This thesis aims to identify how Generative AI can be used to improve feedback and assessment processes in student-dense programming courses in higher education.

This master's thesis investigates how LLMs can adapt museum artefact descriptions to enhance visitor engagement, and explores effective privacy-preserving personalization strategies for accommodating diverse visitor preferences and needs in AI adaptations.

This project investigates user experience and the effectiveness of AI-generated conversational tools, particularly Large Language Models (LLMs), in enhancing comprehension of conceptual subjects in educational contexts, compared to traditional online information retrieval methods, such as websites.

This study explored people’s acceptance of the ChatGPT-assisted CBT, by focussing on people's trust, subjective feelings, performance and level of knowledge acquisition, etc. through collecting and analyzing qualitative data.