DocumentCode
3079615
Title
Persuasive Teachable Agent User Modeling
Author
Su Fang Lim ; Chan, Mei-Lin ; Ailiya ; Chunyan Miao ; Zhiqi Shen
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2013
fDate
15-18 July 2013
Firstpage
307
Lastpage
308
Abstract
Teachable agents help students learn more effectively through the benefits of learning-by-teaching. Our field study has shown that learners do not benefit fully from learning with teachable agents due to a lack focus in engaging in learning tasks. We propose the persuasive teachable agent user model as a means to understand individual user learning needs through persuasion theory in order to address these issues, with a small group study displaying encouraging results in improving learning interest among learners.
Keywords
augmented reality; computer aided instruction; multi-agent systems; teaching; user modelling; 3D intelligent agent augmented multiuser environment; learning-by-teaching; persuasion theory; persuasive teachable agent user modeling; virtual Singapura; virtual learning environment; Adaptation models; Cognition; Computational modeling; Computers; Educational institutions; Games; Persuasion; Persusasive Teachable Agent; User model; Virtual Learning Environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/ICALT.2013.96
Filename
6601938
Link To Document