Definition of a Learning Analytics Ecosystem for the ILEDA Project Piloting
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. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Affiliations
Robotics Research Group, Engineering School, University of León, León, 24071, Spain; Faculty of Mathematics and Informatics, Sofia University, Sofia, Bulgaria; School of Computing, University of Eastern Finland, Joensuu Campus, Joensuu, Finland; Faculty of Information Technology, Belgrade Metropolitan University, Tadeuša Košćuška 63, Belgrade, 11000, Serbia