Abstract
Learning analytics have shown great potential in improving teaching quality, learning experience and administrative efficiency, although several major challenges remain and lie in the intrinsic tensions between innovation and functioning (Tsai Y-S. et al., 2019). The research hypothesis starts from the possibility of exploit LAs into the Quality Assurance (QA) framework and considering the quality assessment devices as a reference for collecting and organizing the data. QA devices can be used to “read” the complexity, define “simplified” processes and arrive at the identification and understanding of the system components, the relationships between them, and their functioning and their effectiveness, also thanks to indicators for measurement of results. On the basis of these reflections, a practice-driven research experience has been implemented within the master course “New digital skills: Open Education, Social and Mobile Learning” of the University of Florence, with the aim of producing new insights and exploring opportunities to exploit LAs into the practice of QA, starting from training of teachers and educators.
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Del Gobbo, G., Galeotti, G. (2022). Learning Analytics to Foster Quality Culture in Education and Training Organizations. In: Ranieri, M., Pellegrini, M., Menichetti, L., Roffi, A., Luzzi, D. (eds) Social Justice, Media and Technology in Teacher Education. ATEE 2021. Communications in Computer and Information Science, vol 1649. Springer, Cham. https://doi.org/10.1007/978-3-031-20777-8_8
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