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Smart E-Learning Using Recommender System

  • Nuanwan Soonthornphisaj
  • Ekkawut Rojsattarat
  • Sukanya Yim-ngam
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

We develop an e-learning web application that integrates the materials recommender system to facilitate the learners during the learning process. The system evaluates each learner via the quiz generator by randomly selecting a set of questions that are created by the instructor. Our smart e-learning system helps instructors to create and maintain both compulsory materials and questions. We implemented the system at the faculty of Resource and Environment, Kasetsart University at Sri-racha campus and found that our system got a very good response from the instructors and learners. Furthermore, we propose the global e-learning framework using web service that has an ability to aggregate the recommended materials from other e-learning web sites and predicts more suitable materials to learners.

Keywords

Recommender System Collaborative Filter Computer Support Cooperative Work Mender System Book Recommendation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nuanwan Soonthornphisaj
    • 1
  • Ekkawut Rojsattarat
    • 2
  • Sukanya Yim-ngam
    • 2
  1. 1.Department of Computer Science, Faculty of Science, Kasetsart University, BangkokThailand
  2. 2.Department of Computer Science, Faculty of Resource and Environment, Kasetsart University Sri-racha campus, ChonburiThailand

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