AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling

no code implementations • 30 Jun 2018 • Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis

We argue that this work can provide a valuable starting point for a framework of interpretable AI, and as such is of relevance to the application of both knowledge-based and machine learning systems in other high-stakes contexts, beyond education.

BIG-bench Machine Learning Interpretable Machine Learning