KNIGHT project

The focus of the KNIGHT project is, on the one hand, the individualisation of student learning processes and the support of professors in their supervisory tasks and, on the other hand, the development of competences that promote the trustworthy and competent use of AI technology.

The project focuses on two topics. How can AI contribute firstly to supporting and assessing learning processes and secondly to supporting teaching activities?

The focus is on implementing existing and new AI approaches with potential for education within and outside HFT Stuttgart. Ethical guidelines ensure transparent processes and thus ensure the responsible handling of sensitive, personal data. The ethical guidelines are based on an ethical foundation of values. In addition, specific AI education programmes are to be established in AI-related technical but also non-technical disciplines. The activities and results will be transferred to economy and society via existing and new networks across universities.

• Development of a digital competence matrix as an orientation framework for the collection and visualisation of learning analytics (LA).
• Creation of data protection and ethical guidelines for data collection and evaluation of personal (student) data to ensure transparency and verifiability and to create trust.
• Investigate the possibilities for AI-based interaction analysis in digital spaces.
• Strengthening AI competence through the early announcement and filling of a professorship from the Department of Surveying with a new denomination in the field of AI.
• Expansion of curricular offerings and (further) development of existing SPOs to strengthen the AI competences of future graduates.
• Reflecting learning success back to the students through an LA platform with integrated AI tools.
• Reflecting the learning success of the students back to the professors in compliance with data protection and ethical rules.
• Development of competence-oriented teaching and learning offers that are individually adapted to the learning progress of the students.
• Expansion of further training measures for comprehensive AI competence for lecturers and university employees.
• Expansion of extracurricular offerings, especially with a focus on ethical AI reflection competence on economic, social, legal and ethical issues.
• AI lecture series as an expansion of the existing ETHIKUM guest lecture and conference series.