The F1 Model for Performance Assessment: Using AI to Assist the Educators of the Future

Higher education institutions (HEI) have widely considered implementing pedagogies that provide academic excellence. In recent years, the role of future educators has attracted attention as the context in which gen z and gen alpha students grew up modified their traits and ways of learning. Therefore, how can HEI provide punctual and precise feedback to educators to meet these learning criteria? This study analyzed categories in which educators perform according to four focal groups: students, supervisors, deans, and training facilitators. The findings provide a robust structure to propose the F1 model for Performance Assessment (F1-MPA). This model runs on data-driven A.I. to visualize the current performance of educators on the go and delivers recommendations based on their scores on each category. The F1-MPA is also adaptable to other industries as it resembles a 360-degree feedback approach.