An exploration of error quotient in multiple contexts
Andrew K. Petersen, Jaime Spacco, Arto Vihavainen · 2015
Data-driven metrics based on students' progress, code or behaviour are touted as a pathway to revolutionizing education. Even simple heuristics, like the recurrence of the same error in subsequent compilations, have the potential to identify students in difficulty, leading to targeted interventions, alterations in teaching, and improved counseling. However, although more complex and effective metrics have been explored in the literature, they have largely been developed and validated in narrow contexts.