@inproceedings{8e960266365c41f4ba353d065b529975,
title = "Learning analytics dashboards: The past, the present and the future",
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.",
keywords = "Evaluation, Interaction, Learning analytics dashboards, Visualisation",
author = "Katrien Verbert and Xavier Ochoa and {De Croon}, Robin and Dourado, {Raphael A.} and {De Laet}, Tinne",
note = "Funding Information: We would like to thank all the VISLA participants for their great input during the workshop. The authors also gratefully acknowledge the support of the European Commission trough the LALA (Capacity to Use Learning Analytics to Improve Higher Education in Latin America) project Erasmus+ capacity building project (grant no. 586120EPP120171ESEPPKA2CBHEJP). The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. Publisher Copyright: {\textcopyright} 2020 Association for Computing Machinery.; 10th International Conference on Learning Analytics and Knowledge: Shaping the Future of the Field, LAK 2020 ; Conference date: 23-03-2020 Through 27-03-2020",
year = "2020",
month = mar,
day = "23",
doi = "10.1145/3375462.3375504",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "35--40",
booktitle = "LAK 2020 Conference Proceedings - Celebrating 10 years of LAK",
}