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A student-centered learning analytics dashboard towards course goal achievement in STEM education
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-8543-3774
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0001-5634-8960
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-4616-189X
2023 (English)In: Responsive and Sustainable Educational Futures: 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Proceedings, Springer Nature , 2023, p. 698-704Conference paper, Published paper (Refereed)
Abstract [en]

Online learning has become an everyday form of learning for many students across different disciplines, including STEM subjects in the setting of higher education. Studying in these settings requires students to self-regulate their learning to a higher degree as compared to campus-based education. A vital aspect of self-regulated learning is the application of goal-setting strategies. Universities act to support students’ goal-setting through the achievement of course learning outcomes, which work both as a promise and metric of academic achievement. However, a lack of clear integration between course activities and course learning outcomes leaves a dissonance between students’ study efforts and the course progress. This demo study presents a student-centered learning analytics dashboard aimed at assisting students in their achievement of course learning goals in the setting of STEM higher education. The dashboard was designed using a design science methodological approach. Thirty-seven students have contributed to its development and evaluation during different stages of the design process, including the conceptual iterative design and prototyping. The preliminary results show that students found the tool to be easy to use and useful for the achievement of the course goals.

Place, publisher, year, edition, pages
Springer Nature , 2023. p. 698-704
Keywords [en]
Learning Analytics Dashboard, Learning Outcomes, Participatory Design, STEM Higher Education
National Category
Didactics Learning Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-337821DOI: 10.1007/978-3-031-42682-7_64Scopus ID: 2-s2.0-85171977964OAI: oai:DiVA.org:kth-337821DiVA, id: diva2:1803510
Conference
Proceedings of the 18th European Conference on Technology Enhanced Learning, ECTEL 2023, Aveiro, Portugal, Sep 4 2023 - Sep 8 2023
Note

Part of ISBN 9783031426810

QC 20231009

Available from: 2023-10-09 Created: 2023-10-09 Last updated: 2023-10-12Bibliographically approved

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Buvari, SebastianViberg, OlgaIop, AlessandroRomero, Mario

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School of Electrical Engineering and Computer Science (EECS)Media Technology and Interaction Design, MIDComputational Science and Technology (CST)
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