University Teaching

University teaching is undergoing significant transformation driven by the integration of artificial intelligence, particularly large language models like GPT. Current research focuses on leveraging AI for tasks such as automating feedback analysis from student evaluations and supporting both instructors and students in content creation and assessment. Key concerns revolve around the ethical implications of AI use, including student plagiarism and the need for robust detection methods, prompting the development of comprehensive AI education policies and frameworks for universities. These advancements aim to improve teaching effectiveness and student learning outcomes while addressing the challenges posed by this rapidly evolving technology.