Integrating an Intelligent Tutoring Chatbot into Higher Education: The Case of Teaching Declarative Process Modeling through Generative AI

This paper presents a case study on the classroom use of an intelligent tutoring chatbot designed to support teaching Declarative Process Modeling within a master’s-level course. Replacing traditional lectures, the chatbot delivered interactive, task-based modules with real-time feedback and conversational support. Across three design iterations, we collected and analyzed student feedback, system usage data, and survey responses to examine how learners engaged with the chatbot, what challenges they encountered, and how their input informed system refinement. Students used the chatbot to self-regulate their learning, frequently asked clarifying questions, and responded critically to feedback. Their contributions shaped improvements in instructional clarity and usability. The findings demonstrate the potential of Generative AI to enable adaptive, student-centered learning experiences in higher education when thoughtfully integrated into course design.