Understanding student success in chemistry using gaze tracking and pupillometry

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

Volumn 9112, Issue , 2015, Pages 358-366

  Peterson, Joshua ^a   Pardos, Zachary ^a   Rau, Martina ^b   Swigart, Anna ^a   Gerber, Colin ^a   McKinsey, Jonathan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Chem tutor; Eye tracking; Intelligent tutoring systems; Performance prediction

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER AIDED INSTRUCTION; EDUCATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; TRACKING (POSITION);

CHEM TUTOR; EDUCATIONAL MATERIALS; EYE-TRACKING; GRAPHICAL REPRESENTATIONS; INTELLIGENT TUTORING SYSTEM; LEARNING ENVIRONMENTS; PERFORMANCE PREDICTION; UNDERGRADUATE STUDENTS;

STUDENTS;

EID: 84948978234     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19773-9_36     Document Type: Conference Paper

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