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New Perspectives on Affect and Learning Technologies
This monograph integrates theoretical perspectives on affect and learning with recent research in affective computing with an emphasis on building new learning technologies. The "new perspectives" come from the intersection of several research themes: -Basic research on emotion, cognition, and motivation applied to learning environments -Pedagogical and motivational strategies that are sensitive to affective and cognitive processes -Multimodal Human Computer Interfaces, with a focus on affect recognition and synthesis -Recent advances in affect-sensitive Intelligent Tutoring Systems -Novel methodologies to investigate affect and learning -Neuroscience research on emotions and learning
The Oxford Handbook of Affective Computing
The Oxford Handbook of Affective Computing is the definitive reference for research in Affective Computing (AC), a growing multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and many other disciplines. The handbook explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems that intricately involve affect at their core. Suitable for use as a textbook in undergraduate or graduate courses in AC, the volume is a valuable resource for students, researchers, and practitioners worldwide.
Mind, Brain and Technology
As technology becomes increasingly integrated into our society, cultural expectations and needs are changing. Social understanding, family roles, organizational skills, and daily activities are all adapting to the demands of ever-present technology, causing changes in human brain, emotions, and behaviors. An understanding of the impact of technology upon our lives is essential if we are to adequately educate children for the future and plan for meaningful learning environments for them. Mind, Brain and Technology provides an overview of these changes from a wide variety of perspectives. Designed as a textbook for students in the fields and interdisciplinary areas of psychology, neuroscience, technology, computer science, and education, the book offers insights for researchers, professionals, educators, and anyone interested in learning more about the integration of mind, brain and technology in their lives. The book skilfully guides readers to explore alternatives, generate new ideas, and develop constructive plans both for their own lives and for future educational needs.
Artificial Intelligence in Education
This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up.
Intelligent Tutoring Systems
This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Tutoring Systems, ITS 2012, held in Chania, Crete, Greece, in June 2012. The 28 revised full papers, 50 short papers, and 56 posters presented were carefully viewed and selected from 177 submissions. The specific theme of the ITS 2012 conference is co-adaption between technologies and human learning. Besides that, the highly interdisciplinary ITS conferences bring together researchers in computer science, informatics, and artificial intelligence on the one side - and cognitive science, educational psychology, and linguistics on the other side. The papers are organized in topical sections on affect/emotions, affect/signals, games/motivation and design, games/empirical studies, content representation, feedback, non conventional approaches, conceptual content representation, assessment constraints, dialogue, dialogue/questions, learner modeling, learning detection, interaction strategies for games, and empirical studies thereof in general.
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.
Language and Emotion. Volume 1
The Handbook consists of four major sections. Each section is introduced by a main article: Theories of Emotion – General Aspects Perspectives in Communication Theory, Semiotics, and Linguistics Perspectives on Language and Emotion in Cultural Studies Interdisciplinary and Applied Perspectives The first section presents interdisciplinary emotion theories relevant for the field of language and communication research, including the history of emotion research. The second section focuses on the full range of emotion-related aspects in linguistics, semiotics, and communication theories. The next section focuses on cultural studies and language and emotion; emotions in arts and literature, as w...
Intelligent Tutoring Systems
The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, cont- ued the bi-annual series of top-flight international conferences on the use of advanced educational technologies that are adaptive to users or groups of users. These highly interdisciplinary conferences bring together researchers in the learning sciences, computer science, cognitive or educational psychology, cognitive science, artificial intelligence, machine learning, and linguistics. The theme of the ITS 2010 conference was Bridges to Learning, a theme that connects the scientific content of the conf- ence and the geography of Pittsburgh, the host city. The conference addressed the use of advanced technolog...
Handbook of Metacognition in Education
Providing comprehensive coverage of the theoretical bases of metacognition and its applications to educational practice, this compendium of focused and in-depth discussions from leading scholars in the field: represents an intersection of education, cognitive science, and technology; serves as a gateway to the literature for researchers and practitioners interested in one or more of the wide array of topics included; and sets the standard for scholarship for theoretical research and practical applications in this field. The Handbook of Metacognition in Education — covering Comprehension Strategies, Metacognitive Strategies, Metacomprehension, Writing, Science and Mathematics, Individual Differences, Self-Regulated Learning, Technology, Tutoring, and Measurement — is an essential resource for researchers, faculty, students, curriculum developers, teachers, and others interested in using research and theory on metacognition to guide and inform educational practice.
Encyclopedia of the Sciences of Learning
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic ca...
