Abstract
In this paper we explore the uniqueness of paper recommendation for e-learning systems through a human-subject study. Experiment results showed that the majority of learners have struggled to reach a ‘harmony’ between their interest and educational goal: they admit that in order to acquire new knowledge, they are willing to read not-interesting-yet-pedagogically-useful papers. In other words, learners seem to be more tolerant than users in commercial recommender systems. Nevertheless, as educators, we should still maintain a balance of recommending interesting papers and pedagogically helpful ones in order to retain learners and continuously engage them throughout the learning process.
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Tang, T.Y., McCalla, G. (2004). Laws of Attraction: In Search of Document Value-ness for Recommendation. In: Heery, R., Lyon, L. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2004. Lecture Notes in Computer Science, vol 3232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30230-8_25
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DOI: https://doi.org/10.1007/978-3-540-30230-8_25
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