A comprehensive model of work-based learning is illustrated combining explicit and tacit forms of knowing and theory and practice modes of learning at both individual and collective levels. The model ...

Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes ...

Nearly every book on reinforcement learning contains a chapter that explains the differences between model-free and model-based reinforcement learning.

New academic standards have drastically changed our expectations for student learning. However, most teachers have never ...

Someday machine learning models may be more ‘glass box‘ than black box. Until then, explainability tools and techniques can help us understand how a black box model makes its decisions.

A Nigerian and PhD student in Applied Mathematics at Mississippi State University, Deborah Okoli, has built an easy-to-understand machine learning system ...