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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/5598
Title: D4.1 Learning analytics: theoretical background, methodology and expected results
Authors: Tammets, Kairit
Laanpere, Mart
Eradze, Maka
Brouns, Francis
Padron Napoles, Carmen L.
De Rosa, Rosanna
Ferrari, Chiara
Keywords: EMMA project
MOOC
European MOOC platform
learning analytics
Issue Date: 20-Nov-2014
Citation: Tammets, K., Laanpere, M., Eradze, M., Brouns, F., Padron Napoles, C. L., De Rosa, R., & Ferrari, C. (2014). D4.1 Learning analytics: theoretical background, methodology and expected results. EMMA Project
Abstract: The purpose of the EMMA project is to showcase excellence in innovative teaching methodologies and learning approaches through the large-scale piloting of MOOCs on different subjects. The main objectives related with the implementation of learning analytics in EMMa project are to: ● develop the learning analytics methodology for MOOCs based on the xAPI (Experience) specification; ● design and develop the learning analytics application for the EMMA platform by combining the EMMA tracking tool, the Learning Record Store and dashboard visualisation applications; ● evaluate the learning analytics methodology and application iteratively. The aims related to the goals of learning analytics are to: ● raise the awareness of the MOOCs’ participants’ learning activities and social structures in the course context; ● provide feedback for MOOC designers and instructors about their course designs based on the participants’ patterns and behaviour in MOOCs. This deliverable provides an overview of the theoretical background on learning analytics, the technical architecture of the EMMA learning analytics application, describes how learning analytics are related to the other activities and tasks of the workpackage and indicates the expected results of the implementation of learning analytics.
URI: http://hdl.handle.net/1820/5598
Appears in Collections:3. TELI Deliverables and reports

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