Introduction
Learning analytics is the collection, analysis, and interpretation of data related to student learning and educational processes. It leverages data from various sources, such as student performance, interactions with learning materials, and engagement with educational technologies, to inform decision-making in academic education.
For students, learning analytics can provide personalized insights into their progress and learning patterns, helping them identify areas for improvement and providing timely interventions to enhance their academic success. It can also aid in setting goals, tracking achievements, and offering tailored recommendations.
For teachers, learning analytics offers valuable information about student and class performance, allowing for more informed instructional adjustments, timely interventions, and personalized support. It enables educators to adapt teaching strategies, improve course design, and enhance overall learning experiences.
Learning analytics at the UT
At our university we are currently exploring the possibility of learning analytics through several pilots. In this we are limited by what data we can get from each source. Unfortunately Canvas, our learning management system, is not an easy source of data, therefore in our pilots we are focussing on the data we can get from external tools like H5P and Xerte.
Interested in Learning Analytics
The pilots we are currently running focus on specific groups and courses. The most important element for us is the educational goal that a teacher wants to achieve using learning analytics. That is the starting point for us from which we design data collection, analysis and interpretation together with the teacher. This has already resulted in some interesting examples as can be seen here.
Contact
For more information you can contact Heleen van der Zaag (h.vanderzaag@utwente.nl) or Peter Groothengel (j.g.p.groothengel@utwente.nl), members of the TELT team.