This study explores the impact of Large Language Models (LLMs) in higher
education, focusing on an automated oral examination simulation using a
prototype. The design considerations of the prototype are described, and the
system is evaluated with a select group of educators and students. Technical
and pedagogical observations are discussed. The prototype proved to be
effective in simulating oral exams, providing personalized feedback, and
streamlining educators' workloads. The promising results of the prototype show
the potential for LLMs in democratizing education, inclusion of diverse student
populations, and improvement of teaching quality and efficiency.

本研究探讨了大型语言模型在高等教育中的影响，重点是通过原型实现自动口试模拟。描述了原型的设计考虑，并对教育工作者和学生进行了评估。讨论了技术和教育观察结果。该原型在模拟口试、提供个性化反馈和简化教育工作者工作量方面表现出了良好的效果。原型的有 promising 结果显示了大型语言模型在普及教育、包容多样化学生群体以及提高教学质量和效率方面的潜力。