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Computers as Metacognitive Tools for Enhancing Learning
First published in 2005. This Volume 40, No 4 of Autumn 2005 of the Educational Psychologist. The articles appearing in this special issue of Educational Psychologist reflect a growing interest by researchers from various fields in examining the use of computers as metacognitive tools for enhancing learning. This topic has become increasingly important as computer-based learning environments become ubiquitous and students use them extensively both in and out of school to learn about conceptually rich domains.
Intelligent Tutoring Systems
This book constitutes the proceedings of the 14th International Conference on Intelligent Tutoring Systems, IST 2018, held in Montreal, Canada, in June 2018. The 26 full papers and 22 short papers presented in this volume were carefully reviewed and selected from 120 submissions. In the back matter of the volume 20 poster papers and 6 doctoral consortium papers are included. They deal with the use of advanced computer technologies and interdisciplinary research for enabling, supporting and enhancing human learning.
International Handbook of Metacognition and Learning Technologies
Education in today's technologically advanced environments makes complex cognitive demands on students pre-learning, during, and post-learning. Not surprisingly, these analytical learning processes--metacognitive processes--have become an important focus of study as new learning technologies are assessed for effectiveness in this area.Rich in theoretical models and empirical data, the International Handbook of Metacognition and Learning Technologies synthesizes current research on this critical topic. This interdisciplinary reference delves deeply into component processes of self-regulated learning (SRL), examining theories and models of metacognition, empirical issues in the study of SRL, a...
Unobtrusive Observations of Learning in Digital Environments
This book integrates foundational ideas from psychology, immersive digital learning environments supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behavior and emotion factors in digital learning experiences. New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into service to better understand higher-order thinking capacities such as self-regulation, collaborative problem-solving and social construction of knowledge. As a result, this edited volume presents a collection of indicators or measurements focusing on learning processes and related behavior, (meta-)cognition, emotion and motivation, as well as social processes. In addition, each section of the book includes an invited commentary from a related field, such as educational psychology, cognitive science, learning science, etc.
Contemporary Pioneers in Teaching and Learning
A volume in Contemporary Pioneers in Educational Psychology: Theory, Research, and Applications Series Editor: Hefer Bembenutty, Queens College of the City University of New York This volume traces the socialization processes, professional development, career paths, and theories and research of contemporary pioneers in education and psychology. This volume contains interviews of leading scholars who are at the vanguard of teaching and learning. They shared how their childhood development influenced their theoretical paths and research endeavors and revealed their thoughts, beliefs, and experiences that made them who they are today. These scholars responded to questions pertaining to their ch...
Handbook of Self-Regulation of Learning and Performance
Self-regulated learning (or self-regulation) refers to the process whereby learners personally activate and sustain cognitions, affects, and behaviours that are systematically oriented toward the attainment of learning goals. This is the first volume to integrate into a single volume all aspects of the field of self-regulation of learning and performance: basic domains, applications to content areas, instructional issues, methodological issues, and individual differences. It draws on research from such diverse areas as cognitive, educational, clinical, social, and organizational psychology. Distinguishing features include: Chapter Structure – To ensure uniformity and coherence across chapt...
The Cambridge Handbook of Multimedia Learning
The updated second edition of the only handbook to offer a comprehensive analysis of research and theory in the field of multimedia learning, or learning from words and images. It examines research-based principles to determine the most effective methods of multimedia instruction and uses cognitive theory to explain how these methods work.
Artificial Intelligence in Education
This publication covers papers presented at AIED2009, part of an ongoing series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. The conference provides opportunities for the cross-fertilization of techniques from many fields that make up this interdisciplinary research area, including: artificial intelligence, computer science, cognitive and learning sciences, education, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which AIED systems have been designed and evaluated. AIED2009 focuses on the theme "Building learning...
Handbook of Design in Educational Technology
The Handbook of Design in Educational Technology provides up-to-date, comprehensive summaries and syntheses of recent research pertinent to the design of information and communication technologies to support learning. Readers can turn to this handbook for expert advice about each stage in the process of designing systems for use in educational settings; from theoretical foundations to the challenges of implementation, the process of evaluating the impact of the design and the manner in which it might be further developed and disseminated. The volume is organized into the following four sections: Theory, Design, Implementation, and Evaluation. The more than forty chapters reflect the international and interdisciplinary nature of the educational technology design research field.
