This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Real-world expertise, collaborative teaching, and student engagement fuel the Enterprise Risk Management program at Columbia SPS, writes part-time lecturer Ben Perlman.

When was the last time you sat down and tried to learn something? How did you approach it? Did you make flashcards for ...

Can one truly understand what “flower” means without smelling a rose, touching a daisy or walking through a field of ...

This study proposes a conceptual model that could predict how customers' engagement in video games influences them to learn through observing the models shown in the video games, which further impacts ...

Observational causal inference is useful for decision-making in medicine when randomized clinical trials (RCTs) are infeasible or nongeneralizable. However, traditional approaches do not always ...

Under social observation, participants who were previously less prosocial exhibited increased prosocial learning. In contrast, those who were already more prosocial showed no significant changes in ...

Observational learning data were also very positive with all participants. As a result, it can be said that video modeling was effective in teaching sociodramatic play skills to children with autism.

In this article, we'll explore the definition of learning, delve into the intricate processes involved, and discover the various types of learning that occur throughout your lifetime.

Causal inference has been increasingly essential in modern observational studies with rich covariate information. However, it is often challenging to estimate the causal effect with high-dimensional ...