In the evolving digital education landscape, Learning Analytics (LA) has emerged as a powerful tool for enhancing student learning experiences and outcomes. By leveraging data collected from digital platforms, LA provides insights that help educators and students understand and optimise learning processes. Particularly, Student-Facing Learning Analytics (SFLA) represents a dynamic shift towards engaging students directly with their own learning data. This magazine provides practical stories, outlines the benefits and challenges of SFLA, and looks ahead to the future possibilities of these technological advancements.
What
This second learning analytics magazine, “Supporting students with learning analytics. Practitioner stories, benefits and challenges, and future outlook,” focuses on Student-Facing Learning Analytics (SFLA), where students gain insights into their learning data through tools like dashboards. Access the first learning analytics magazine here. Do you have feedback or your own practitioner story? Join the discussion on the community platform (in Dutch).
For whom
Educational professionals in mbo, hbo and wo
Type of Knowledge Product
Magazine
Summary
Student-Facing Learning Analytics (SFLA) aims to provide students with new insights by directly involving them in their own learning process through dashboards and other tools. This magazine offers practical stories, describes the most common applications, and discusses both the benefits and challenges of SFLA. It shares success stories from the literature and current insights from interviews with researchers and educational professionals. The magazine concludes with a look at the future of SFLA and the potential integration of generative AI like ChatGPT, which could help improve student learning processes.