Junior Research Group: Needs-oriented AI-Coaching for Students (NAIC)

Within this research group, we are investigating the use and efficacy of AI-driven coaching methodologies in higher education. The primary focus is on exploring and developing intelligent and adaptive conversational agents to enable tailored learning journeys and personalized coaching support.
There is a widely shared consensus that AI technologies, particularly adaptive learning systems and the personalized delivery of optimized learning content, have the potential to enhance learning success. However, there is currently a lack of sound empirical studies on the use and impact of AI technologies in higher education — a gap that our research seeks to address.
AI research in this research group is application-oriented, adhering to the human-centered design process and placing a strong emphasis on the diverse profiles of our target audience. This includes their sensory and cognitive (learning) abilities, as well as the scope of their individual and mental resources.

Current  Projects

• PHD Project: AI-based mental health support for students - Multimodal delivery of personalized exercises and content to support the mental health of users through conversational agent-based CBT
• PHD Project: Investigating the impact of generative language models on students' learning.