Applying Learning Analytics in Online Environments: Measuring Learners’ Engagement Unobtrusively
- Prior to the emergence of Big Data and technologies such as Learning Analytics (LA), classroom research focused mainly on measuring learning outcomes of a small sample through tests. Research on online environments shows that learners’ engagement is a critical precondition for successful learning and lack of engagement is associated with failure and dropout. LA helps instructors to track, measure and visualize students’ online behavior and use such digital traces to improve instruction and provide individualized support, i.e., feedback. This paper examines 1) metrics or indicators of learners’ engagement as extracted and displayed by LA, 2) their relationship with academic achievement and performance, and 3) some freely available LA tools for instructors and their usability. The paper concludes with making recommendations for practice and further research by considering challenges associated with using LA in classrooms.
Author: | Sima Caspari-Sadeghi |
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URN: | urn:nbn:de:bvb:739-opus4-10440 |
DOI: | https://doi.org/10.3389/feduc.2022.840947 |
Parent Title (English): | Frontiers in Education |
Document Type: | Article |
Language: | English |
Date of first Publication: | 2022/01/25 |
Publishing Institution: | Universität Passau |
Release Date: | 2022/05/27 |
Article Number: | 840947 |
Page Number: | 6 Seiten |
First Page: | 1 |
Last Page: | 6 |
Source: | Frontiers in Education, January 2022, volume 7, article 840947 |
Institutes: | Philosophische Fakultät |
open_access (DINI-Set): | open_access |
Funding Acknowledgement: | Gefördert durch den Open-Access-Publikationsfonds der Universitätsbibliothek Passau. |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |