Literature review learning analytics

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Michail N. Ilias O. Vasileios Terzis, Phd in Information Sy Jennifer K. Learning analytics Technology Enhanced Learning self-assessment learner modeling.
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A Systematic Literature Review of Analytics for Adaptivity Within Educational Video Games

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Learning Analytics in Higher Education — A Literature Review — Graz University of Technology

This article or chapter is incomplete and its contents need further attention. Some information may be missing or may be wrong, spelling and grammar may have to be improved, use your judgment! This piece is a "note taking" article. It may include some ideas and models of interest but would require much work to make it complete. It has not been revised since
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Learning Analytics in Higher Education -A Literature Review

Drawing on eleven case studies, we examine why institutions are deploying learning analytics, and what the benefits are for learners. We also discuss the main data sources being drawn upon by institutions and the technical architecture required. The emphasis of the report is on investigating the evidence for learning analytics: what impact is it having, and to what extent can the algorithms actually predict academic success? We also look at how institutions are carrying out interventions to attempt to retain students at risk, and provide better support for all students as they progress through their studies.
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Abstract: One key factor for the successful outcome of a Learning Analytics LA infrastructure is the ability to decide which software architecture concept is necessary. Big Data can be used to face the challenges LA holds. Beyond that, the challenge of how to gain the trust of the users remains. We found diverse architectural concepts in the domain of LA. Selecting an appropriate solution is not straightforward.
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