This book highlights new scientific research about how people learn, including interdisciplinary perspectives from neuroscience, the social, cognitive and behavioural sciences, education, computer and information sciences, artificial intelligence/machine learning, and engineering. These new developments offer fascinating new perspectives, based on…

Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…

Explores some speculative hypotheses on states of knowing and learning, and how these states and processes might be applied to artificial intelligence and expert systems development. (JKP)

This paper explores the thesis that advances in computer applications and artificial intelligence have important implications for the study of development and learning in psychology. Current approaches to the use of computers as devices for problem solving, reasoning, and thinking--i.e., expert systems and intelligent tutoring systems--are…