Learning path construction based on association link network

Authors:
Fan Yang;Frederick W. B. Li;Rynson W. H. Lau
Affiliations:
School of Engineering and Computing Sciences, Durham University, UK;School of Engineering and Computing Sciences, Durham University, UK;Department of Computer Science, City University of Hong Kong, HK
Venue:
ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
Year:
2012

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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.