March 1994 CMU computer science graduate course on speech processing (guest lecture)
March 1994 ARPA Workshop on Human Language
Technology,
February 1994
February 1994 CMU Human-Computer Interaction Seminar
November 1993 Harvard University Center for Research in
Computing Technology,
November 1993 CMU Robotics Institute Seminar
June 1993 Project Directors’ Meeting, NSF
Applications of Advanced Technology Program,