This book examines a conceptual framework for studying strategic learning. Topics include interactive learning problem; reinforcement and regret; equilibrium; conditional no-regret learning; prediction, postdiction, and calibration; fictitious play and its variants; Bayesian learning; and...

Artificial intelligence (AI) has expanded to unprecedented proportions in recent decades, penetrating vast areas, including education. The debates on the usefulness of incorporating AI into university education, with its subsequent opportunities and challenges, have captured the attention of the...