Reading list for a graduate seminar on Intelligent Tutoring
Systems
Kurt VanLehn
Sept 4, 1999
Overview
- Wed Sept 1:
Shute, V. J., & Psotka, J. (1996). Intelligent tutoring systems:
Past, Present and Future. In D. Jonassen (Ed.), Handbook of Research
on Educational Communications and Technology : Scholastic Publications.
Effectiveness of tutors
- Wed Sept 8:
Kulik, J. A., Bangert, R. L., & Williams, G. W. (1983). Effects
of computer-based teaching on secondary school students. Journal of
Educational Psychology, 75, 19-26. [8 pgs.]
Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group
instruction as effective as one-to-one tutoring. Educational Researcher,
13, 4-16. [13 pgs.]
Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1995).
Intelligent tutoring goes to school in the big city. In J. Greer (Ed.),
Proceedings of the 7th World Conference on Artificial Intelligence and
Education (pp. 421-428). Charlottesville, NC: AACE. [8 pgs.]
Schofield, J. W. & Evans-Rhodes, D. (1989). Artifical intelligence
in the classroom. In D. Bierman, J. Greuker, & J. Sandberg (Eds.),
Artifical intelligence and edudation: Synthesis and relection (pp.
238-243). Springfiled, VA: IOS. [5 pgs].
Model-tracing coaches
- Mon Sept 13:
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier,
R. (1995). Cognitive Tutors: Lessons Learned. The Journal of the Learning
Sciences, 4(2), 167-207. [41 pgs.]
Anderson, J. R. & Pelletier, R. (1991). A development system for model-tracing
tutors (pp. 1-8). In L. Birnbaum (Ed.) The International Conferences
on the Learning Sciences: Proceeding of the 1991 Conference. Charlottesville,
VA: AACE. [8 pgs]
- Wed Sept 15:
Reiser, B. J., Kimberg, D. Y., Lovett, M.C. & Ranney, M. (1992). Knowledge
representation and explanation in GIL, an intelligent tutor for programming
(pp. 111-150). In J. H. Larkin & R. W. Chabay (Eds.). Computer-assisted
Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary
Approaches. Hillsdale, NJ: Erlbaum. [40 pgs.]
Gertner, A., Conati, C., & VanLehn, K. (1998). Procedural help in Andes:
Generating hints using a Bayesian network student model (pp. 106-111),
In Proceedings of the 15th national Conference on Artificial Intelligence,
Cambridge, MA: The MIT Press. [8 pgs.]
Issue-recognizing coaches
- Mon Sept 20:
Burton, R. R., & Brown, J. S. (1982). An investigation of computer
coaching for informal learning activities (pp. 79-98). In D. Sleeman and
J. S. Brown (Ed.), Intelligent Tutoring Systems. New York: Academic
Press. [20 pgs.]
Ritter, F. & Feurzeig, W. (1988). Teaching real-time tactical thinking
(pp. 285-301). In J. Psotka, L. D. Massey & S. A. Mutter (Eds.) Intelligent
Tutoring Systems: Lessons Learned. Hillsdale, NJ: Erlbaum. [17 pgs.]
Mitrovic, A. and Ohlsson, S. (1999). Evaluation of a constraint-based tutor
for a database language, International Journal of Artificial Intelligence
and Ed, 10, in press, [21 pgs.]
Other coaches
- Wed Sept. 22:
Clancey, W. J. (1979). Dialogue management for rule-based tutorials.
In B. Buchan (Ed.) Proceedings of the Sixth International Conference on
Artificial Intelligence (pp. 155-161). Menlo Park, CA: AAAI Press. [7 pgs]
Clancy, W. J. (1990). Knowledge-Based Tutoring: The Guidon Project.
