Research on Student Model of Adaptive Learning System Based on Semantic Web

Jian Qiong Xiao

doi:10.4028/www.scientific.net/AMR.739.562

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 739Research on Student Model of Adaptive Learning...

Research on Student Model of Adaptive Learning System Based on Semantic Web

Abstract:

This paper came up with introducing four dimensions: learning mood, cognitive state, learning style and interest preference and so on for the semantic web, based on the analysis the present situation student models at home and abroad. Realized to classify learners and establish student models which used an improved similarity algorithm, and the student model applied to adaptive learning system, which not only could solve the lack semantic in adaptive learning system, and greatly improves the practicability, intelligent and personalized.

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Periodical:

Advanced Materials Research (Volume 739)

Pages:

562-565

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.739.562

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Online since:

August 2013

Authors:

Jian Qiong Xiao

Keywords:

Adaptive Learning System, Semantic Web, Similarity Algorithm, Student Model

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