Associating Facial Expressions and Upper-Body Gestures with Learning Tasks for Enhancing Intelligent Tutoring Systems

Learning involves a substantial amount of cognitive, social and emotional states. Therefore, recognizing and understanding these states in the context of learning is key in designing informed interventions and addressing the needs of the individual student to provide personalized education. In this...

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Veröffentlicht in:	International journal of artificial intelligence in education Jg. 30; H. 2; S. 236 - 270
Hauptverfasser:	Behera, Ardhendu, Matthew, Peter, Keidel, Alexander, Vangorp, Peter, Fang, Hui, Canning, Susan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer New York 01.06.2020 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Behavior Patterns Cognitive tasks Computer Science Computer Science Education Computer vision Computers and Education Context Deep learning Difficulty Level Distance learning Education Educational Environment Educational Researchers Educational Strategies Educational Technology Emotional factors Emotions Eye Movements Head Image classification Intelligent Tutoring Systems Learner Engagement Learning Processes Nonverbal Communication Online instruction Problem Solving Students Teaching Teaching Methods Tutoring Undergraduate Students User Interfaces and Human Computer Interaction Video Technology Neural models applied to AIED systems Adaptive and intelligent multimedia and hypermedia systems Intelligent Tutoring Systems (ITSs) Computer-supported collaborative learning
ISSN:	1560-4292, 1560-4306
Online-Zugang:	Volltext
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