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

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 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 ...

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

Ömer Delialioğlu, Student Engagement in Blended Learning Environments with Lecture-Based and Problem-Based Instructional Approaches, Educational Technology & Society, Vol. 15, No. 3, Learning and ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.