Paper Title
A Mapping of Human Learning Principles to Machine Learning Strategies
Abstract
This paper presents an analysis of human learning principles that can be useful for machine learning. We compile
representative tutoring and learning principles from education literature as they indicate how good student learners control
their learning processes. We map them to existing meta-learning approaches where they share similar issues. We also
identify areas that we can further improve based on the mappings.
Keywords - Human Learning Principles, Machine Learning Strategies