A Learners' Personalization Preference Analysis Model Applied to E-Learning Content Recommendation in Consideration of Time Effect

Authors

  • Gwo-Haur Hwang Department of Information Network and System Administration, Ling Tung University, Taiwan Author
  • Beyin Chen Department of Information Management, Ling Tung University, Taiwan Author
  • Sherry Y. Chen Graduate Institute of Network Learning Technology, National Central University, Taiwan Author

Abstract

The accelerative update of the knowledge makes lif elong learning become important. But learners’ preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-lea rning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e -books’ recommendation.

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Published

2012-11-26

Conference Proceedings Volume

2012: ICCE 2012: The 20th International Conference on Computers in Education

Section

Articles

How to Cite

A Learners’ Personalization Preference Analysis Model Applied to E-Learning Content Recommendation in Consideration of Time Effect. (2012). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/2901