Cambridge, MA: MIT Press. Read chapter 4 only. [pp. 51-94; 44 pgs]
- Mon Sept 27:
Katz, S., Lesgold, A., Hughes, E., Peters, D., Eggan, G., Gordin, M.,
& Greenberg, L. (1998). Sherlock 2: An intelligent tutoring system
built on the LRDC framework (pp. 227-258). In C. P. Bloom & R. B. Loftin
(Eds.), Facilitating the development and use of interactive learning
environments. Mahwah, NJ: Erlbaum. [32 pgs]
Katz, S., Lesgold, A, Eggan;, G & Gordin, M. (1992). Modelling the
student in Sherlock II. International Journal of Artificial Intelligence
in Education, 3(4), 495-518. [24 pgs]
Questioners
- Wed Sept 29:
Collins, A., & Stevens, A. (1982). Goals and strategies for inquiry
teachers (pp. 65-119). In R. Glaser (Ed.), Advances in Instructional
Psychology, Vol. 2 . Hillsdale, NJ: Lawrence Erlbaum Associates. [55
pgs, of which 11 pages are an appendix]
Wong, L.H., Quek, C. & Looi, C.K. (1998). TAP-2: A framework for an
inquiry dialog based tutoring system. International Journal of Artificial
Intelligence in Education, 9, 88-110. [23 pgs]
- Mon Oct 4:
Freedman, R., Brandle, S., Glass, M., Kim, J. H., Zhou, Y. & Evens,
M. (1998). Content planning as the basis for an intelligent tutoring system.
In Proceedings of the Ninth International Workshop on Natural Language
Generation (INLG-9), Niagara on the Lake, CA, demo sessions. [4 pgs]
Freedman, R. & Evens, M. W. (1996). Generating and revising hierarchical
multi-turn text plans in an ITS (pp. 632-640). In C. Frasson, G. Gauthier
& A. Lesgold (Eds.) Intelligent tutoring systems: Third International
Conference (ITS/96), Berlin: Springer-Verlag. [9 pgs]
Graesser, A. C., Wiemer-Hastings, P., Wiemer-Hastings, K., Harter, D.,
Person, N. & the Tutoring Research Group (in press). Using latent semantic
analysis to evaluate the contributions of students in AutoTutor. Interactive
Learning Environments. [31 pgs]
Human tutors
- Wed Oct 6:
McArthur, D., Stasz, C., & Zmuidzinas, M. (1990). Tutoring techniques
in algebra. Cognition and Instruction, 7(3), 197-244.[28 pgs]
Merrill, D. C., Reiser, B. J., Ranney, M., & Trafton, J. G. (1992).
Effective tutoring techniques: A comparison of human tutors and intelligent
tutoring systems. The Journal of the Learning Sciences, 2(3), 277-306.
[30 pgs]
- Mon Oct 11:
Chi, M.T.H., Siler, S., Jeong, H., Yamauchi, T. & Hausmann, R. G. (in
press). Learning from tutoring: A student-centered versus a tutor-centered
approach. Cognitive Science.
Graesser, A. C., Person, N. K. & Magliano, J. P. (1995). Collaborative
dialogue paterns in naturalistic one-to-one tutoring. Applied Cognitive
Psychology, 9, 495-522. [27 pgs]
Feedback
- Wed Oct 13:
Kulik, J. A., & Kulik, C.-L. C. (1988). Timing of feedback and verbal
learning. Review of Educational Research, 58, 79-97. [19 pgs]
McKendree, J. (1990). Effective feedback content for tutoring complex skills.
Human-Computer Interaction, 5, 381-413. [33 pgs]
- Mon Oct 18:
Mark, M. A., & Greer, J. E. (1995). The VCR tutor: Effective instruction
for device operation. The Journal of the Learning Sciences, 4(2),
209-246. [37 pgs]
Schooler, L. J. & Anderson, J.R. (1990). The disruptive potential of
immediate feedback (pp. 702-708). In M. Piattelli-Palmarini (Ed.) The
Twelfth Annual Conference of the Cognitive Science Society. Hillsdale,
NJ: Erlbaum.
McKendree, J., Radlinski, B., & Atwood, M.E. (1992). The Grace tutor:
A qualified success. in C. Frasson, G. Gauthier & G. I. McCalla (Eds.),
Intelligent Tutoring Systems: Second international conference, ITS’92 proceedings
(pp. 677-684) Berlin: Springer-Verlag. [8 pgs]
Reification and affordances
- Wed Oct 20:
Collins, A., & Brown, J. S. (1990). The computer as a tool for learning
through reflection (pp. 1-18). In H. Mandl & A. Lesgold (Eds.), Learning
Issues for Intelligent Tutoring Systems . New York: Springer. [19 pgs.]
