The field of learning analytics (LA) is generating growing interest in data and computer science as well as educational science, hence, becoming an important aspect of modern e-learning environments. However, implementing learning analytics into existing legacy systems in learning environments with high data privacy concerns is quite a challenge. This research shows how a learning analytics application has been implemented into such an existing university environment by adding a plugin to the local digital learning environment which injects user centric information to specific objects within students’ and teachers’ learning environment.
Presentations and publications related to the project
Klasen, D., & Ifenthaler, D. (2019). Implementing learning analytics into existing higher education legacy systems. In D. Ifenthaler, J. Y.-K. Yau, & D.-K. Mah (Eds.), Utilizing learning analytics to support study success (pp. 61–72). New York, NY: Springer.
Schumacher, C., & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior, 78, 397–407. doi:10.1016/j.chb.2017.06.030
Schumacher, C., & Ifenthaler, D. (2018). The importance of students’ motivational dispositions for designing learning analytics. Journal of Computing in Higher Education, 30(3), 599–619. doi:10.1007/s12528-018-9188-y
Ifenthaler, D., & Schumacher, C. (2016). Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64(5), 923–938. doi:10.1007/s11423-016-9477-y
Ifenthaler, D. (2019). Implementation of learning analytics in productive systems. Paper presented at the LEARNTEC, Karlsruhe, BW, Germany, 29-01-2019.