Towards an Open and Extensible Learning Analytics Systems

Authors

  • Byung-gi CHOI School of Electrical and Computer Engineering, University of Seoul, Republic of Korea Author
  • Sunyoung YOU School of Electrical and Computer Engineering, University of Seoul, Republic of Korea Author
  • Jaeho LEE School of Electrical and Computer Engineering, University of Seoul, Republic of Korea Author

Abstract

The power of learning analytics systems comes from the ability to support diverse analytics needs that arise from a variety of learning environments at various scale. As an effective integration framework for learning analytics, the system should be versatile enough to seamlessly incorporate various analytics methods and tools as needed. Based on our previous design and implementation of a reference model for learning analytics, we describe the progress made towards an open and extensible learning analytics system to support various analytics tools and processes by explicit specification of analytics tools and flexible management of the analytics processes.

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Published

2016-11-28

How to Cite

Towards an Open and Extensible Learning Analytics Systems. (2016). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/3578