A Bayesian sequential procedure for determining the optimal number of interrogatory examples for concept-learning

Computers in Human Behavior

Volumn 23, Issue 1, 2007, Pages 609-627

  Vos, Hans J ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Bayesian sequential principle; Concept learning; Intelligent tutoring systems; Minnesota adaptive instructional system; Sequential decision making

Indexed keywords

COSTS; DECISION MAKING; DECISION THEORY; STUDENTS;

BAYESIAN SEQUENTIAL PRINCIPLE; CONCEPT-LEARNING; INTELLIGENT TUTORING SYSTEMS; MINNESOTA ADAPTIVE INSTRUCTIONAL SYSTEM; SEQUENTIAL DECISION-MAKING;

LEARNING SYSTEMS;

EID: 33748786272     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2004.11.002     Document Type: Article

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