Open Universiteit

Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/8259
Title: The Evaluation Framework for Learning Analytics
Authors: Scheffel, Maren
Keywords: learning analytics
evaluation framework
doctoral thesis
awareness
reflection
impact
validation
EFLA
Issue Date: 22-Sep-2017
Citation: Scheffel, M. (2017, 22 September). The Evaluation Framework for Learning Analytics. Doctoral thesis. Heerlen, The Netherlands: Open Universiteit (Welten Institute, Research Centre for Learning, Teaching and Technology)
Series/Report no.: SIKS Dissertation Series;2017-34
Abstract: The thesis is structured into three parts that describe the iterative process of creating, applying, evaluating and improving the different versions of the evaluation framework for learning analytics (EFLA). The first part describes the identification of quality indicators for learning analytics as well as the initialisation, first evaluation and first improvement of the EFLA based on input from the learning analytics community as well as related literature; the second part then applies the EFLA to a collaborative learning support widget and describes the subsequent evaluation and improvement; the third part then illustrates the application of the EFLA to widgets of a massive open online course platform and explains the final evaluation and validation process of the framework. The thesis is concluded by a General Discussion of the results reported in all studies. Apart from a summary of the findings, general limitations are reviewed and practical implications are discussed.
URI: http://hdl.handle.net/1820/8259
ISBN: 9789492231819
Appears in Collections:PhD Welten Institute

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