LEarning Analytics and Practices in Systems - aka LEAPS - is a research group led by Prof. Dr Poquet that focuses on the use of learning analytics. Learning analytics refers to the analysis of data from educational environments that can be presented to learners, instructors, or other stakeholders to inform and improve learning and teaching practices. Our research is interdiscplinary and applied. We teach courses in the areas related to educational technology, learning analytics and artificial intelligence in education. For connecting around learning analytics, a consultation, a collaboration, or for joining the group, reach out to us:
Address: Marsstraße 20-22, München, r. 273
Tel. +49 89 289 24384
Office Hours: by Appointment
E-Mail: office.lea@sot.tum.de
Postal address: Arcisstraße 21, 80333 München

>> OUR NEWS <<
12.09. Prof Poquet to present a keynote address at the annual German conferece of educational technology in Aachen, Germany
25.08. We are going to EARLI to present our research as a part of a European symposium on teacher and learning interactions.
20.07. Prof Poquet to present a keynote address at the annual international conference Learning@Scale
21.06. Prof Poquet to deliver inaugural public Skylight lecture on learning analytics at SOT
1.04. An exciting opinion piece co-authored by LEAPS researchers ChatGPT for good? On opportunities and challenges of large language models for education was published
29.03. An opinion paper co-authored by LEAPS researchers on "Harnessing collective intelligence for the future of learning – a co-constructed research and development agenda" got accepted!
22.03. !!! We received a best paper award for our full research paper at the annual international conference Learning Analytics and Knowledge !!! 
17.02. Our empirical journal article co-authored by LEAPS researchers "The benefit of reflection prompts for encouraging learning with hints in an online programming course" was published in The Internet and Higher Education
15.01. Our two full conference papers were published in the Proceedings of the international conference on Learning Analytics and Knowledge: innovative empirical work on using complex dynamical systems approaches to understand log data and an empirical full paper contributing to open science practices in learning analytics, questioning reproducibility and generalizability of content analysis, particularly for automated analysis in educational research.