(Revised October 19, 2011)
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
7/92 -
6/85 - 6/92
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
5/77 - 5/81 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 2010 are highlighted.]
Awards and Honors
2011- President of the International Artificial
Intelligence in Education Society
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, International Artificial
Intelligence in Education Society Executive Committee
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
2009 – Steering Committee, 2010 Question Generation
Shared Tasks
2008 – Advisory Board, Project STEAM, SRI
2007 – Advisory
Board, TechBridgeWorld (www.techbridgeworld.org)
2007-13 Executive
Committee, International Artificial Intelligence in Education Society (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
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
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
2011 Fourth Workshop on Question Generation (QG 2010), Arlington, VA (under review as a
AAAI Symposium)
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
2011 Fourth International Conference on
Educational Data Mining (EDM2011), Eindhoven, Netherlands
2011 Senior Program Committee, 15th
International Artificial Intelligence in Education Conference (AIED2011),
Christchurch, 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),
2005 AIED2005 Workshop on Student
Modeling for Language Tutors,
2005 AIED2005 Workshop on Usage
Analysis,
2005 AIED2005
Workshop on Educational Games as Intelligent Learning Environments,
2005 AAAI2005 Workshop on Educational Data Mining
2005 Second Workshop on Building
Educational Applications Using Natural Language Processing, ACL 2005,
2004 Seventh Intelligent Tutoring Systems
Conference (ITS2004), Maceió,
2004 ITS2004 Workshop on Social and Emotional
Intelligence in Learning Environments,
2003 Tenth International Conference on
Artificial Intelligence in Education (AIED2003),
2003 User Modeling 2003 Workshop on Modeling
User Affect and Attitudes,
1991 Twelfth International Joint Conference on
Artificial Intelligence (IJCAI91),
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),
Reviewing for Journals, Conferences, Books, Funding Agencies, and Universities
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
CMU LTI Student Research Symposium
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
Institute of Education
Sciences, United States Department of Education
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
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
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)
2011 Denise
Edwards, sophomore in Information Systems:
mapping Reading Tutor data into PSLC’s DataShop
2010 Matt
Wagner, Xueqiong Qu, Chu
Liu, and Siyu Shan, project in graduate course on speech
recognition: oral reading language model
improvements
2010 – Lucas Tan, senior project
in Computer Science: using an integrated
relational data and random walk technique to classify events in intelligent
tutors
2010 – Hyeju Jang, Master’s student in Language Technologies: automated discovery of semantic relations
2010 – Yanbo Xu, Master’s student in Language Technologies: using Dynamic Bayes
nets to model children’s oral reading fluency growth
2010 – Mdahaduzzaman
Munna, Master’s student in Language Technologies: adapting Pavlik’s
equations to model children’s oral reading fluency growth
2010 – Sunayana Sitaram, Master’s student in Language Technologies: automated assessment and visualization of children’s oral
reading prosody
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 – José P. González-Brenes, PhD student in Language
Technologies: detecting changes in tutorial
interaction patterns
2009–10 Morten Rasmussen, visiting PhD student
from Aalborg University, Denmark:
tracking children’s oral reading
2009 – Wei Chen, PhD student in
Language Technologies: generation of
questions for comprehension strategy instruction
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
1993–97 University Research Council
1993–95 Faculty Senate
Service and Committee Work elsewhere
2010 – 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)
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 Titanic
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.
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.
17.
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.
18.
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.
19.
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.
20.
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.
21.
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.
22.
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.
23.
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.
24.
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.
25.
N. Bhatnagar and J. Mostow. On-line learning from search
failures. Machine Learning 15(1):69-117, April, 1994.
26.
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.
27.
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.
28.
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.
29.
M. Lam and J.
Mostow. A transformational model of VLSI systolic design. IEEE Computer 18(2):42-52,
February, 1985.
30.
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.
Chen, W., Mostow, J., & Aist, G.
(2011, November 4-6). Using Automatic
Question Generation to Evaluate Questions Generated by Children. Paper
presented at the AAAI Symposium on Question Generation, Arlington, VA.
33.
González-Brenes, J., Duan, W., &
Mostow, J. (2011). How to Classify
Tutorial Dialogue? Comparing Feature
Vectors vs. Sequences. Paper presented at the Proceedings of the 4th
International Conference on Educational Data Mining Retrieved from http://educationaldatamining.org/EDM2011/
38.
Mostow, J., González-Brenes, J., &
Tan, B. H. (2011). Learning Classifiers
from a Relational Database of Tutor Logs. Paper presented at the
Proceedings of the 4th International Conference on Educational Data Mining
Retrieved from http://educationaldatamining.org/EDM2011/
40.
Mostow, J., Xu, Y., & Munna, M.
(2011). Desperately Seeking
Subscripts: Towards Automated Model
Parameterization. Paper presented at the Proceedings of the 4th
International Conference on Educational Data Mining. Retrieved from http://educationaldatamining.org/EDM2011/
45.
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.
46.
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.
47. 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.
48. 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.
49.
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.
50. 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.
51.
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.
52.
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.
53.
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.
54.
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.
55.
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.
56.
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.
57.
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.
58.
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.
59.
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.
60.
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. 3rd IEEE/ACM International
Conference on Information and Communication Technologies and Development
(ICTD2009), Carnegie Mellon, Doha, Qatar.
61.
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.
62.
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.
63.
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.
64.
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.
65.
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.
66.
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.
67. 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.
68. 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.
69. 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.
70. 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.
71. 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.
72. 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.
73.
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.
74.
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.
75.
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.
76.
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.
77.
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.
78.
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.
79.
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.
80.
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.
81.
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.
82.
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.
83.
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.
84.
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.
85.
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.
86.
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.
87.
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.
88.
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.
89.
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.
90.
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.
91.
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.
92.
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.
93.
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.
94.
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.
95.
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.
96.
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.
97.
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.
98.
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.
99.
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.
100.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.
101.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.
102.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.
103.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.
104.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.
105.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.
106.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.
107.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.
108.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.
109.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.
110.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.
111.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.
112.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.
113.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.
114.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.
115.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.
116.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.
117.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.
118.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.
119.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.
120.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.
121.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.
122.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.
123.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.
124.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.
125.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.
126.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.
127.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.
128.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.
129.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.
130.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.
131.J. Mostow. Exploiting DIOGENES’ representations for search algorithms:
propagating constraints. Proceedings of the IJCAI89 Workshop on Automated
Software Development, pages 187-200. August, 1989.
132.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.
133.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.
134.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.
135.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.
136.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.
137.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.
138.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.
139.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.
140.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.
141.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.
142.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.
143.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.
144.J. Mostow. Some requirements for effective replay of derivations. Proceedings
of the 3rd International Machine Learning Workshop, pages 129-132. Skytop, PA, June, 1985.
145.J. Mostow. Program transformations for VLSI. Proceedings of the
Eighth International Joint Conference on Artificial Intelligence (IJCAI83),
pages 40-43. Karlsruhe, Germany, 1983.
146.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.
147.J. Mostow. Operationalizing advice: a
problem-solving model. Proceedings of the Second International Machine
Learning Workshop, pages 110-116. University of Illinois, June, 1983.
148.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.
149.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.
150.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.
151.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.
152.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
153.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".
154.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".
155.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.
156.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.
157.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.
158.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/.
159.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.
160.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.
161.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.
162.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.
163.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.
164.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.
165.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.
166.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 Presentations (on Project LISTEN)
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,