That’s when we learn to associate one thing with another thing, like the ringing of a bell with food, in the famous example of Pavlov’s dog. The more times we experience the stimulus and the reward, ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Effective learning isn't just about finding the easiest path—it's about the right kind of challenge. Two prominent theories—Desirable Difficulties (DDF) and Cognitive Load Theory (CLT)—offer valuable ...

Getting a sweet treat is socially acceptable after big exams because of the notion that you deserve to be rewarded when you work hard. Reinforcement, associated with behaviorism, is central to ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

In the vibrant tapestry of any classroom, students come equipped with diverse backgrounds, experiences, and unique ways of processing information. As educators, our responsibility lies not only in ...

A study reveals random exploration outperforms focused analysis—shedding scientific light on non-ordinary ways of knowing.

Editor’s note: Each month, Supply Chain Management Review covers a supply chain education topic in The Academy, which appears exclusively on scmr.com on the third Wednesday of each month. If you are ...

Schema fit enables hard ideas to click, learn assimilation vs accommodation and use pattern testing to understand faster ...