Contextual slip and prediction of student performance after use of an intelligent tutor

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

Volumn 6075 LNCS, Issue , 2010, Pages 52-63

  Baker, Ryan S J D ^a   Corbett, Albert T ^b   Gowda, Sujith M ^a   Wagner, Angela Z ^b   MacLaren, Benjamin A ^b   Kauffman, Linda R ^c   Mitchell, Aaron P ^c   Giguere, Stephen ^a  

^a WORCESTER POLYTECHNIC INSTITUTE   (United States)

^b Carnegie Mellon University   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Bayesian Knowledge Tracing; Contextual Slip; Educational Data Mining; Intelligent Tutoring Systems; Student Modeling

Indexed keywords

ANDERSONS; BAYESIAN; EDUCATIONAL DATA MINING; INDIVIDUAL DIFFERENCES; INTELLIGENT TUTORING SYSTEM; INTELLIGENT TUTORS; STUDENT KNOWLEDGE; STUDENT MODELING; STUDENT PERFORMANCE; TEST PERFORMANCE;

BAYESIAN NETWORKS; COMPUTER AIDED INSTRUCTION; DATA MINING; EDUCATION COMPUTING; FORECASTING; STUDENTS;

STATISTICAL TESTS;

EID: 77954581344     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13470-8_7     Document Type: Conference Paper

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