(Revised April 30, 2008)

DAVID “JACK” MOSTOW

Director, Project LISTEN (www.cs.cmu.edu/~listen ), 4213 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

7/92 -                     Carnegie Mellon University School of Computer Science:  Research Professor (since 7/99), Robotics Institute, Language Technologies Institute, Human-Computer Interaction Institute, and Machine Learning Department

6/85 - 6/92            Rutgers University Computer Science Department:  Assistant Professor and Associate Member of the Graduate Faculty; Full Member of the Graduate Faculty from 4/90

7/89 - 8/89            IBM Tokyo Research Laboratory: Visiting Scientist

10/81 - 5/85          University of Southern California Information Sciences Institute: Research Computer Scientist

9/80 - 9/81            Stanford University Heuristic Programming Project: Research Associate

5/77 - 5/81            Rand Corporation Information Sciences Department: Consultant

Education

1974 – 1981         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 – 1974         A.B. cum laude, Applied Mathematics, Harvard University (National Merit Scholar)

[Note:  Items new since January 2007 are in boldface.]

Awards and Honors

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       AAAI-94 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 of the International Society for Artificial Intelligence in Education (IAIED)

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

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

2004       Workshops and Tutorials Chair, 7th Intelligent Tutoring Systems Conference, 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

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

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

 

2007       Senior Program Committee, Twentieth 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

Reviewing

ACM Computing Surveys

Artificial Intelligence

Artificial Intelligence and Education Conference

Automated Speech Recognition and Understanding Workshop

California Microelectronics Innovation and Computer Research Opportunities (MICRO) program

IEEE Computer

IEEE Computer Dictionary (reviewer of definitions in artificial intelligence)

IEEE Expert

IEEE Intelligent Systems

IEEE Transactions on Computers

International Joint Conferences on Artificial Intelligence (IJCAI)

International Journal of Artificial Intelligence in Education

Israel Academy of Sciences and Humanities Basic Research Foundation

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

STUDENTS

Graduate Degrees Supervised

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

2005       Cecily Heiner, Master’s in Computer-Assisted Language Learning [co-advised with Joseph Beck]

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

2002       Peng Jia, Computer-Aided Learning & Discovery Masters’ Project:  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.  Joined Research Institute for Advanced Computer Science at NASA Ames Research Center.  Distinguished Finalist for the Outstanding Dissertation of the Year Award. 47th Annual Convention of the International Reading Association, 2002. San Francisco, CA.

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

2005       Patrick Riley, Computer Science PhD:  Coaching: Learning and Using Environment and Agent Models for Advice [defended 2/1/2005]

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)

2008       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       Yvonne Kao, Psychology PhD student:  training spatial skills to help learn geometry [member of thesis committee]

2007       Nora Presson, Psychology PhD student:  L2 grammar learning [PIER member of research committee]

2007       Xiaonan Zhang, LTI master’s student:  mining educational data from a Reading Tutor that listens [co-advised with Joseph Beck]

2007       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

2003–05                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

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

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

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 At Rutgers University

1990–92                Fellow of Douglass College

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

1987–89                Computer Science Department Colloquium Coordinator

1987–91                Computer Science Department Elections Committee

1986–91                Computer Science Department Graduate Admissions Committee

Pittsburgh Savoyards productions of Gilbert & Sullivan operettas

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. 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., 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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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).
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. N. Bhatnagar and J. Mostow. On-line learning from search failures. Machine Learning 15(1):69-117, April, 1994.
  8. 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.
  9. 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.
  10. 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.
  11. M. Lam and J. Mostow. A transformational model of VLSI systolic design. IEEE Computer 18(2):42-52, February, 1985.
  12. 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.
  13. 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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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. 
  13. 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.
  14. 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. 
  15. 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. 
  16. 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.
  17. 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. 
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. Mostow, J. and Aist, G. Authoring new ma