Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Computer Science Education | Computer Science and Society

IMPACT

since 2021

The joint project IMPACT promotes the improvement of higher education through the scalable use of artificial intelligence (AI) methods for the (partially) automated analysis of texts. Along the student life cycle, prospective students, first-year students, and students receive text-based, highly informative, and personalized feedback during the orientation and entry phase, during the course of study (formative assessment), and at the conclusion of study achievements (summative assessment). This not only helps to cope with paracurricular study requirements, to promote individual learning goals and self-regulation strategies for future learning, or to reduce uncertainty and excessive demands on students, but also relieves teachers and promotes active engagement with AI-generated feedback by students and teachers.

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