Epistemological Remediation in Intelligent Tutoring Systems

This paper presents an approach to student’s errors diagnosis in intelligent tutoring systems and to the remedial instruction to overcome those errors. Our contribution arises from two key components. Firstly, a diagnosis model, which based on the nature of the learner’s input, as well as its exercise knowledge model., uses Bayesian induction (a posteriori maximization) to find the most probable causes of a failure Secondly a remedial instruction model which will be the focus of this paper. This model will use the epistemological nature of the faulty skill that was diagnosed.

[1]  Marek J. Druzdzel,et al.  Efficient Reasoning in Qualitative Probabilistic Networks , 1993, AAAI.

[2]  Cristina Conati,et al.  Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation , 2000, Intelligent Tutoring Systems.

[3]  Leslie J. Briggs,et al.  Principles of Instructional Design , 1974 .

[4]  Barbara Wasson.  Facilitating dynamic pedagogical decision making: PEPE and GTE , 1998 .

[5]  Roger Nkambou,et al.  Hierarchical Representation and Evaluation of the Student in an Intelligent Tutoring System , 2002, Intelligent Tutoring Systems.

[6]  Science cognitive et formation , 1992 .

[7]  Gilbert Paquette,et al.  Modélisation des connaissances et des compétences , 2002 .

[8]  P. H. Lindsay,et al.  Human Information Processing: An Introduction to Psychology , 1972 .

[9]  J. S. Brown,et al.  Pedagogical, natural language, and knowledge engineering techniques in SOPHIE-I, II and III , 1982 .

[10]  Claude Frasson,et al.  CREAM-Tools: An Authoring Environment for Knowledge Engineering in Intelligent Tutoring Systems , 2003 .

[11]  Carolyn Penstein Rosé,et al.  Fading and Deepening: The Next Steps for Andes and other Model-Tracing Tutors , 2000, Intelligent Tutoring Systems.

[12]  Judith D. Wilson,et al.  Artificial Intelligence and Tutoring Systems , 1990 .

[13]  Stellan Ohlsson,et al.  Some principles of intelligent tutoring , 1986 .

[14]  Marios C. Angelides,et al.  Towards an Intelligent Tutoring System Architecture that Supports Remedial Tutoring , 1998, Artificial Intelligence Review.

[15]  Wendy Hall,et al.  Multimedia Pedagogues: Interactive Systems for teaching and Learning , 1995, Computer.

[16]  Stellan Ohlsson,et al.  Psychological evaluation of path hypotheses in cognitive diagnosis , 1988 .

[17]  Albert T. Corbett,et al.  Intelligent Tutoring Systems , 1985, Science.

[18]  A. Hasman,et al.  Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .