A bayes net toolkit for student modeling in intelligent tutoring systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4053 LNCS, Issue , 2006, Pages 104-113

  Chang, Kai Min ^a   Beck, Joseph ^a   Mostow, Jack ^a   Corbett, Albert ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; KNOWLEDGE ACQUISITION; STUDENTS;

BAYES NET TOOLBOX; DYNAMIC BAYES NETS (DBNS); KNOWLEDGE TRACING (KT); SKILL ACQUISITION;

COMPUTER AIDED INSTRUCTION;

EID: 33746332657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11774303_11     Document Type: Conference Paper

References (8)

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3. Woolf, B.: Artificial Intelligence in Education. Encyclopedia of Artificial Intelligence. John Wiley & Sons: New York (1992) 434-444
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5. Dean, T., Kanazawa, K.: A model for reasoning about persistence and causation. International Journal of Computational Intelligence 5 (1989) 142-150
6. Reye, J.: Student modeling based on belief networks. International Journal of Artificial Intelligence in Education 14 (2004) 1-33
7. Powell, M.: An efficient method for finding the minimum of a function in several variables without calculating derivatives. Computer Journal 7 (1964) 155-162
8. Mostow, J., Aist, G.: Evaluating tutors that listen; An overview of Project LIS-TEN. Smart Machines in Education. K. Forbus and P. Feltovich, Editors, MIT/AAA Press: Menlo Park, CA. (2001) 169-234