Estimating student proficiency using an item response theory model

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

Volumn 4053 LNCS, Issue , 2006, Pages 473-480

  Johns, Jeff ^a   Mahadevan, Sridhar ^a   Woolf, Beverly ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EDUCATION COMPUTING; INTELLIGENT AGENTS; MATHEMATICAL MODELS; PERSONNEL TRAINING; STUDENTS;

COMPUTER-BASED TUTORS; METRICS; MULTIPLE CHOICE PROBLEMS; SCHOLASTIC APTITUDE TEST (SAT);

LEARNING SYSTEMS;

EID: 33746354934     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11774303_47     Document Type: Conference Paper

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