The chapters in this collection illustrate how current concepts and principles from various disciplines can be viewed from the perspective of their value to educational process thinking. While not providing specific prescriptions for educational problems, the articles provide relevant experimental and theoretical knowledge has accumulated in many fields including learning theory, cognitive development, motivation, and intellectual abilities and attitudes.

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Describing eight key competences, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the knowledge, skills, and environments that students need to thrive and avoid displacement in today's technology-enhanced culture and workforce. Essential insights into school operations, machine learning, complex training and assessment, and economic challenges round out this cogent, relatable discussion about the imminent evolution of the education sector.

Originally published in 1981, this volume is the edited proceedings of a conference held at the Learning Research and Development Center of the University of Pittsburgh in September 1979. The 15 chapters share a number of common issues. These include the role of contextual influences on lexical access, specific models of lexical access and word pronunciation, speech and visual processes in reading, the role of knowledge in comprehension, and sources of skill difference and skill development.

Originally published in 1981, this volume is the edited proceedings of a conference held at the Learning Research and Development Center of the University of Pittsburgh in September 1979. The 15 chapters share a number of common issues. These include the role of contextual influences on lexical access, specific models of lexical access and word pronunciation, speech and visual processes in reading, the role of knowledge in comprehension, and sources of skill difference and skill development.

The chapters in this collection illustrate how current concepts and principles from various disciplines can be viewed from the perspective of their value to educational process thinking. While not providing specific prescriptions for educational problems, the articles provide relevant experimental and theoretical knowledge has accumulated in many fields including learning theory, cognitive development, motivation, and intellectual abilities and attitudes.

This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less well defined or where student-system interactions are less structured, such as during scenario-based simulation and immersive serious games. In order to address how to expand the reach of adaptive training technology to these domains, leading experts in the field present their work in areas such as student modeling, pedagogical strategy, knowledge assessment, natural language processing and virtual human agents. Several approaches to designing adaptive technology are discussed for both traditional educational settings and professional training domains. This book will appeal to anyone concerned with educational and training technology at a professional level, including researchers, training systems developers and designers.

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Describing eight key competences, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the knowledge, skills, and environments that students need to thrive and avoid displacement in today's technology-enhanced culture and workforce. Essential insights into school operations, machine learning, complex training and assessment, and economic challenges round out this cogent, relatable discussion about the imminent evolution of the education sector.

This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less well defined or where student-system interactions are less structured, such as during scenario-based simulation and immersive serious games. In order to address how to expand the reach of adaptive training technology to these domains, leading experts in the field present their work in areas such as student modeling, pedagogical strategy, knowledge assessment, natural language processing and virtual human agents. Several approaches to designing adaptive technology are discussed for both traditional educational settings and professional training domains. This book will appeal to anyone concerned with educational and training technology at a professional level, including researchers, training systems developers and designers.