Review of affective computing in education/learning: Trends and challenges

Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self‐reported questionnaires. Wit...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:British journal of educational technology Ročník 47; číslo 6; s. 1304 - 1323
Hlavní autori: Wu, Chih-Hung, Huang, Yueh-Min, Hwang, Jan-Pan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Coventry Blackwell Publishing Ltd 01.11.2016
Wiley-Blackwell
Predmet:
Affective Behavior
CAI
Classification
Computation
Computer assisted instruction
Computer Uses in Education
Education
Educational Research
Educational technology
Educational Trends
Emotions
Feasibility Studies
Learning
Learning Motivation
Learning Processes
Literature Reviews
Measures (Individuals)
Psychological Patterns
Real time
Trends
ISSN:0007-1013, 1467-8535
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Affect can significantly influence education/learning. Thus, understanding a learner's affect throughout the learning process is crucial for understanding motivation. In conventional education/learning research, learner motivation can be known through postevent self‐reported questionnaires. With the advance of affective computing technology, researchers are able to objectively identify and measure a learner's affective status during the entire learning process in a real‐time manner, and then they are able to understand the interrelationship between emotion, motivation and learning performance. There are over 100 papers in the ScienceDirect database with the keywords “affective computing in education” or “affective computing in learning,” which reveals that this emerging technology has been applied to education/learning. This study intends to categorize and summarize those measurements so as to realize their applicability, feasibility and trends. Finally, some challenges and suggestions are then raised for helping educational researchers when applying affective computing technology.
Bibliografia:istex:E693DDB9CDA81FAC187159DDA78D3FF515F56983
National Science Council, Taiwan - No. NSC 101-2410-H-142-003-MY2
ArticleID:BJET12324
ark:/67375/WNG-ZRDXQMBX-T
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0007-1013
1467-8535
DOI:10.1111/bjet.12324