Affective computing and affective learning – methods, tools and prospects - Publication - Bridge of Knowledge

Search

Affective computing and affective learning – methods, tools and prospects

Abstract

Every teacher knows that interest, active participation and motivation are important factors in the learning process. At the same time e-learning environments almost always address only the cognitive aspects of education. This paper provides a brief review of methods used for affect recognition, representation and processing as well as investigates how these methods may be used to address affective aspect of e-education. The paper analyzes on how affective learning and affective computing can be combined to assess and improve effectiveness of educational processes, including the processes enhanced with technology. Three case studies are analyzed to illustrate the complexity and diversity of affective learning tools. Some of the challenges of affective computing are outlined and prospects of application in e-learning are discussed.

Cite as

Full text

download paper
downloaded 85 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-SA open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
EduAkcja. Magazyn Edukacji Elektronicznej pages 16 - 31,
ISSN:
Language:
English
Publication year:
2013
Bibliographic description:
Landowska A.: Affective computing and affective learning – methods, tools and prospects// EduAkcja. Magazyn edukacji elektronicznej. -., nr. 1(5) (2013), s.16-31
Verified by:
Gdańsk University of Technology

seen 142 times

Recommended for you

Meta Tags