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Teachers’ Expectations of Learning Analytics from a Value-based Perspective
Mid Sweden University, Faculty of Science, Technology and Media, Department of Communication, Quality Management, and Information Systems (2023-). (Software Engineering and Engineering Education)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Communication, Quality Management, and Information Systems (2023-). (Software Engineering and Engineering Education)ORCID iD: 0000-0003-4153-5549
KTH.
2023 (English)In: REV2023 01–03 March, 2023, Porto Palace Hotel, Thessaloniki, Greece / [ed] Michael E. Auer, Reinhard Langmann, Thrasyvoulos Tsiatsos, Cham: Springer, 2023Conference paper, Published paper (Refereed)
Abstract [en]

Learning Analytics (LA) is an established field of research and prac-tice. 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 im-portant to consider when designing and using LA services. Ethics are interrelated with stakeholders’ values since the values represent things that are seen as im-portant to individuals. These values are rarely considered when designing LA systems; it is problematic since it may influence the design and the implementa-tion 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
Cham: Springer, 2023.
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:miun:diva-48566DOI: 10.1007/978-3-031-42467-0_77Scopus ID: 2-s2.0-85181822387ISBN: 978-3-031-42466-3 (print)ISBN: 978-3-031-42467-0 (print)OAI: oai:DiVA.org:miun-48566DiVA, id: diva2:1772299
Conference
20th International Conference on Remote Engineering and Virtual Instrumentation, REV2023, Thessaloniki, Greece, 01–03 March, 2023
Available from: 2023-06-21 Created: 2023-06-21 Last updated: 2024-03-05Bibliographically approved

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Lundström, NicoleÖberg, Lena-Maria

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