Singley, M. K. (1990). The reification of goal structures in a calculus
tutor: Effects on problem solving performance. Interactive Learning
Environments, 1, 102-123. [22 pgs]
- Mon Oct 25:
Burton, R. R. (1988). The environment module of intelligent tutoring
systems (pp. 109-142). In M. C. Polson & J. J. Richardson (Eds.) Foundations
of Intelligent Tutoring Systems, Hillsdale, NJ: Erlbaum. [34 pgs]
Merrill, D. C., & Reiser, B. J. (1994). Scaffolding effective problem
solving strategies in interactive learning environments. In A. Ram &
K. Eiselt (Eds.), Proceedings of the Sixteenth Annual Conference of
the Cognitive Science Society (pp. 629-634). Hillsdale, NJ: Erlbaum.
[5 pgs.]
Cheng, P. C.-H. (1998). Some reasons why learning science is hard: Can
computer-based law encoding diagrams make it easier? In B. P. Goettl, H.
M. Halff, C. L. Redfield, & V. J. Shute (Eds.), Intelligent Tutoring
Systems: Proceedings of the Fourth International Conference (pp. 96-105).
Berlin: Springer. [10 pgs.]
Building the expert module
- Wed Oct 27:
Clancey, W. J. (1986). From Guidon to Neomycin and Heracles in twenty short
lessons. AI Magazine, 7(3), 40-60. [20 pgs]
Koedinger, K., & Anderson, J. R. (1993). Reifying implicit planning
in geometry: Guidelines for model-based intelligent tutoring system design
(pp. 15-46). In S. P. Lajoie & S. J. Derry (Eds.), Computers as
cognitive tools . Hillsdale, NJ: Erlbaum. [32 pgs.]
- Wed Nov 3:
Anderson, J.R. (1988). The expert module (pp. 21-54). In M. C. Polson &
J. J. Richardson (Eds.) Foundations of Intelligent Tutoring Systems,
Hillsdale, NJ: Erlbaum. [34 pgs]
Gott, S. P. & Lesgold, A. M. (in press). Competence in the workplace:
How cognitive performance models and situated instruction can accelerate
skill acquisition. In R. Glaser (Ed.) Advances in Instructional Psychogy.
[Read only to page 31]
Bugs
- Mon Nov 8:
Brown, J. S., & Burton, R. (1978). Diagnostic models for procedural
bugs in basic mathematical skills. Cognitive Science, 2, 155-192.
[38 pgs.]
Sleeman, D., Hirsh, H., Ellery, I. & Kim, I-Y. (1990). Extending domain
theories: Two case studies in student modeling. Machine Learning,
5(1), 11-38. [27 pgs.]
- Wed Nov 10:
Sack, W. & Soloway, E. (1992). From PROUST to CHIRON: Intelligent
Tutoring System Design as Iterative Engineering Intermediate Results are
Important! (pp. 239-277), In Computer Assisted Instruction and Intelligent
Tutoring Systems: Shared Issues and Complementary Approaches. In J.H.
Larkin & R. W. Chabay (Eds.) Hillsdale, NJ: Erlbaum. [39 pgs.]
Sleeman, D., Kelly, A. E., Martinak, R., Ward, R. D., & Moore, J. L.
(1989). Studies of diagnosis and remediation with high school algebra students.
Cognitive Science, 13, 551-568. [18 pgs.]
Student modeling
- Mon Nov 15:
Hill, R.W. & Johnson, W. L. (1995). Situated plan attribution.
Journal of Artificial Intelligence in Education, 6(1), 35-66. [32
pgs]
VanLehn, K., & Niu, Z. (1999). Bayesian student modeling, user interfaces
and feedback: A sensitivity analysis. submitted. [29 pgs]
- Wed Nov17:
Jamison, A. (1995). Numerical uncertainty management in user and student
modeling: An overview of systems and issues. User Modeling and user-Adapted
Interaction, 5, pages unknown. [48 pgs]
Motivation
- Mon Nov 22:
Lepper, M. R., Aspinwall, L. G., Mumme, D. L. & Chabay, R. W. (1990).
