DocumentCode
1984871
Title
Research of Personalized Learning Resource Recommendation Based on Learner´s FDI
Author
Ruan, ZhiHong ; Jin, Yi ; Lin, Zhuying
Author_Institution
Sch. of Educ. Sci., Guizhou Normal Univ., Guiyang
Volume
1
fYear
2008
fDate
21-22 Dec. 2008
Firstpage
84
Lastpage
87
Abstract
The personalized learning resource recommendation, as one higher level of the requirements for the learning based on resources of people in the Internet age, has been paid more attention by researchers. Some existing researches can provide personalized learning resources services for learners, but few of them considers the learner´s needs for learning resources from a cognitive style point of view. However, cognitive styles are the relatively steady attitudes and methods of human during the information using process, the differences of learners in cognitive styles can affect their learning results greatly. Therefore, seeing from psychology perspective, Field Dependence-Independence (FDI), one cognitive style, was introduced in the personalized learning resource recommendation in this paper. Then the recommending process of personalized learning resources based on FDI was discussed. The research shows that the learners can be provided with more personalized learning resources, when considering their FDI in the recommending process.
Keywords
Internet; cognition; computer aided instruction; Internet; cognitive style; field dependence-independence; personalized learning resource recommendation process; psychology; Computer science; Computer science education; Educational technology; Electronic mail; Fault detection; Geoscience and remote sensing; Internet; Machine learning; Mathematics; Psychology; FDI; Learning resource; Personalized recommendation;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3563-0
Type
conf
DOI
10.1109/ETTandGRS.2008.114
Filename
5070105
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