Evaluating the AFEL Learning Tool: Didactalia Users’ Experiences with Personalized Recommendations and Interactive Visualizations

Seren Yenikent, Peter Holtz, Mathieu d’Aquin, Joachim Kimmerle, Stefan Thalmann

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Learning technologies offer opportunities for users to enhance and to personalize self-regulated learning activities. In this paper, we present the results of a laboratory study that covers the user evaluation of the AFEL Didactalia app, which analyzes everyday learning activities of
learners, extracts learning scopes and trajectories, and provides personalized recommendations of learning resources as well as an interactive visualization of learning activities. Participants of the study (N=76) engaged with the tool after first completing an assigned learning task related to geography or history using learning materials from the Didactalia platform for approximately 30
minutes and afterwards freely exploring the platform for 30-45 minutes. The related behavior
data was tracked and analyzed by the AFEL learning tool. After completing the two tasks, participants received an introduction to the tool and explored them as well. The results suggest a satisfactory experience with the tool and provide insights on the potential benefits, as well as
aspects to be improved for further development. We discuss our findings and the next steps of the investigation in detail
Original languageEnglish
Title of host publicationAFEL 2018 - Analytics for Everyday Learning
Subtitle of host publicationProceedings of the 1st Workshop on Analytics for Everyday Learning co-located with 13th European Conference on Technology Enhanced Learning (EC-TEL 2018)
Publication statusPublished - 19 Oct 2018
Externally publishedYes

Publication series

NameCEUR Workshop Proceedings
Volume2209
ISSN (Electronic)1613-0073

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