Using a generative AI chatbot for SRL measurement and intervention

This paper introduces a recently started research thesis proposal for a doctoral consortium. In recent years, identifying students at risk of dropping out or failing has become a main issue, mainly in the first year of university studies. To attain this problem, this piece of research focuses on supporting the development of students’ Self-Regulated Learning (SRL) skills. It proposes the development and evaluation of a diagnostic and supporting tool providing help to resolve students’ weaknesses in the learning process. The proposal is intended to exploit the capabilities of nowadays conversational agents with generative artificial intelligence (AI) technologies to approach the measurement and development of SRL skills in a more effective and efficient way. The paper includes a review of related works on existing solutions to measure and promote the development of SRL skills, identifying key problems related to the lack of student involvement and participation. The design-based scientific research (DSR) methodology for tool development is chosen and approximate task planning is premeditated.