  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.
