THE SERGIO BLANCO STUDY: EVALUATING CREATIVE WORK THROUGH AI

The methodology outlined in this paper proposes a structured and replicable framework for incorporating AI-assisted evaluation tools into educational contexts characterized by creative expression and artistic inquiry. Over a four-month case-study at the Rome Fine Arts Academy, twenty-five students engaged with Sergio Blanco’s theatrical monologue, Memento Mori, using it as inspiration to develop individual artistic performances as the objective of an academic course. In the days following their performances, each student individually documented their creative process and outcomes by creating a final multimedia exposition—a structured presentation integrating text, images, audio, and video. The textual components of each student's document were analyzed through the AI platform °’°Kobi, which provided insights into thematic coherence with Blanco’s original work and assessed originality among the students' artistic research presented in their final document. Preliminary findings indicate participant engagement suggesting the collection of insightful data to gauge the potential for AI to support instructors in effectively evaluating creative assignments in higher education settings. The paper concludes by addressing methodological limitations, outlining immediate next steps for data analysis, and identifying future directions for continued research in AI-assisted evaluation.