From Machine Learning to Human Learning: What Can Pedagogy Learn from AI Successes

Abstract

Many machine learning techniques - including many techniques behind the current AI-based boom in machine learning - come from the analysis of successful human learning strategies (and researchers expect that other human learning experiences can lead to even more effective AI-based systems). At this moment, so much experience have been accumulated in AI-based machine learning that it is time to start the analysis in the opposite direction - to see what can human-based pedagogy learn from AI successes. In this chapter, we provide the first results of such an analysis - some of which go somewhat against the current pedagogical wisdom. © 2025 River Publishers. All rights reserved.