Ongoing Research Projects
IMPACT
seit 2021
Implementing AI-based feedback and assessment with Trusted Learning Analytics in higher education.
Digitalisierungsbezogene und digital gestützte Professionalisierung von Sport-, Musik- und Kunstlehrkräften (DigiProSMK)
since July 2023
This BMBF-funded project researches the professionalization of sports, music and art teachers with regard to digital media in the classroom. In this context, the research group focuses on the use of immersive media.
DetailsDSSC - Detecting and Supporting Student Creativity in online learning
since 2020
Together with Ben Gurion University and funded by the DFG, we are investigating the question of how creativity can be supported with software in specific subjects. We are developing a software-oriented model for creativity and specific algorithms that evaluate creative learning products as such and then generate suggestions to support the learning process.
LA-DIVA
since 2019
The goal of the project is to investigate the potential of Learning Analytics for supporting adaptive learning in distance education, with a particular focus on the diversity of the learners. This potential will be investigated on the basis of three central issues:
- Diversity-Inspired Adaptive Assessment: Possibilities for adapting the assessments and tasks offered in a concrete learning situation, with respect to three dimensions: selection of task types, parameterization/generation of tasks, and adaptive feedback and solution hints.
- Diversity-Inspired Adaptive Support for Collaborative Learning: Possibilities for supporting dynamic education and reconfiguration of learning groups as well as adaptive support for diverse learning groups on the basis of individual profiles, group profiles, and interaction data.
- Emergence of Student Profiles: Collection and analysis of student data as the basis for a long-term investigation into whether and how the diversity of the student body changes over time in relation to learning-relevant parameters.
HEADT Centre
since 2019
The Humboldt-Elsevier Advanced Data and Text Centre (HEADT Centre) is a research initiative with a focus on research integrity and its various facets. The quality of research, including both raw data and published results, is relevant not only for researchers, but also for students, publishers and their staff, commissions on research misconduct, as well as all people who are affected by research outcomes in daily life. Considering grey zones in measuring the integrity of research plays an important role in this, as does the General Data Protection Regulation (GDPR).
WayIn
since 2018
WayIn is a project funded by the German Ministry for Education and Research (BMBF). In the project, we cooperate with ARBEIT UND LEBEN Berlin e.V. und der KOPF, HAND + FUSS gGmbH. The goal of the project is the creation of an accessible, digital and interactive information platform for employers about hiring people with disabilities.