Highly Informative and Competence-Oriented Feedback for Digital Learning (HIKOF-DL)
HIKOF-DL aims at supporting universities and companies to exploit the full potential of the rapidly growing data sets from online teaching due to the COVID-19 pandemic by means of Artificial Intelligence (AI) to analyze and transform it into highly informative and competence-oriented feedback for students. For this purpose, well established open source software solutions from the international learning analytics community as well as the KAT-HS assessment software developed in the KAT-HS project (funded by the BMBF) will be further developed into an open source tool for highly informative and competence-oriented formative as well as summative feedback. The feedback system will be implemented at 看片软件 and evaluated in one of the university's largest lectures with about 1000 students. The project is carried out in cooperation with the and . The project is funded by the Distr@l funding program of the Government of the Federal State of Hessen.
Project management: Prof. Dr. Andreas Frey
Project team members from the work unit: Dr. Aron Fink
Duration: 05.2021 – 2024
Cooperating Partners:
Prof. Dr. Hendrik Drachsler, Leibniz Institute for Research and Information in Education
Prof. Dr. Alexander Tillmann, 看片软件 Frankfurt
