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ORCID2. ITS 1992: Montrél, Canada
- Claude Frasson, Gilles Gauthier, Gordon I. McCalla:
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
Invited Papers
- John R. Anderson:
Intelligent Tutoring and High School Mathematics. 1-10 - Joost Breuker:
Generality Watching: ITS Caught between Science and Engineering. 11-20 - William J. Clancey:
Guidon-Manage Revisited: A Socio-Technical Systems Approach. 21-36 - Benedict du Boulay:
Programming Environments for Novices. 37 - Jim E. Greer:
Granularity and Context in Learning. 38 - Alan M. Lesgold:
Going form Intelligent Tutors to Tools for Learning. 39
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
- Tak-Wai Chan:
Curriculum Tree: A Knowledge-Based Architecture for Intelligent Tutoring Systems. 140-147 - Christophe Choquet, Thierry Mengelle, Guy Gouardères, Bernard Malsallez:
L'assistance à l'Usager dans DIGITEF: un Mécanisme Réutilisable. 148-155 - Eugène Chouraqui, C. Inghilterra:
Résolution par Analogie de Problèmes Géométriques dans une Perspective Tutorielle. 156-163 - Rose W. Chu, Christine M. Mitchell:
A Pedagogical Design and Architecture for Intelligent Tutoring and Aiding in Supervisory Control of Complex Systems. 164-171 - Jean Girard, Gilles Gauthier, Sylvie Levesque:
Une architecture multiagent. 172-182 - Christian Herzog:
From Elementary Knowledge Schemes Towards Heuristic Expertise - Designing an ITS in the Field of Parallel Programming. 183-190 - Daniel D. Suthers:
Answering Student Queries: Functionality and Mechanisms. 191-198 - Kwok-Keung Yum, Thomas J. Richards:
Instruction as Reasoning About Multiple Objectives. 199-208
Knowledge Representation in ITS
- E. Gavignet, Monique Grandbastien:
Représentation des connaissances dans un générateur de systèmes d'E.I.A.O. 209-216 - Ramzan Khuwaja, Martha W. Evens, Allen A. Rovick, Joel A. Michael:
Knowledge Representation for an Intelligent Tutoring System Based on a Multilevel Causal Model. 217-224 - Warren Sack:
Knowledge Base Compilation and the Language Design Game. 225-233 - Kris Van Marcke:
Instructional Expertise. 234-243
Cognitive Models
- Taizan Chan, Yam San Chee, Eng Lian Lim:
COGNITO: An Extended Computational Theory of Cognition. 244-251 - Marie-Paule Daniel, Lydia Nicaud, Violaine Prince, Marie-Paule Péry-Woodley:
Apport du Style Linguistique à la Modélisation Cognitive d'un Elève. 252-259 - Lila Ghemri:
A Cognitive Framework for Second Language Error Diagnosis. 260-268 - Mark Kuzmycz, Geoffrey I. Webb:
Evaluation of Feature Based Modelling in Subtraction. 269-276 - André Mayers, Bernard Lefebvre:
Une modélisation de l'architecture cognitive d'un étudiant pour un système tutoriel intelligent. 277-285 - Baruch B. Schwarz, Amy S. Kohn, Lauren B. Resnick:
Bootstrapping Mental Constructions: A Learing System about Negative Numbers. 286-293
Help and Advising Systems
- Claus Möbus, Knut Pitschke, Olaf Schröder:
Towards the Theory-Guided Design of Help Systems for Programming and Modelling Tasks. 294-301 - Colin Tattersall:
A New Architecture for Intelligent Help Systems. 302-316 - Huaiqing Wang, André Kushniruk:
The UNIX Tutor. 317-324
Formal Models
- Richard Allen, Cyrille Desmoulins, Laurent Trilling:
Tuteurs Intelligents et Intelligence Artificielle: problèmes posés en construction de figures géométriques. 325-334 - Monique Baron, Pasquale Simonnet:
Génération d'exercices en algèbre, premières approches dans le cadre du projet APLUSIX. 335-342 - Timothy S. Gegg-Harrison:
ADAPT: Automated Debugging in an Adaptive Prolog Tutor. 343-350 - Jean-François Nicaud:
Reference Network: A Genetic Model for Intelligent Tutoring Systems. 351-359
Empirical Studies
- Gregory Lessard, Michael Levison, Eugene Girard, Daniel Maher:
Form Frequency, Markedness and Strategies in Second Language Performance Modelling. 360-371 - Rachel Or-Bach, Ehud Bar-On:
Why Should an ITS Bother with Students' Explanations? 372-381 - Margaret M. Recker, Peter Pirolli:
