Identifying learning conditions that minimize mind wandering by modeling individual attributes

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

Volumn 8474 LNCS, Issue , 2014, Pages 94-103

  Kopp, Kristopher ^a   Bixler, Robert ^a   D'Mello, Sidney ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

affect; engagement; machine learning; mind wandering

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION;

AFFECT; ENGAGEMENT; INDIVIDUAL DIFFERENCES; INSTRUCTIONAL TEXTS; MIND WANDERING; OPTIMAL CONDITIONS; SUPERVISED MACHINE LEARNING; ZONING OUTS;

LEARNING SYSTEMS;

EID: 84958532568     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-07221-0_12     Document Type: Conference Paper

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