Beyond Learning Analytics: Framework for Technology-Enhanced Evidence-Based Education and Learning

Authors

  • Hiroaki OGATA Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Rwitajit MAJUMDAR Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Gökhan AKÇAPINAR Department of Computer Education & Instructional Technology, Hacettepe University, Turkey Author
  • Mohammad Nehal HASNINE Academic Center for Computing and Media Studies, Kyoto University, Japan Author
  • Brendan FLANAGAN Academic Center for Computing and Media Studies, Kyoto University, Japan Author

Abstract

Currently, eLearning infrastructure across various institutions often includes a Learning Management System (LMS), various ubiquitous and classroom learning tools, Learning Record Stores (LRS), and Learning Analytics Dashboards (LAD). Such an infrastructure can apply Learning Analytics (LA) methods to process log data and support various stakeholders. Teachers can refine their instructional practices, learners can enhance learning experiences, and researchers can study the dynamics of the teaching-learning process with it. While LA platforms gather and analyze the data, there is a lack of specific design framework to capture the technology-enhanced teaching-learning practices. This position paper focuses the research agenda on evidence in a data-driven educational scenario. We propose the Learning Evidence Analytics Framework (LEAF) and present the research challenges involved.

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Published

2018-11-26

How to Cite

Beyond Learning Analytics: Framework for Technology-Enhanced Evidence-Based Education and Learning. (2018). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/3814