The LISP tutor, Byte, vol.10, pp.159-175, 1985. ,
Cognitive modeling and intelligent tutoring, Artificial Intelligence, vol.42, issue.1, pp.7-49, 1990. ,
DOI : 10.1016/0004-3702(90)90093-F
The Architecture of Cognition, 1983. ,
URL : https://hal.archives-ouvertes.fr/hal-00699788
A theory of the origins of human knowledge, Artificial Intelligence, vol.40, issue.1-3, pp.313-351, 1989. ,
DOI : 10.1016/0004-3702(89)90052-0
Rules of the Mind, 1993. ,
Symbolic revision of theories with m-of-n rules, Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, 1993. ,
Refinement-based student modeling and automated bug library construction, Journal of Artificial Intelligence in Education, vol.7, issue.1, pp.75-116, 1996. ,
Student Models, Scratch-Pads, and Simulation, New Directions for Intelligent Tutoring Systems, 1992. ,
DOI : 10.1007/978-3-642-77681-6_9
Classifier systems and genetic algorithms, Artificial Intelligence, vol.40, issue.1-3, pp.235-282, 1989. ,
DOI : 10.1016/0004-3702(89)90050-7
Classification and Regression Trees, 1984. ,
An investigation of computer coaching for informal learning activities, International Journal of Man-Machine Studies, vol.11, pp.5-24, 1979. ,
Repair Theory: A Generative Theory of Bugs in Procedural Skills, Cognitive Science, vol.2, issue.4, pp.379-426, 1980. ,
DOI : 10.1207/s15516709cog0404_3
Pedagogical, natural language, and knowledge engineering in SOPHIE I, II, and III, Intelligent Tutoring Systems, 1982. ,
Diagnostic models for procedural bugs in basic mathematical skills, Cognitive Science, vol.2, pp.155-191, 1978. ,
Diagnosing bugs in a simple procedural skill, Intelligent Tutoring Systems, 1982. ,
AI in CAI: An Artificial-Intelligence Approach to Computer-Assisted Instruction, IEEE Transactions on Man Machine Systems, vol.11, issue.4, pp.190-202, 1970. ,
DOI : 10.1109/TMMS.1970.299942
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition, Machine Learning: An Artificial Intelligence Approach, Volume II, 1986. ,
Overlays: A theory of modeling for computer-aided instruction. AI Lab Memo 406, Massachusetts Institute of Technology, 1977. ,
Input generalization in delayed reinforcement learning: An algorithm and performance comparison, Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, 1991. ,
AutoClass: A Bayesian Classification System, Proceedings of the Fifth International Workshop on Machine Learning, 1988. ,
DOI : 10.1016/B978-0-934613-64-4.50011-6
Tutoring rules for guiding a case method dialog, Intelligent Tutoring Systems, 1982. ,
Qualitative Student Models, Annual Review of Computer Science, vol.1, issue.1, pp.381-450, 1986. ,
DOI : 10.1146/annurev.cs.01.060186.002121
URL : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA186916
The significance of learners' errors, International Review of Applied Linguistics, vol.5, pp.161-170, 1967. ,
A resolution-based method for discovering students' misconceptions, Artificial Intelligence and Human Learning, 1988. ,
An assumption-based TMS, Artificial Intelligence, vol.28, issue.2, pp.127-162, 1986. ,
DOI : 10.1016/0004-3702(86)90080-9
Explanation-based learning: An alternative view, Machine Learning, pp.145-176, 1986. ,
DOI : 10.1007/BF00114116
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.4855
Learning at the knowledge level, Machine Learning, pp.287-316, 1986. ,
DOI : 10.1007/BF00116894
My hairiest bug war stories, Communications of the ACM, vol.40, issue.4, pp.30-37, 1997. ,
DOI : 10.1145/248448.248456
Learning and executing generalized robot plans, Artificial Intelligence, vol.3, pp.251-288, 1972. ,
DOI : 10.1016/0004-3702(72)90051-3
Knowledge acquisition via incremental conceptual clustering, Machine Learning, pp.139-172, 1987. ,
DOI : 10.1007/BF00114265
URL : http://axon.cs.byu.edu/~martinez/classes/678/Papers/Fisher_Cobweb.pdf
The Conditions of Learning, 1985. ,
Models of incremental concept formation, Artificial Intelligence, vol.40, issue.1-3, pp.11-61, 1989. ,
DOI : 10.1016/0004-3702(89)90046-5
The mechanisms of analogical learning, Similarity and Analogical Reasoning, 1989. ,
DOI : 10.1017/CBO9780511529863.011
Truth maintenance techniques for modeling student's behavior, Journal of Artificial Intelligence in Education, vol.6, pp.153-202, 1995. ,
KNOWLEDGE BASE REFINEMENT AND THEORY REVISION, Proceedings of the Sixth International Workshop on Machine Learning, 1989. ,
DOI : 10.1016/B978-1-55860-036-2.50074-6
