AI-DRIVEN THESIS DEFENCE: ENHANCING LEARNING AND ENGAGEMENT THROUGH CHATBOT INTERACTION

Monica Di Domenico, Giovanna Amendola, Alessia Sozio, Pio Alfredo Di Tore

Abstract


The integration of Artificial Intelligence (AI) in education is transforming teaching and learning methodologies, offering new opportunities to personalize the educational experience, provide real-time feedback, and foster active learning, thereby enhancing instructional effectiveness and student engagement (Luckin et al., 2016).

This study examines a case that combines pedagogical principles inspired by constructivism (Bruner, 1996; Vygotsky, 1978) and experiential learning (Papert, 1980) with innovative technologies, resulting in an AI-driven approach that promotes active learning and knowledge construction. The case study under analysis concerns a thesis defense conducted by a chatbot trained by the student herself. The chatbot training process, based on computational storytelling and dialogic interaction, enabled the student to develop a deep and reflective understanding of the content, assuming the dual role of presenter and learner.

The adoption of narrative intelligence and a personalized avatar reinforced the coherence of the presentation, enhanced engagement, and improved overall effectiveness, paving the way for further research and new perspectives on the use of advanced chatbots in higher education and scientific communication.


Keywords


Artificial Intelligence, Higher education, Thesis defense, Chatbot, Narrative intelligence

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DOI: https://doi.org/10.32043/gsd.v9i1.1479

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