An Exploration of OBE Teaching Practices Driven by Large AI Models

Abstract

The Outcome-Based Education teaching philosophy is an educational approach centred on student-focused learning, employing a reverse-engineering methodology to design curriculum frameworks with learning outcomes as the primary objective. However, this pedagogical approach fails to provide sufficiently concrete descriptions of learning outcomes, which leads to misalignment in understanding between teachers and students. Accordingly, we have reconstructed the OBE teaching model under the guidance of large AI models. This model analyses the supportive role of large AI models in the teaching process across three distinct phases: teaching preparation, teaching implementation, and teaching evaluation. It emphasises how students engage in self-directed learning during project-driven teaching implementation, thereby effectively transferring acquired knowledge to practical work scenarios and enhancing their capacity for critical thinking and issue resolution. Finally, a three-dimensional teaching evaluation mechanism has been established to assess and evaluate learning outcomes in a more objective and comprehensive manner. In order to further validate the new teaching model, we implemented pedagogical reforms in the delivery of the Database Applications and Development course for computer science students, achieving commendable educational outcomes.