The genetic graph: a representation for the evolution of procedural knowledge, Intelligent Tutoring Systems, 1982. ,
DOI : 10.1016/S0020-7373(79)80005-X
Inside Case-based Reasoning, 1989. ,
Connectionist learning procedures, Artificial Intelligence, vol.40, issue.1-3, pp.185-234, 1989. ,
DOI : 10.1016/0004-3702(89)90049-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.5594
Deductive error diagnosis and inductive error generalization for intelligent tutoring systems, Journal of Artificial Intelligence in Education, vol.5, pp.27-49, 1994. ,
Revising deductive knowledge and stereotypical knowledge in a student model, User Modeling and User-adapted Interaction, vol.23, issue.1, pp.87-115, 1991. ,
DOI : 10.1007/BF00158953
Student model description language SMDL and student model inference system SMIS, Transactions of the IEICE, J72-D-II, pp.112-120, 1989. ,
Intention-based diagnosis of program errors, Proceedings of the Second National Conference on Artificial Intelligence, 1984. ,
Understanding and debugging novice programs, Artificial Intelligence, vol.42, issue.1, pp.51-97, 1990. ,
DOI : 10.1016/0004-3702(90)90094-G
Just so stories, Proceedings of the SIGCUE/SIGCAS Symposium on Computer Literacy, 1983. ,
DOI : 10.1145/1045083.1045086
Learning Representative Exemplars of Concepts: An Initial Case Study, Proceedings of the Fourth International Workshop in Machine Learning, 1987. ,
DOI : 10.1016/B978-0-934613-41-5.50006-4
Self-organized formation of topologically correct feature maps, Biological Cybernetics, vol.13, issue.1, pp.59-69, 1982. ,
DOI : 10.1007/BF00337288
THEMIS: A nonmonotonic inductive student modeling system, Journal of Artificial Intelligence in Education, vol.5, issue.3, pp.371-413, 1994. ,
Chunking in Soar: The anatomy of a general learning mechanism, Machine Learning, pp.11-46, 1986. ,
DOI : 10.1007/BF00116249
SOAR: An architecture for general intelligence, Artificial Intelligence, vol.33, issue.1, pp.1-64, 1987. ,
DOI : 10.1016/0004-3702(87)90050-6
Automated cognitive modeling, Proceedings of the Second National Conference on Artificial Intelligence, 1984. ,
Data-driven approaches to empirical discovery, Machine Learning, pp.283-312, 1989. ,
DOI : 10.1016/0004-3702(89)90051-9
Rules and principles in cognitive diagnosis, Diagnostic Monitoring of Skill and Knowledge Acquisition, 1987. ,
An analysis of Bayesian classifers, Proceedings of the Tenth National Conference on Artificial Intelligence, 1992. ,
Elements of Machine Learning, 1996. ,
Experiments with incremental concept formation: UNIMEM, Machine Learning, pp.103-138, 1987. ,
DOI : 10.1007/BF00114264
OLAE: progress toward a multi-activity, Bayesian student modeler, Proceedings of the International Conference on Artificial Intelligence in Education '93, 1993. ,
The central importance of student modeling to intelligent tutoring, New Directions for Intelligent Tutoring Systems, 1992. ,
Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.5, issue.4, pp.396-410, 1983. ,
DOI : 10.1109/TPAMI.1983.4767409
Learning from observation: Conceptual clustering, Machine Learning: An Artificial Intelligence Approach, 1983. ,
A theory and methodology of inductive learning, Machine Learning: An Artificial Intelligence Approach, 1983. ,
Explanation-based generalization: A unifying view, Machine Learning, pp.47-80, 1986. ,
Version spaces: A candidate elimination approach to rule learning, Proceedings of the Fifth International Joint Conference on Artificial Intelligence, 1977. ,
The need for biases in learning generalizations, 1980. ,
Learning and problem solving, Proceedings of the Eighth International Joint Conference on Artificial Intelligence, 1983. ,
Machine Learning, 1997. ,
An endorsement-based approach to student modeling for planner-controlled tutors, Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, 1991. ,
Connectionist learning of belief networks, Artificial Intelligence, vol.56, issue.1, pp.71-113, 1991. ,
DOI : 10.1016/0004-3702(92)90065-6
Human Problem Solving, 1972. ,
Reasoning, problem solving, and decision processes: The problem space hypothesis Attention and Performance, 1980. ,
The knowledge level, Artificial Intelligence, vol.18, issue.1, pp.1-20, 1981. ,
DOI : 10.1016/0004-3702(82)90012-1
Unified Theories of Cognition, 1989. ,
Diagnosis can help in intelligent tutoring, Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, 1992. ,
