  Workshop courses designed to foster creativity are gaining popularity.
However, achieving a holistic evaluation that accommodates diverse perspectives
is challenging, even for experienced faculty teams. Adequate discussion is
essential to integrate varied assessments, but faculty often lack the time for
such deliberations. Deriving an average score without discussion undermines the
purpose of a holistic evaluation. This paper explores the use of a Large
Language Model (LLM) as a facilitator to integrate diverse faculty assessments.
Scenario-based experiments were conducted to determine if the LLM could
synthesize diverse evaluations and explain the underlying theories to faculty.
The results were noteworthy, showing that the LLM effectively facilitated
faculty discussions. Additionally, the LLM demonstrated the capability to
generalize and create evaluation criteria from a single scenario based on its
learned domain knowledge.
