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Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (EdTechLnu;DISA;CSS)ORCID iD: 0000-0002-3297-0189
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Linnaeus University, Linnaeus Knowledge Environments, Digital Transformations. (EdTechLnu;DISA;CSS)ORCID iD: 0000-0002-3738-7945
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA;CSS)ORCID iD: 0000-0002-2901-935X
2023 (English)In: DCECTEL 2023 Doctoral Consortium of ECTEL 2023: Proceedings of the Doctoral Consortium of the 18th European Conference on Technology Enhanced Learning (DCECTEL 2023)co-located with the 18th European Conference on Technology Enhanced Learning (EC-TEL 2023)Aveiro, Portugal, 4-8 September 2023 / [ed] Daniele Di Mitri, Alejandro Ortega-Arranz, Oleksandra Poquet, Technical University of Aachen , 2023, , p. 6p. 12-17Conference paper, Published paper (Refereed)
Abstract [en]

Visual Learning Analytics (VLA) tools (such as dashboards) serve as a centralized hub for monitoring and analyzing educational data. Dashboards can assist teachers in data-informed pedagogical decision-making and/or students in following their own learning progress. However, the design of VLA tools should include features of trust in order to make analytics overt among its users. In this study, we propose a framework for the development of VLA tools from beginning to end that describes how we intend to develop the digital and technical infrastructure in our project for teachers. With that aim, we offer one scenario describing how data is managed, transferred, analyzed, and visualized by teachers. The suggested framework intends to make it easier for developers to understand the various steps involved in co-designing and developing a reliable VLA tool and to comprehend the importance of the teacher’s participation in design. VLA tools developed based on the proposed framework have the potential to assist teachers in understanding and analyzing educational data, monitoring students’ learning paths based on their learning outcomes and activities, simplifying regular tasks, and giving teachers more time to support teaching/learning and growth.

Place, publisher, year, edition, pages
Technical University of Aachen , 2023. , p. 6p. 12-17
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3539
Keywords [en]
Visual Learning Analytics Tool, Scenario-based Development, VLA Development Framework, Educational Data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-125545Scopus ID: 2-s2.0-85178303190OAI: oai:DiVA.org:lnu-125545DiVA, id: diva2:1810464
Conference
Doctoral Consortium of the 18th European Conference on Technology Enhanced Learning (DCECTEL 2023), Aveiro, Portugal, 4-8 September 2023
Available from: 2023-11-08 Created: 2023-11-08 Last updated: 2025-02-11Bibliographically approved

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Mohseni, ZeynabMasiello, ItaloMartins, Rafael Messias

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CiteExportLink to record
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Citation style
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