A Recommender System Based on Hierarchical Clustering for Cloud e-Learning

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 737)

Abstract

Cloud e-Learning (CeL) is a new paradigm for e-Learning, aiming towards using any possible learning object from the cloud in a smart way and generate a personalised learning path for individual learners. An issue that appears before the generation of the learning path through automated planning, is to filter a pool of resources that are relevant to the learners profile and desires in order to enhance their knowledge and skills at a higher cognitive level. In this paper, we present a Recommender System for Cloud e-Leaning (CeLRS) that uses hierarchical clustering to select the most appropriate resources and utilise a vector space model to rank these resources in order of relevance for any individual learner. We discuss the issues raised and we demonstrate how CeLRS works.

Keywords

Intelligent e-learning Recommender systems Hierarchical clustering Personalised learning 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.South-East European Research CenterThessalonikiGreece
  2. 2.The University of Sheffield International FacultyThessalonikiGreece

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