The Pedagogical Value of Papers: a Collaborative-Filtering based Paper Recommender

Authors

  • Tiffany Y Tang Department of Computing, Hong Kong Polytechnic University
  • Gordon McCalla Department of Computer Science, University of Saskatchewan, Saskatoon

Abstract

In this paper we discuss the pedagogical features necessary to make appropriate recommendations of papers to students in an e-learning domain. Analyzing data collected in a human subject study several characteristics of learners and of papers are found that are important to making good recommendations. These pedagogical features distinguish e-learning domains from many commercial domains where the only key factor is a user’s likes and dislikes.

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Published

2009-01-04