Connecting the dots – A literature review on learning analytics indicators from a learning design perspective
Author:
Affiliation:
1. DIPF, Leibniz Institute for Research and Information in Education Frankfurt Germany
2. University of Bolton Bolton UK
3. University College of Teacher Education Vienna Austria
Publisher
Wiley
Subject
Computer Science Applications,Education
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcal.12716
Reference199 articles.
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2. Agnihotri L. Essa A. &Baker R.(2017).Impact of student choice of content adoption delay on course outcomes. Proceedings of the Seventh International Learning Analytics & Knowledge Conference.
3. Engagement vs performance: Using electronic portfolios to predict first semester engineering student persistence;Aguiar E.;Journal of Learning Analytics,2014
4. Aguiar E. Lakkaraju H. Bhanpuri N. Miller D. Yuhas B. &Addison K. L.(2015).Who when and why: A machine learning approach to prioritizing students at risk of not graduating high school on time. Proceedings of the fifth international conference on learning analytics and knowledge.
5. Ahmad A. Schneider J. Weidlich J. diMitri D. Yau J. Schiffner D. &Drachsler H.(2022).What indicators can I serve You with? An evaluation of a research‐driven learning analytics indicator repository. Proceedings of the 14th international conference on computer supported education ‐ volume 1: CSEDU 58–68.https://doi.org/10.5220/0010995800003182
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