Motivational design in an intelligent tutoring system that helps students make good task selection decisions

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

Volumn 9112, Issue , 2015, Pages 226-236

  Long, Yanjin ^a   Aman, Zachary ^a   Aleven, Vincent ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

Intelligent tutoring system; Mastery orientation; Motivations; Open learner model; Problem selection; Self Regulated Learning; User centered design

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; DESIGN; EDUCATION; EDUCATION COMPUTING; HUMAN COMPUTER INTERACTION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOTIVATION; SCAFFOLDS; TEACHING; USER CENTERED DESIGN;

CONTROLLED EXPERIMENT; EQUATION SOLVING; INTELLIGENT TUTORING SYSTEM; OPEN LEARNER MODELING; PROBLEM SELECTION; SELECTION DECISIONS; SELF-REGULATED LEARNING; USER-CENTERED DESIGN APPROACHES;

STUDENTS;

EID: 84949032903     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19773-9_23     Document Type: Conference Paper

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