Self-perception and social-perception processes in tutoring: Subtle social
control strategies of expert tutors (pp. 217-237). In j. M. Olson &
M. P. Zanna (Eds.), Self-Inference Processes: The Ontario Symposium,
Volume 6. Hillsdale, NJ: Erlbaum. [21 pgs]
Reiser, B. J., Copen, W. A., Ranney, M., Hamid, A., & Kimberg, D. Y.
(in press). Cognitive and motivational consequences of tutoring and discovery
learning. Cognition and Instruction. [62 pgs]
- Mon Nov 29:
Lester, J. C., Stone, B. A., Stelling, G. D. (1999). Lifelike pedagogical
agents for mixed-initiative problem solving in constructivist learning
environments. User Modeling and User-adapted Interfaces, 9(1-2)
pp. 1-44 [45 pgs].
Lester, J.C., Towns, S.G. and Fitzgerald, P.J. (1999). Achieving affective
impact: visual emotive communication in lifelike pedagogical agents, Journal
of Artificial Intelligence in Education, 10, in press. [17 pgs]
Aptitude-treatment interaction
- Wed Dec 1:
Shute, V.J. (1992). Aptitude-treatment interactions and cognitive skill
diagnosis (pp. 15-48). In J. W. Regian & V. J. Shute (Eds.) Cognitive
Approaches to Automated Instruction. Hillsdale, NJ: Erlbaum. [33 pgs]
Shute, V. J. & Glaser, R. (1990). a large-scale evaluation of an intelligent
discovery world: Smithtown. Interactive Learning Environments, 1,
51-77. [ 26 pgs]
Case-based tutoring
- Mon Dec 6:
Schank, R. C., Berman, T. R., & Macpherson, K. A. (1999). Learning
by doing (pp. 161-181). In C. M. Reigeluth (Ed.) Instructional-Design
Theories and Models: A New Paradigm of Instructional Theory. Hillsdale,
NJ: Erlbaum. [20 pgs]
Aleven, V., & Ashley, K. D. (1997). Teaching case-based argumentation
through a model and examples: Empirical evalution of an intelligent learning
environment (pp 87-94). Paper presented at the Artificial Intelligence
in Education, Kobe, japan. [8 pgs]
<to be announced>
Shells, Architectures, Instructional planners, etc.
(tentative)
- Wed Dec 8, 13, 15 Some of these class meetings will be devoted
to students presenting their final projects. The remainder will be selected
from the readings below, or others that may be suggested during class.
Bell, B. (1998). Investigate and decide learning environments: Specializing
task models for authoring tool design. Journal of the Learning Sciences,
7(1), 65-107. [43 pgs]
Brusilovsky, P., Schwarz, E., & Weber, G. (1996). ELM-ART: An intelligent
tutoring system on the World Wide Web. In C. Frasson, G. Gauthier, &
A. Lesgold (Eds.), Proceedings of the Third International Conference
on Intelligent Tutoring Systems, ITS-96 . Berlin: Springer.
Peachy, D. R., & McCalla, G. I. (1986). Using planning techniques in
intelligent tutoring systems. International Journal of Man-Machine Studies,
24, 77-98. [23 pgs]
Murray, T. (1999). Authoring Intelligent Tutoring Systems: An analysis
of the state of the art. Int. J. of AI and Education.
Murray, T. & Woolf, B. (1992). Results of Encoding Knowledge with Tutor
Construction Tools. In the Proc. of the Tenth National Conference on
Artificial Intelligence (AAAI-92). San Jose, July 1992, pp. 17-23.
Bonarini, A., & Filippi, V. (1993). Designing a tool supporting the
development of ITS in different domains: The Docet Experience. Interactive
Learning Environments, 3, 131-149.
Munro, A., Johnson, M., Pizzini, Q., Surmon, D., Towne, D. and Wogulis,
J. (1997). Authoring simulation-centered tutors with RIDES, International
Journal of Artificial Intelligence in Education, 8, 284-316
Alpert, S. R., Singley, M.K. & Fairweather, P.G. (1999). Deploying
intelligent tutors on the web: An architecture and an example. International
Journal of Artificial Intelligence in Education, 10, 183-197.
Forbus, K. D., Everett, J. O., Ureel, L., Brokowski, M., Baher, J., &
Kuehne, S. E. (1998). Distributed coaching for an intelligent learning
environment, proceedings of QR98 . Cape Cod.