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Analysis of Learning Analytics in Higher Educational Institutions: A Review

  • Sarraf Rajesh KumarEmail author
  • Suraya Hamid
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10645)

Abstract

Learning analytics is relatively new in the field of research models, assessment/evaluation, and business intelligence. The critical analysis of literature explains that, as a consequence of more and better data, learning analytics gained significant attention in education. This paper emphasized integration of three major components: educational data mining, learning analytics, and academic analytics. It gives the comprehensive background for increasing understanding of the positive aspects of implementing the framework of learning analytics (LA) in higher educational institutions in Malaysia. Besides emphasizing LA, the role of educational data mining (EDM) in adaptive learning is also discussed. It gives an empirical-based overview with the key objectives of adopting the proposed model of LA in generic educational strategic planning by Malaysian HEIs. It examined the literature on experimental case studies, conducted during the last six years (2012–2017) for extracting recently updated information on increasing HEIs performance in Malaysia. The results have highlighted some major directions of LA, EDM, and academic analytics in driving techniques for achieving student retention and enhancing employability.

Keywords

Academic analytics Learning analytics Higher education Educational data mining Student retention 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Postgraduate StudiesUniversity of MalayaKuala LumpurMalaysia
  2. 2.Department of Information Systems, Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia

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