LeAP – Learning Analytics Profiles
LeAP (Learning Analytics Profiles) aims to integrate a holistic and sustainable learning analytics solution into the existing systems of the University of Mannheim. The goal is to support learning and teaching processes as well as quality assurance at the University of Mannheim.
The individual components of the LeAP system were developed modularly and consist of a stand-alone core system that acts as a data store and several smaller adapters that are integrated into the ILIAS platform. These adapters work similarly to Google Analytics or Piwik, collecting user movements in the integrated systems and forwarding them to the LeAP core system (Klasen & Ifenthaler, 2019).
In order to meet the high-security requirements for using LeAP, the respective personal data are pseudonymized (Klasen & Ifenthaler, 2019). No conclusions can be drawn about the specific person via the sole access to the database. However, further personal information (e.g., grades, socio-demographic data, psychological inventories) can still be assigned to the same pseudonym.
Publications in the Context of Learning Analytics
Ifenthaler, D. (2021). Learning analytics for school and system management. In OECD (Ed.), OECD digital education outlook 2021: pushing the frontiers with artificial intelligence, blockchain and robots (pp. 161–172). OECD Publishing.
Ifenthaler, D., & Greiff, S. (2021). Leveraging learning analytics for assessment and feedback. In J. Liebowitz (Ed.), Online learning analytics (pp. 1–18). Auerbach Publications. https://doi.org/10.1201/9781003194620
Ifenthaler, D., Gibson, D. C., Prasse, D., Shimada, A., & Yamada, M. (2021). Putting learning back into learning analytics: actions for policy makers, researchers, and practitioners. Educational Technology Research and Development, 69(4), 2131–2150. https://doi.org/10.1007/s11423-020-09909-8
Ifenthaler, D., & Yau, J. (2021). Learning Analytics zur Unterstützung von Lernerfolg. Zeitschrift für Berufs- und Wirtschaftspädagogik, Beiheft 31, 215–235.
Schumacher, C., & Ifenthaler, D. (2021). Investigating prompts for supporting students' self-regulation – A remaining challenge for learning analytics approaches? The Internet and Higher Education, 49, 100791. https://doi.org/10.1016/j.iheduc.2020.100791
Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics to support study success in higher education: a systematic review. Educational Technology Research and Development, 68(4), 1961–1990. https://doi.org/10.1007/s11423-020-09788-z
Yau, J., & Ifenthaler, D. (2020). Reflections on different learning analytics indicators for supporting study success. International Journal of Learning Analytics and Artificial Intelligence for Education, 2(2), 4–23. https://doi.org/10.3991/ijai.v2i2.15639
Ifenthaler, D., & Drachsler, H. (2020). Learning Analytics. In H. M. Niegemann & A. Weinberger (Eds.), Lernen mit Bildungstechnologien (pp. 515–534). Springer.
Ifenthaler, D. (2020). Change management for learning analytics. In N. Pinkwart & S. Liu (Eds.), Artificial intelligence supported educational technologies (pp. 261–272). Springer.
Ifenthaler, D. (2020). Learning Analytics im Hochschulkontext – Potenziale aus Sicht von Stakeholdern, Datenschutz und Handlungsempfehlungen. In R. A. Fürst (Ed.), Digitale Bildung und Künstliche Intelligenz in Deutschland. Nachhaltige Wettbewerbsfähigkeit und Zukunftsagenda (pp. 519–535). Springer.
Ifenthaler, D. (2020). Supporting higher education students through analytics systems. Journal of Applied Research in Higher Education, 12(1), 1–3. https://doi.org/10.1108/JARHE-07-2019-0173
Ifenthaler, D., & Gibson, D. C. (Eds.). (2020). Adoption of data analytics in higher education learning and teaching. Springer.
Gibson, D. C., & Ifenthaler, D. (2020). Adoption of learning analytics. In D. Ifenthaler & D. C. Gibson (Eds.), Adoption of data analytics in higher education learning and teaching (pp. 3–20). Springer.
Schumacher, C., Klasen, D., & Ifenthaler, D. (2019). Implementation of a learning analytics system in a productive higher education environment In M. S. Khine (Ed.), Emerging trends in learning analytics (pp. 177–199). Brill.
Nouri, J., Ebner, M., Ifenthaler, D., Saqr, M., Malmberg, J., Khalil, M., Viberg, O., Bruun, J., Conde González, M. A., Papamitsiou, Z., & Berthelsen, U. D. (2019). Efforts in Europe for data-driven improvement of education: A review of learning analytics research in seven countries. International Journal of Learning Analytics and Artificial Intelligence for Education, 1(1), 8–27. https://doi.org/10.3991/ijai.v1i1.11053
Ifenthaler, D., Yau, J. Y.-K., & Mah, D.-K. (Eds.). (2019). Utilizing learning analytics to support study success. Springer.
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). Springer. https://doi.org/10.1007/978-3-319-64792-0_4
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. https://doi.org/10.3991/ijai.v1i1.10978
Ifenthaler, D., & Schumacher, C. (2019). Releasing personal information within learning analytics systems. In D. G. Sampson, J. M. Spector, D. Ifenthaler, P. Isaias, & S. Sergis (Eds.), Learning technologies for transforming teaching, learning and assessment at large scale (pp. 3–18). 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). Springer.
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. https://doi.org/10.1007/s12528-018-9188-y
Schumacher, C., & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior, 78, 397–407. https://doi.org/10.1016/j.chb.2017.06.030
Ifenthaler, D., Greiff, S., & Gibson, D. C. (2018). Making use of data for assessments: harnessing analytics and data science. In J. Voogt, G. Knezek, R. Christensen, & K.-W. Lai (Eds.), International handbook of IT in primary and secondary education (2 ed., pp. 649–663). Springer.
Ifenthaler, D., Gibson, D. C., & Dobozy, E. (2018). Informing learning design through analytics: Applying network graph analysis. Australasian Journal of Educational Technology, 34(2), 117–132. https://doi.org/10.14742/ajet.3767
Ifenthaler, D. (2017). Are higher education institutions prepared for learning analytics? TechTrends, 61(4), 366–371. https://doi.org/10.1007/s11528-016-0154-0
Ifenthaler, D., & Schumacher, C. (2016). Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64(5), 923–938. https://doi.org/10.1007/s11423-016-9477-y
Ifenthaler, D. (2015). Learning analytics. In J. M. Spector (Ed.), The SAGE encyclopedia of educational technology (Vol. 2, pp. 447–451). Sage.
Ifenthaler, D., & Widanapathirana, C. (2014). Development and validation of a learning analytics framework: Two case studies using support vector machines. Technology, Knowledge and Learning, 19(1–2), 221–240. https://doi.org/10.1007/s10758-014-9226-4