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Building an institutional AI Learning Tutor: A case study on supporting flipped classroom in a business school Cover

Building an institutional AI Learning Tutor: A case study on supporting flipped classroom in a business school

Open Access
|Sep 2025

Abstract

This experience presents the design, implementation, and evaluation of an institutional AI Learning Tutor to support undergraduate students' learning within a flipped classroom approach in business school settings. The study begins by presenting the theoretical foundations regarding the role of AI learning assistants in higher education and their potential contributions to the flipped classroom model. It then details the design and implementation process of the AI Learning Tutor for the cohort of 353 students followed by an evaluation of its impact and student feedback. The findings highlight the benefits and challenges of integrating AI-driven learning assistants in educational settings, emphasizing the importance of pedagogical goals, responsible use of AI for learning and institutional strategy.

DOI: https://doi.org/10.5334/uproc.186 | Journal eISSN: 2631-5602
Language: English
Published on: Sep 3, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2025 Irina Otmanine, Denys Giordano, Frederic Munier, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.