Personalized Course Generation Based on Layered Recommendation Systems

  • Xiaohong Tan
  • Ruimin Shen
Conference paper

DOI: 10.1007/978-3-319-09635-3_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8613)
Cite this paper as:
Tan X., Shen R. (2014) Personalized Course Generation Based on Layered Recommendation Systems. In: Popescu E., Lau R.W.H., Pata K., Leung H., Laanpere M. (eds) Advances in Web-Based Learning – ICWL 2014. ICWL 2014. Lecture Notes in Computer Science, vol 8613. Springer, Cham

Abstract

Personalized learning aims at providing services that fit the needs, goals, capabilities and interests of the learners. Recommender systems have recently begun to investigate into helping teachers to improve e-learning. In this paper, we propose a personalized course generation system based on a layered recommender system. The aim of this system is to recommend personalized leaning content for online learners based on the personal characteristics of learners, such as the prior knowledge level, learning abilities and learning goals. The recommender algorithm generates a knowledge domain and learning objects in three layers. The generated courses consider both the teaching plan of teachers and the learners’ personal characteristics of the knowledge.

Keywords

personalized learning course generation recommender system layered recommendation system 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xiaohong Tan
    • 1
  • Ruimin Shen
    • 1
  1. 1.E-Learning LabShanghai Jiao Tong UniversityShanghaiChina

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