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Recommendations for the Selection of Methods for the Analysis of eCollaboration based on a Systematic Literature Review

Learning Analytics plays an increasing role in the analysis of virtual learning activities. This article addresses the gap between educational needs and technical supply. By means of a Systematic Literature Review of the LAK conferences the authors extracted observations, methods and tools which represent potential solutions for a given eCollaboration scenario. Based on three prioritised examples of an observation sheet, methods are derived and recommendations for the use of Learning Analytics tools are given. The result is a catalogue that enable users to select suitable methods and tools for an implementation. The (semi-) automation can increase the efficiency of Community Managers in monitoring the participants and hence make real-time intervention feasible.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:33490
Date11 March 2019
CreatorsRietze, Michel, Lenk, Florian, Hesse, Moritz
ContributorsTechnische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:workingPaper, info:eu-repo/semantics/workingPaper, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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