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 ...

Behaviorism was born from research done by Ivan Pavlov in the late 19th and early 20th centuries. Pavlov’s research into animal digestion led to the recognition that the animals that were being ...

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 ...

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 ...

In earlier parenting days, my family often passed car-ride time by playing One-Word Story. Each passenger sequentially contributed a single word to an evolving story. While the Pulitzer committee has ...

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 ...

Experiential learning has been used extensively and is popular in education (Bradford, 2019; Hoover & Whitehead, 1975). Experiential learning theory is reflected in the work of several scholars "John ...

As marketing director of Attensi, Anthony Wong helps people learn faster and better by making learning more fun and fruitful. Do you know where you were on June 26, 1997? Probably not. Unbeknownst to ...

Motivation theory has evolved over time as limitations of each new theory have become salient, and new theories are proposed to improve upon the old ones. Since each theory makes sense on its own, it ...