Learning Evidence Analytics Framework (LEAF) in Practice: A2I2 based Teacher Adoption Approach

Authors

  • Rwitajit MAJUMDAR Author
  • Jayakrishnan M. Warriem Author
  • Hiroyuki KUROMIYA Author
  • Gökhan AKÇ APINAR Author
  • Brendan FLANAGAN Author
  • Hiroaki OGATA Author

DOI:

https://doi.org/10.58459/icce.2019.334

Abstract

Learning Analytics (LA) platforms can gather data from the teaching-learning interactions during a course. While there have been previous discussions regarding the individual tools, limited scholarship describes the utility of a LA framework for supporting evidence-based teaching-learning practices. We have proposed LEAF, a framework to bridge that gap. We implement the framework in a platform by integrating LMS, learning behaviour sensors such as an ebook reader, learning analytics dashboard and an evidence portal through Learning Tools Interoperability (LTI). The platform was then made available to teachers from different colleges in India to orchestrate their course offering for one semester. This paper describes the design of the teacher training module for the adoption of the platform based on the A2I2 model as its theoretical basis. The A2I2 model explicitly focuses on encouraging scholarship of learning and teaching among participating teachers and thus is an ideal candidate for utilizing an evidence-based framework.

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Published

2019-12-02

How to Cite

Learning Evidence Analytics Framework (LEAF) in Practice: A2I2 based Teacher Adoption Approach. (2019). International Conference on Computers in Education. https://doi.org/10.58459/icce.2019.334