Abstract
Understanding how students progress in their learning is an important step towards achieving the success of the educational process. One way of understanding student progress is by using learning analytics methods on different student data. The ILEDA project aims to improve online and blended learning by using educational data analytics. For this purpose, the project involves four universities from four different countries and develops several activities. One of these activities. That aims to facilitate the analysis of student progress, is the definition of a Learning Analytics Ecosystem. The aim of defining the ecosystem is to generate solutions that will benefit all institutions and that will allow to look for possible patterns and common issues needing addressing. This paper describes the development of such an ecosystem and its future implementations.
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Acknowledgements
Research presented in this paper is supported by the project “Improving online and blended learning with educational data analytics” ILEDA - 2021–1-BG01-KA220-HED-000031121.
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Conde, M.Á. et al. (2023). Definition of a Learning Analytics Ecosystem for the ILEDA Project Piloting. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2023. Lecture Notes in Computer Science, vol 14040. Springer, Cham. https://doi.org/10.1007/978-3-031-34411-4_30
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DOI: https://doi.org/10.1007/978-3-031-34411-4_30
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