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Learning Path Construction Based on Association Link Network

Yang, Fang; Li, Frederick W.B.; Lau, Rynson W.H.

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Authors

Fang Yang

Rynson W.H. Lau



Contributors

Elvira Popescu
Editor

Ralf Klamma
Editor

Howard Leung
Editor

Marcus Specht
Editor

Abstract

Nowadays the Internet virtually serves as a library for people to quickly retrieve information (Web resources) on what they want to learn. Reusing Web resources to form learning resources offers a way for rapid construction of self-pace or even formal courses. This requires identifying suitable Web resources and organizing such resources into proper sequences for delivery. However, getting these done is challenging, as they need to determine a set of Web resources properties, including the relevance, importance and complexity of Web resources to students as well as the relationships among Web resources, which are not trivial to be done automatically. Particularly each student has different needs. To address the above problems, we present a learning path generation method based on the Association Link Network (ALN), which works out Web resources properties by exploiting the association among Web resources. Our experiments show that the proposed method can generate good quality learning paths and help improve student learning.

Citation

Yang, F., Li, F. W., & Lau, R. W. (2012). Learning Path Construction Based on Association Link Network. In E. Popescu, Q. Li, R. Klamma, H. Leung, & M. Specht (Eds.), Advances in web-based learning (ICWL 2012) : proceedings of 11th International Conference, Sinaia, Romania, September 2-4, 2012 (120-131). Springer Verlag. https://doi.org/10.1007/978-3-642-33642-3_13

Publication Date Jan 1, 2012
Deposit Date Jul 6, 2016
Publicly Available Date Jul 19, 2016
Publisher Springer Verlag
Pages 120-131
Series Title Lecture notes in computer science
Book Title Advances in web-based learning (ICWL 2012) : proceedings of 11th International Conference, Sinaia, Romania, September 2-4, 2012.
ISBN 9783642336416 978, 36423364238
DOI https://doi.org/10.1007/978-3-642-33642-3_13
Public URL https://durham-repository.worktribe.com/output/1642226
Additional Information Series: Lecture Notes in Computer Science

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