Psychological evaluation of path hypotheses in cognitive diagnosis Learning Issues for Intelligent Tutoring Systems, 1988. ,
System hacking meets learning theory (Viewpoint column), Journal of Artificial Intelligence in Education, vol.2, issue.3, pp.5-18, 1991. ,
Algebra Mal-Rules and Cognitive Accounts of Error, Cognitive Science, vol.5, issue.3, pp.445-481, 1990. ,
DOI : 10.1207/s15516709cog1403_4
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, 1988. ,
Induction of decision trees, Machine Learning, pp.81-106, 1986. ,
DOI : 10.1007/BF00116251
Learning logical definitions from relations, Machine Learning, pp.239-266, 1990. ,
DOI : 10.1007/BF00117105
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.122.3371
Genetic plans and the probabilistic learning system: Synthesis and results, Proceedings of the First International Conference on Genetic Algorithms and their Applications, 1985. ,
A belief net backbone for student modeling, Proceedings of the International Conference on Intelligent Tutoring Systems '96, 1996. ,
Automated refinement of first-order horn-clause domain theories, Machine Learning, vol.13, issue.2, pp.95-131, 1995. ,
DOI : 10.1007/BF01007461
A Machine-Oriented Logic Based on the Resolution Principle, Journal of the ACM, vol.12, issue.1, pp.23-41, 1965. ,
DOI : 10.1145/321250.321253
The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958. ,
DOI : 10.1037/h0042519
Feature Discovery by Competitive Learning*, Cognitive Science, vol.14, issue.1, pp.75-112, 1985. ,
DOI : 10.1207/s15516709cog0901_5
Learning Internal Representations by Error Propagation, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 1986. ,
DOI : 10.1016/B978-1-4832-1446-7.50035-2
Incremental learning from noisy data, Machine Learning, pp.317-354, 1986. ,
DOI : 10.1007/BF00116895
Bypassing the intractable problem of student modeling Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education, 1990. ,
Formal approaches to student modeling Student Models: The Key to Individualized Educational Systems, 1994. ,
Algorithmic Program Debugging, 1983. ,
Readings in Machine Learning, 1990. ,
Using data and theory in multistrategy (mis)concept(ion) discovery, Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997. ,
Detecting errors in novice programs via unsupervised multistrategy learning, Proceedings of the Fourth International Workshop on Multistrategy Learning, 1998. ,
Discovering error classes from discrepancies in novice behaviors via multistrategy conceptual clustering, User Modeling and User-Adapted Interaction, vol.8, issue.1/2, pp.103-129, 1998. ,
DOI : 10.1023/A:1008225015395
Incremental multistrategy relational conceptual clustering and ordering effects, Journal of the Japanese Society for Artificial Intelligence, vol.14, issue.1, 1999. ,
Studies of Diagnosis and Remediation with High School Algebra Students, Cognitive Science, vol.24, issue.4, pp.551-568, 1989. ,
DOI : 10.1207/s15516709cog1304_3
Extending domain theories: Two case studies in student modeling, Machine Learning, pp.11-37, 1990. ,
DOI : 10.1007/BF00115893
Assessing aspects of competence in basic algebra, Intelligent Tutoring Systems, 1982. ,
Inferring student models for intelligent computer-aided instruction, Machine Learning: An Artificial Intelligence Approach, 1983. ,
DOI : 10.1007/978-3-662-12405-5_16
PIXIE: A shell for developing intelligent tutoring systems Artificial Intelligence in Education, 1987. ,
Human procedural skill acquisition: Theory, model and psychological validation, Proceedings of the National Conference on Artificial Intelligence, 1983. ,
Learning one procedure per lesson, Machine Learning, pp.1-40, 1987. ,
Probabilistic student models: Bayesian Belief Networks and Knowledge Space Theory, Proceedings of the International Conference on Intelligent Tutoring Systems '9 2, 1992. ,
DOI : 10.1007/3-540-55606-0_58
Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competencies, User Modelling and User-Adapted Interaction, vol.5, issue.2, pp.117-150, 1996. ,
DOI : 10.1007/BF01099758
Artificial Intelligence and Tutoring Systems, 1987. ,
URL : https://hal.archives-ouvertes.fr/hal-00703016
Learning structural descriptions from examples The Psychology of Computer Vision, 1975. ,
Intelligent Tutoring Systems: A Survey, Exploring Artificial Intelligence, 1988. ,
DOI : 10.1016/B978-0-934613-67-5.50005-8