Extending log-based affect detection to a multi-user virtual environment for science

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

Volumn 8538, Issue , 2014, Pages 290-300

  Baker, Ryan S ^a   Ocumpaugh, Jaclyn ^a   Gowda, Sujith M ^b   Kamarainen, Amy M ^c   Metcalf, Shari J ^d  

^a Teachers College Columbia University ^*  (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c NY Hall of Science ^*  (United States)

^d HARVARD UNIVERSITY   (United States)

Author keywords

Affect detection; Educational data mining; Intelligent tutoring system; MUVEs; Science inquiry; Student modeling

Indexed keywords

APPLICATION PROGRAMS; COMPUTER AIDED INSTRUCTION; DATA MINING; EDUCATION COMPUTING; LEARNING SYSTEMS; MULTIUSER DETECTION; VIRTUAL REALITY;

AFFECT DETECTION; EDUCATIONAL DATA MINING; INTELLIGENT TUTORING SYSTEM; MUVES; SCIENCE INQUIRIES; STUDENT MODELING;

STUDENTS;

EID: 84927511943     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-08786-3_25     Document Type: Conference Paper

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