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Analysis of Learning Analytics in Higher Educational Institutions: A Review

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Advances in Visual Informatics (IVIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10645))

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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.

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Authors and Affiliations

  1. Institute of Postgraduate Studies, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Sarraf Rajesh Kumar

  2. Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Suraya Hamid

Authors
  1. Sarraf Rajesh Kumar
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  2. Suraya Hamid
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Correspondence to Sarraf Rajesh Kumar .

Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, United Kingdom

    Peter Robinson

  3. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  4. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  5. Carlos III University of Madrid, Madrid, Spain

    Sergio Velastin

  6. Toyo University, Kawagoe, Japan

    Tada Terutoshi

  7. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Azizah Jaafar

  8. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali

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Rajesh Kumar, S., Hamid, S. (2017). Analysis of Learning Analytics in Higher Educational Institutions: A Review. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_18

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  • DOI: https://doi.org/10.1007/978-3-319-70010-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70009-0

  • Online ISBN: 978-3-319-70010-6

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