Learning progressions (LPs) are theoretical models of how learners develop expertise in a domain over extended periods of time. Recent policy reports have touted LPs as a promising approach to ...

We present a dynamic model of a monopolist making decisions on price, production, process improvement, and quality assurance efforts. The model is comprehensive and captures the effects of autonomous ...

Researchers have tended to study either the trajectory of lifelong mastery, where learning can appear as a steady, gradual process, or the effects of practice in short, repeated bouts.

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 ...

Experiential Learning Theory (ELT) views learning as a holistic process of human adaptation (Kolb and Kolb, 2017). In understanding learning in this way, it begs us to de-contextualize learning, to ...

American Fidelity combined DataRobot and UiPath technologies to combine automated machine learning and robotic process automation.

The ability to find otherwise undetectable patterns in complex data with minimal operator intervention makes AI systems an ideal fit for manufacturing operations.