The paper overviews the project—European Multiple MOOC Aggre-gator, EMMA for short, and its learning analytics system with the initial results. xAPI statements are used for designing learning analytics dashboards in order to provide instant feedback for learners and instructors. The paper presents dashboard visualizations and discusses the possibilities of use of EMMA learning analytics dashboard views for sensemaking and reflection of the MOOCs and MOOC experience. It investigates some of the MOOCs in EMMA platform as cases and analyzes the learning designs of those MOOCs. Recommendations of changes to learning designs based on learning analytics data are provided.

Learning analytics in MOOCs: EMMA case / Eradze, M.; Tammets, K.. - 2:(2017), pp. 193-204. [10.1007/978-3-319-55477-8_18]

Learning analytics in MOOCs: EMMA case

Eradze M.;
2017

Abstract

The paper overviews the project—European Multiple MOOC Aggre-gator, EMMA for short, and its learning analytics system with the initial results. xAPI statements are used for designing learning analytics dashboards in order to provide instant feedback for learners and instructors. The paper presents dashboard visualizations and discusses the possibilities of use of EMMA learning analytics dashboard views for sensemaking and reflection of the MOOCs and MOOC experience. It investigates some of the MOOCs in EMMA platform as cases and analyzes the learning designs of those MOOCs. Recommendations of changes to learning designs based on learning analytics data are provided.
2017
Studies in Classification, Data Analysis, and Knowledge Organization
978-3-319-55476-1
978-3-319-55477-8
Springer Berlin Heidelberg
Learning analytics in MOOCs: EMMA case / Eradze, M.; Tammets, K.. - 2:(2017), pp. 193-204. [10.1007/978-3-319-55477-8_18]
Eradze, M.; Tammets, K.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1221818
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