Fakultät für Informatik

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LAMM - Learning Analytics Metadata Model
(Otto-von-Guericke-Universität Magdeburg, 2022) Wolff, Ian; Broneske, David; Köppen, Veit
Research data management is an emerging topic in all sciences. In this work, we introduce a metadata model called LAMM – Learning Analytics Metadata Model – for learning analytics. We derived metadata entities, by conducting a literature review in the special learning analytics field on observing collaborative programming scenarios, and together with researchers from our project context from three different universities. The main focus lies on the subject-specific metadata entities, to describe the learning analytics data provenance and learning process measurement in detail to increase third-party researcher reusability for learning analytics datasets. The result of the Version 0.1 takes metadata entities of existing metadata standards into consideration and provides the opportunity besides general descriptive metadata, to describe the learning-analytics-specific entities environment, learner, measurement instrument and learning-process-measurement and gives the option to link datasets with other related research.