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Integration of AI Learning into Higher Education: A Case of Using Microsoft Learn for Educators

  • Shao-Fu Li,
  • Kwan-Keung Ng,
  • Lap-Kei Lee

摘要

The integration of AI Learning into modern higher education has become a prevailing trend. Maintaining a student-centered approach to AI teaching is vital, considering students’ interests and needs to enhance engagement. Continuous updating of AI course materials is necessary to keep pace with the ever-changing AI field. Microsoft Learn for Educators (MSLE) offers valuable AI courseware, enabling non-IT teachers to incorporate AI content into classes. This paper presents a case of how MSLE can be used for integrating AI Learning into an architectural computer graphics course at a Taiwan University, which details a revised implementation process and experience spanning from the academic year 2019–2020 to the present, and proposes a course plan for the upcoming academic term. The case sharing in this paper is expected to facilitate education practitioners without an IT background to integrate AI content into their curricula, which helps equip students with the necessary AI knowledge and skills for the AI-driven future.