Learning analytics: Prospects and Challenges

Authors

  • Laslo Šereš University of Novi Sad, Faculty of Economics in Subotica, Subotica, Serbia
  • Veselin Pavlicevic University of Novi Sad, Faculty of Economics in Subotica, Subotica, Serbia
  • Goran Petrovic Institute of Field and Vegetable Crops, Novi Sad, Serbia
  • Danijel Horvat University of Novi Sad, Faculty of Economics in Subotica, Subotica, Serbia
  • Rajko Ivanišević University of Novi Sad, Faculty of Economics in Subotica, Subotica, Serbia

Keywords:

Learning analytics, Technology-enhanced learning, Action analytics, Learning

Abstract

Owing to its high promises for improving learning support, teaching, and learning outcomes in higher education, learning analytics has captured much interest from both academics and practitioners over the last several years. Considering that it is rooted in several disciplines, researchers and practitioners have approached learning analytics from a range of perspectives. Although many studies concerning learning analytics have highlighted its great potential for improving learning practice, there is little evidence of successful transfer of the suggested potential into the practice of higher education happening. This clearly indicates a need for rethinking many aspects of learning analytics usage: first, the goals that can be achieved, but also the actions necessary to attain these goals. The aim of the descriptive research presented in this paper is to provide an updated and realistic view of the state of the art in learning analytics, its potential benefits, and tangible challenges that need to be overcome for a successful application of learning analytics as educational technology.

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Published

2022-09-30