STELA is an acronym for “Successful Transition from secondary to higher Education using Learning Analytics”.
The project is funded by Erasmus+ (562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD).
The main goal of the project was to enhance a successful transition from secondary to higher education by means of learning analytics. To this end the project developed, tested, and deployed a learning analytics approach that focuses on providing formative and summative feedback to students in the transition. On top of the development of student dashboards, the project also focused on how to support teachers and student advisers, hereby aiming at improving advising and teaching practices.
To realize this ambitious goal the project gathered a multidisciplinary team of learning analytics researchers, educational technology experts, experts in the transition from secondary to higher education, and practitioners. Thanks to this multidisciplinary team, the project tackled all the different steps required for the application of learning analytics: data collection, data analysis, data visualization, dashboard design, dashboard development, and last but not least the actual implementation and thorough evaluation of the learning analytics approach.
Seven keywords define the particular focus and context of the STELA project,