STELA – Study Success Utilising Learning Analytics

The aim of the project “Utilizing Learning Analytics for Study Success” is to conduct a systematic review and construct a set of policies for higher education institutions to adopt LA capabilities into their existing learning environments. Precisely, the goals of our project are 1) first to build a systematic review of empirical evidence demonstrating how learning analytics have been successful in facilitating student success in continuation and completion of their university courses both nationally and internationally (focus of this paper), and forming the basis for aim no. 2) to make policy recommendations for the higher education sector in order to accept and implement such systems within institutions.

Selected publications related to the project

Ifenthaler, D., Yau, J. Y.-K., & Mah, D.-K. (Eds.). (2019). Utilizing learning analytics to support study success. New York, NY: Springer.

Ifenthaler, D., Mah, D.-K., & Yau, J. Y.-K. (2019). Utilising learning analytics for study success. Reflections on current empirical findings. In D. Ifenthaler, J. Y.-K. Yau, & D.-K. Mah (Eds.), Utilizing learning analytics to support study success (pp. 27–36). New York, NY: Springer.

Ifenthaler, D., & Yau, J. (2019). Higher education stakeholders’ views on learning analytics policy recommendations for supporting study success. International Journal of Learning Analytics and Artificial Intelligence for Education, 1(1), 28–42. doi:10.3991/ijai.v1i1.10978

Mah, D.-K., Yau, J. Y.-K., & Ifenthaler, D. (2019). Future directions on learning analytics to enhance study success. In D. Ifenthaler, J. Y.-K. Yau, & D.-K. Mah (Eds.), Utilizing learning analytics to support study success (pp. 313–321). New York, NY: Springer.