mobile icon
Language and AI in Education
The Language and AI in Education lab works at the interface of computational linguistics and empirical educational research, with a focus on academic and second language acquisition research, the development of effective teaching and learning methods, and the use and evaluation of the developed systems in educational practice as an ecologically valid data source for basic research.
                                       

Projects

ALEE: Adaptive Learning in Economics Education – Phase II

In the first project phase of ALEE, we set ourselves the challenge of designing and developing an adaptive AI-based learning platform for individual support in business lessons. We created a prototype learning platform for a selected subject area with over 700 different tasks of varying complexity and empirically evaluated it in a pilot study in the real world of education.

WoLKE - Where do AI methods offer solutions for didactic challenges? Computational linguistics-based design and evaluation of curriculum-based courses for language and STEM didactics

In the WoLKE project, which is funded by the Baden-Württemberg Ministry of Science, Research and the Arts (MWK), AI methods are specifically analyzed in order to develop technically and didactically suitable teaching-learning formats for use in teacher training. The increasing spread of AI in education and society requires teachers to develop not only technical skills, but also a deep understanding of the ethical and didactic implications of AI tools. Without sound training, there is a risk that AI will be used without reflection, which can lead to unforeseeable consequences in the classroom.