Conference paper
Evaluating Learning Analytics of Adaptive Learning Systems: A Work in Progress Systematic Review
There is currently no systematic overview of methods for evaluating Learning Analytics (LA) and Learning Analytics Dashboards (LAD) of Adaptive Learning Platforms (ALPs). 10 articles and 2 reviews are analyzed and synthesized. Focusing on the purposes of evaluation, methods used in the studies are grouped into five categories (C1-5): C1) evaluation of LA and LAD design and framework, C2) evaluation of performance with LA and LAD, C3) evaluation of adaptivity functions of the system, C4) evaluation of perceived value, and C5) Evaluation of pedagogical and didactic theory/context.
While there is a relative high representation of evaluations in the C1-C4 categories of methods, which contribute to the design and development of the interaction and interface design features, the C5 category is not represented. The presence of pedagogical and didactical theory in the LA, LAD, and ALPs is lacking.
Though traces of pedagogical theory is present none of the studies evaluates on its impact.
Language: | English |
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Publisher: | Springer |
Year: | 2022 |
Pages: | 37-52 |
Proceedings: | 6<sup>th</sup> EAI International Conference on Design, Learning, and Innovation |
Series: | Lecture Notes of the Institute for Computer Sciences, Social-informatics and Telecommunications Engineering, Lnicst |
Journal subtitle: | Design, Learning, and Innovation |
ISBN: | 303106674X , 303106674x , 3031066758 , 9783031066740 and 9783031066757 |
ISSN: | 1867822x and 18678211 |
Types: | Conference paper |
DOI: | 10.1007/978-3-031-06675-7_3 |
ORCIDs: | Tretow-Fish, Tobias Alexander Bang and Khalid, Md Saifuddin |