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Learning analytics dashboards: the past, the present and the future

Published: 23 March 2020 Publication History

Abstract

Learning analytics dashboards are at the core of the LAK vision to involve the human into the decision-making process. The key focus of these dashboards is to support better human sense-making and decision-making by visualising data about learners to a variety of stakeholders. Early research on learning analytics dashboards focused on the use of visualisation and prediction techniques and demonstrates the rich potential of dashboards in a variety of learning settings. Present research increasingly uses participatory design methods to tailor dashboards to the needs of stakeholders, employs multimodal data acquisition techniques, and starts to research theoretical underpinnings of dashboards. In this paper, we present these past and present research efforts as well as the results of the VISLA19 workshop on "Visual approaches to Learning Analytics" that was held at LAK19 with experts in the domain to identify and articulate common practices and challenges for the domain. Based on an analysis of the results, we present a research agenda to help shape the future of learning analytics dashboards.

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  • (2025)Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding ChatbotsProceedings of the 15th International Learning Analytics and Knowledge Conference10.1145/3706468.3706545(579-590)Online publication date: 3-Mar-2025
  • (2025)The Difficulty of Achieving High Precision with Low Base Rates for High-Stakes InterventionProceedings of the 15th International Learning Analytics and Knowledge Conference10.1145/3706468.3706477(790-796)Online publication date: 3-Mar-2025
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cover image ACM Other conferences
LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge
March 2020
679 pages
ISBN:9781450377126
DOI:10.1145/3375462
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 March 2020

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Author Tags

  1. evaluation
  2. interaction
  3. learning analytics dashboards
  4. visualisation

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LAK '20

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LAK '20 Paper Acceptance Rate 80 of 261 submissions, 31%;
Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

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  • (2025)Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding ChatbotsProceedings of the 15th International Learning Analytics and Knowledge Conference10.1145/3706468.3706545(579-590)Online publication date: 3-Mar-2025
  • (2025)The Difficulty of Achieving High Precision with Low Base Rates for High-Stakes InterventionProceedings of the 15th International Learning Analytics and Knowledge Conference10.1145/3706468.3706477(790-796)Online publication date: 3-Mar-2025
  • (2025)Designing a classroom-level teacher dashboard to foster primary school teachers’ direct instruction of self-regulated learning strategiesEducation and Information Technologies10.1007/s10639-025-13389-9Online publication date: 31-Jan-2025
  • (2024)A Current Overview of the Use of Learning Analytics DashboardsEducation Sciences10.3390/educsci1401008214:1(82)Online publication date: 11-Jan-2024
  • (2024)Availability, Scalability, and Security in the Migration from Container-Based to Cloud-Native ApplicationsComputers10.3390/computers1308019213:8(192)Online publication date: 9-Aug-2024
  • (2024)Classroom Orchestration in CSCL: Exploring Functions and Visualizations of Teacher DashboardsThe Journal of Korean Association of Computer Education10.32431/kace.2024.27.7.00727:7(63-82)Online publication date: 31-Oct-2024
  • (2024)Applying Kano’s two-factor theory to prioritize learning analytics dashboard features for learning technology designersContemporary Educational Technology10.30935/cedtech/1428616:2(ep496)Online publication date: 2024
  • (2024)Data Storytelling Editor: A Teacher-Centred Tool for Customising Learning Analytics Dashboard NarrativesProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636930(678-689)Online publication date: 18-Mar-2024
  • (2024)Data Storytelling in Learning Analytics? A Qualitative Investigation into Educators’ Perceptions of Benefits and RisksProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636865(167-177)Online publication date: 18-Mar-2024
  • (2024)Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics CycleProceedings of the 14th Learning Analytics and Knowledge Conference10.1145/3636555.3636856(101-111)Online publication date: 18-Mar-2024
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