This paper envisages emerging trends and methods in learning analytics for post-LMS era, where learning increasingly takes place in distributed, user-defined digital learning ecosystems. Inspired by the recent developments on uptake framework and Experience API, we propose learning flow as the main unit of analysis while studying learning-related interactions.
Analyzing learning flows in digital learning ecosystems / Eradze, M., Pata, K., Laanpere, M. (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE). - In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY : Springer Verlag, 2015. - ISBN 9783662463147. - pp. 63-72 [10.1007/978-3-662-46315-4_7]
Analyzing learning flows in digital learning ecosystems
Eradze M.;
2015
Abstract
This paper envisages emerging trends and methods in learning analytics for post-LMS era, where learning increasingly takes place in distributed, user-defined digital learning ecosystems. Inspired by the recent developments on uptake framework and Experience API, we propose learning flow as the main unit of analysis while studying learning-related interactions.
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