2. ITS 1992:
Montrél,
Canada
Claude Frasson, Gilles Gauthier, Gordon I. McCalla (Eds.):
Intelligent Tutoring Systems, Second International Conference, ITS '92, Montréal, Canada, June 10-12, 1992, Proceedings.
Lecture Notes in Computer Science 608 Springer 1992, ISBN 3-540-55606-0 
@proceedings{DBLP:conf/its/1992,
editor = {Claude Frasson and
Gilles Gauthier and
Gordon I. McCalla},
title = {Intelligent Tutoring Systems, Second International Conference,
ITS '92, Montr{\'e}al, Canada, June 10-12, 1992, Proceedings},
booktitle = {Intelligent Tutoring Systems},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {608},
year = {1992},
isbn = {3-540-55606-0},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Invited Papers
Learning Environments
- Anne Bergeron:
Assisted Mathematics: The Case of Discrete Probabilities.
40-49
- Shawkat Bhuiyan, Jim E. Greer, Gordon I. McCalla:
Learning Recursion Through the Use of a Mental Model-Based Programming Environment.
50-57
- Robert Chevallier:
STUDIA: Un Système Tutoriel Intelligent coopératif fondé sur la négociation et sur un modèle dynamique de dialogue.
58-65
- Claude Frasson, Marc Kaltenbach, Jan Gecsei, Jean-Yves Djamen:
An Iconic Intention-Driven IOTS Environment.
66-75
- Tsukasa Hirashima, Akihiro Kashihara, Jun'ichi Toyoda:
Providing Problem Explanation for ITS.
76-83
- Maya Kurup, Jim E. Greer, Gordon I. McCalla:
The Fawlty Article Tutor.
84-91
- Claude Lamontagne, Jacqueline Bourdeau:
Towards an Epistemology for Guided Discovery Tutoring: The Popperian Connection.
92-102
- Douglas C. Merrill, Brian J. Reiser, Ron Beekelaar, Adnan Hamid:
Making Process Visible: Scaffolding Learning with Reasoning-Congruent Representations.
103-110
- Joyce L. Moore:
Winch Simulation: Multiple, Linked Representations of Linear Functions.
111-115
- Julie-Ann Sime, Roy Leitch:
A Learning Environment Based on Multiple Qualitative Models.
116-123
- Akira Takeuchi, Setsuko Otsuki:
EXPITS: An Experimental Environment on ITS.
124-131
- Mao Yibin, Lin Jianxiang:
Intelligent Tutoring System for Symbolic Calculation.
132-139
Architectures for ITS
Knowledge Representation in ITS
Cognitive Models
Help and Advising Systems
Formal Models
Empirical Studies
Student Modeling
Teaching and Learning Strategies
Software Tools for Tutoring
Design Issues
Alternatives to One-on-one Tutoring
Real World Applications
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