论文信息 - Computer‐Aided Misconception‐Based Intelligent Tutoring and Exercise Generation

Computer‐Aided Misconception‐Based Intelligent Tutoring and Exercise Generation

Abstract This paper explores two uses of a set of possible student misconceptions about how to carry out a particular task. The first use is in computer‐based intelligent tutoring systems, and the second is in computer‐based exercise and test generation. Also considered are methods of acquiring the set of misconceptions and of dealing with unknown and multiple misconceptions.

Lee A. Becker | L. Becker

[1] Anna Hart,et al. Knowledge elicitation: issues and methods , 1985 .

[2] Derek Sleeman. INFERRING STUDENT MODELS FOR INTELLIGENT COMPUTER-AIDED INSTRUCTION , 1983 .

[3] Jaime G. Carbonell,et al. Machine learning: a guide to current research , 1986 .

[4] K. A. Ericsson,et al. Protocol Analysis: Verbal Reports as Data , 1984 .

[5] Barr and Feigenbaum Edward A. Avron,et al. The Handbook of Artificial Intelligence , 1981 .

[6] William J. Clancey,et al. Applications-Oriented AI Research: Education , 1979 .

[7] Jaime G. Carbonell,et al. Machine Learning: A Historical and Methodological Analysis , 1983, AI Mag..

[8] Derek H. Sleeman,et al. An Attempt to Understand Students' Understanding of Basic Algebra , 1984, Cogn. Sci..

[9] Jeffrey D. Ullman,et al. Introduction to Automata Theory, Languages and Computation , 1979 .

[10] Nancy M. Cooke,et al. A formal methodology for acquiring and representing expert knowledge , 1986, Proceedings of the IEEE.

[11] John R. Anderson,et al. MACHINE LEARNING An Artificial Intelligence Approach , 2009 .