Student Strategies for Learning Programming from a Computational Environment. 382-394 - Yang Wang, Roberto Garigliano:
An Intelligent Language Tutoring System for Handling Errors Caused by Transfer. 395-404
Student Modeling
- Paul Brna, Andrew Caiger:
The Application of Cognitive Diagnosis to the Quantitative Analysis of Simple Electrical Circuits. 405-412 - Albert T. Corbett, John R. Anderson:
Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor. 413-420 - Pierre Dion, Ruddy Lelouche:
Application de la méthodologie du traçage de modèle à un environnement d'apprentissage utilisant une stratégie pédagogique non directive. 421-434 - Claude Frasson, D. Ramazani:
Prédiction du Niveau d'Acquisition des Connaissances dans la Modélisation de l'Étudiant. 435-442 - Xueming Huang, Gordon I. McCalla:
Instructional Planning Using Focus of Attention. 443-450 - Yasuyuki Kono, Mitsuru Ikeda, Riichiro Mizoguchi:
To Contradict is Human - Student Modeling of Inconsistency. 451-458 - Pierre Marcenac:
Mise en oeuvre d'un modèle de l'apprenant générique dans le système EDDI. 459-466 - Noboru Matsuda, Toshio Okamoto:
Student Model Diagnosis for Adaptive Instruction in ITS. 467-474 - Patrick Néhémie:
A Systemic Approach for Student Modelling in a Multi-Agent Aided Learning Environment. 475-482 - Malika Talbi, Michelle Joab:
Diagnostic cognitif de l'apprenant par apprentissage symbolique. 483-490 - Michael Villano:
Probabilistic Student Models: Bayesian Belief Networks and Knowledge Space Theory. 491-498
Teaching and Learning Strategies
- Peter Brusilovsky:
A Framework for Intelligent Knowledge Sequencing and Task Sequencing. 499-506 - Carl Gutwin, Gordon I. McCalla:
The Use of Pedagogic Misrepresentation in Tutorial Dialogue. 507-514 - Jean-Marc Labat, Michel Futtersack, Martial Vivet:
Planification Pédagogique: de l'Expertise Humaine à sa Modélisation dans un STI. 515-522 - Nigel Major, Han Reichgelt:
COCA: A Shell for Intelligent Tutoring Systems. 523-530 - Permanand Mohan, Jim E. Greer, Marlene Jones:
Enhancing the Instructional Capabilities of Intelligent Tutoring Systems. 531-538 - Peter Pirolli, Mark Wilson:
Measuring Learning Strategies and Understanding: A Research Framework. 539-558 - Marc M. Sebrechts:
From Testing to Training: Evaluating Automated Diagnosis in Statistics and Algebra. 559-566 - Teresa Del Soldato:
Detecting and Reacting to the Learner's Motivational State. 567-574
Software Tools for Tutoring
- Vincent Aleven, Kevin D. Ashley:
Automated Generation of Examples for a Tutorial in Case-Based Argumentation. 475-584 - K. S. R. Anjaneyulu, John R. Anderson:
The Advantages of Data Flow Diagrams for Beginning Programming. 585-592 - Tom Murray, Beverly Park Woolf:
Tools for Teacher Participation in ITS Design. 593-600 - Karen Valley:
Explanation in Expert System Shells: A Tool for Exploration and Learning. 601-614
Design Issues
- Benjamin Bell, Richard G. Feifer:
Intelligent Tutoring with Dumb Software. 615-624 - Eric Gutstein:
Using Expert Tutor Knowledge to Design a Self-Improving Intelligent Tutoring System. 625-632 - Radboud Winkels, Joost Breuker:
Modelling Expertise for Educational Purposes. 633-641
Alternatives to One-on-one Tutoring
- Tak-Wai Chan, I-Ling Chung, Rong-Guey Ho, Wen-Juan Hou, Ging-Long Lin:
Distributed Learning Companion System: WEST Revisited. 643-650 - Pierre Dillenbourg, John A. Self:
People Power: A Human-Computer Collaborative Learning System. 651-660
Real World Applications
- Arantza Díaz de Ilarraza Sánchez, Jon A. Elorriaga, Isabel Fernández-Castro, Julián Gutiérrez Serrano, José Ángel Vadillo Zorita:
User Modeling and Architecture in Industrial ITSs. 661-668 - Arthur A. Eggert, Catherine H. Middlecamp, Anthony T. Jacob:
CHEMPROF: "The Chemical Literacy Problem". 669-676 - Jean McKendree, Bob Radlinski, Michael E. Atwood:
The Grace Tutor: A Qualified Success. 677-684
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