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Teachers’ Expectations of Learning Analytics from a Value-Based Perspective
Mid Sweden University, Östersund, Sweden.
Mid Sweden University, Östersund, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-8543-3774
2023 (English)In: Open Science in Engineering - Proceedings of the 20th International Conference on Remote Engineering and Virtual Instrumentation, Springer Nature , 2023, p. 811-822Conference paper, Published paper (Refereed)
Abstract [en]

Learning Analytics (LA) is an established field of research and practice. Yet, there is still scarce evidence of LA on improved learning and teaching. In this regard, researchers highlight a need to involve not only students but also teachers in the development of LA systems to ensure that LA is implemented effectively. Earlier research has pointed out several ethical issues that are important to consider when designing and using LA services. Ethics are interrelated with stakeholders’ values since the values represent things that are seen as important to individuals. These values are rarely considered when designing LA systems; it is problematic since it may influence the design and the implementation of effective LA solutions in a negative way. The aim of this study is therefore to explore which values teachers consider important in relation to LA systems to be used in higher education. The selected and adapted set of envisioning cards was used during an online workshop with 11 teachers. The results indicate that there are several critical values that are important for teachers in relation to LA systems, including variation, personalization, flexibility, insight, transparency, efficiency, and trust. By taking these values into consideration when designing LA systems, teachers’ needs can be better met in the setting of higher education.

Place, publisher, year, edition, pages
Springer Nature , 2023. p. 811-822
Keywords [en]
Envisioning cards, Learning analytics, Value sensitive design
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-342400DOI: 10.1007/978-3-031-42467-0_77Scopus ID: 2-s2.0-85181822387OAI: oai:DiVA.org:kth-342400DiVA, id: diva2:1828916
Conference
20th International Conference on Remote Engineering and Virtual Instrumentation: Open Science in Engineering, REV 2023 co-organized with the International Edunet World Conference, IEWC 2023, Thessaloniki, Greece, Mar 1 2023 - Mar 3 2023
Note

QC 20240122 Part of ISBN 9783031424663

Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2025-02-18Bibliographically approved

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Viberg, Olga

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CiteExportLink to record
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