Evaluating Learning Analytics of Adaptive Learning Systems: A Work in Progress Systematic Review

Tobias Alexander Bang Tretow-Fish*, Md Saifuddin Khalid

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 6th EAI International Conference : Design, Learning, and Innovation
EditorsEva Brooks, Jeanette Sjöberg, Anders Kalsgaard Møller
PublisherSpringer
Publication date2022
Pages37-52
ISBN (Print)9783031066740
DOIs
Publication statusPublished - 2022
Event6th EAI International Conference on Design, Learning, and Innovation - Virtual, Online
Duration: 10 Dec 202111 Dec 2021

Conference

Conference6th EAI International Conference on Design, Learning, and Innovation
LocationVirtual, Online
Period10/12/202111/12/2021
SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume435 LNICST
ISSN1867-8211

Keywords

  • Adaptive learning platforms
  • Evaluation
  • Learning analytics

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