Analysis and Design Project on Learning Analytics (LA) at TU Darmstadt

How can we use data from digital tools and platforms used in teaching and learning to improve teaching and learning at TU Darmstadt? What does this require? This is the subject of the analysis and design project on learning analytics at TU Darmstadt.

Background to the project

The use of digital tools and platforms in studying and teaching is part of everyday life at TU Darmstadt. Students use TUCaN (opens in new tab) to register for their modules, courses and examinations and to check their grades. Using Moodle, they can access learning materials, communicate with fellow students, submit assignments and regularly check their level of knowledge through quizzes. Lecturers can provide video recordings of lectures via Panopto, embedded in Moodle, to support preparation and follow-up work. Data is constantly generated when these services are used. Digital traces are created.

Learning Analytics (LA) refers to the systematic collection, analysis and interpretation of such learning data with the aim of supporting teaching and learning processes.

The basic idea is not only to draw retrospective conclusions from the data, but also to enable proactive or immediate interventions, for example through feedback, suggestions or adjustments to teaching concepts or learning processes.

Brief description of the project

The project aims to explore needs, challenges and opportunities of data-driven analyses to support teaching and learning processes at TU Darmstadt. Key elements include pilot projects in courses and various exchange formats involving a wide range of stakeholder groups at TU Darmstadt.

The goal is to:

Develop clear recommendations on how Learning Analytics could be designed and implemented at TU Darmstadt and which resources would be required. These recommendations are intended to form the basis for subsequent project activities, such as concrete technical implementations, combined with corresponding training opportunities

Key information: