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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
Player Development: The Holistic Method provides the first holistic, evidence-based performance development method in sport. Focusing on the world’s largest sport, soccer, this book weaves together the interconnected layers driving player performance development to define a novel training method. In performance sport, narratives defining success or failure are steeped with stories of chance. The reality is that player performance and athlete development leading to career success is the byproduct of optimizing interconnected experiences toward maximizing the likelihood of individual success. It is the application of a holistic method that reduces the influence of luck and increases the likelihood of individual and team success. This book is the pathway to understanding and facilitating individual player development leading to elite performance success. This book reveals not only a holistic method, but also a universal method breaking down perceived and real barriers to provide a method transcending domains and specializations – a unified approach. The book introduces an evidence-based method toward performance development in soccer. It is key reading for students of coaching, talent development, sport performance and ancillary specializations, and practicing professionals in the field of player and performance development and coaching.
Emotions, Technology, Design, and Learning provides an update to the topic of emotional responses and how technology can alter what is being learned and how the content is learned. The design of that technology is inherently linked to those emotional responses. This text addresses emotional design and pedagogical agents, and the emotions they generate. Topics include design features such as emoticons, speech recognition, virtual avatars, robotics, and adaptive computer technologies, all as relating to the emotional responses from virtual learning. Addresses the emotional design specific to agent-based learning environments Discusses the use of emoticons in online learning, providing an historical overview of animated pedagogical agents Includes evidence-based insights on how to properly use agents in virtual learning environments Focuses on the development of a proper architecture to be able to have and express emotions Reviews the literature in the field of advanced agent-based learning environments Explores how educational robotic activities can divert students’ emotions from internal to external
GIFT, the Generalized Intelligent Framework for Tutoring, is a modular, service-oriented architecture developed to lower the skills and time needed to author effective adaptive instruction. Design goals for GIFT also include capturing best instructional practices, promoting standardization and reuse for adaptive instructional content and methods, and methods for evaluating the effectiveness of tutoring technologies. Truly adaptive systems make intelligent (optimal) decisions about tailoring instruction in real-time and make these decisions based on information about the learner and conditions in the instructional environment. The GIFT Users Symposia were started in 2013 to capture successful implementations of GIFT from the user community and to share recommendations leading to more useful capabilities for GIFT authors, researchers, and learners.
The book, presenting the proceedings of the 2018 Future Technologies Conference (FTC 2018), is a remarkable collection of chapters covering a wide range of topics, including, but not limited to computing, electronics, artificial intelligence, robotics, security and communications and their real-world applications. The conference attracted a total of 503 submissions from pioneering researchers, scientists, industrial engineers, and students from all over the world. After a double-blind peer review process, 173 submissions (including 6 poster papers) have been selected to be included in these proceedings. FTC 2018 successfully brought together technology geniuses in one venue to not only present breakthrough research in future technologies but to also promote practicality and applications and an intra- and inter-field exchange of ideas. In the future, computing technologies will play a very important role in the convergence of computing, communication, and all other computational sciences and applications. And as a result it will also influence the future of science, engineering, industry, business, law, politics, culture, and medicine. Providing state-of-the-art intelligent methods and techniques for solving real-world problems, as well as a vision of the future research, this book is a valuable resource for all those interested in this area.
This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.
"This book concentrates on theory, application, and the development of web-based technologies for teaching and learning and its influence on the education system"--
This volume presents different conceptual and theoretical frameworks as well as research methods that have helped educational researchers to study emotions. It includes innovative approaches that push the methodological boundaries that have served educational researchers until now and proposes new ways of researching emotions in educational contexts. In particular, this edited volume provides a historical frame for studying emotions. It connects theoretical/epistemological views with choice of research methods and describes specific methods helpful in doing research on emotions as they are grounded in different theoretical and disciplinary traditions such as psychology, philosophy, sociology, history, political science, cultural studies, and feminist studies. Finally, it appreciates the contextual and international dimensions of studying emotions in education and contributes to ongoing debates about the implications of our methodological choices for understanding emotion in education. This combination of variety, timeliness, potential for transformation of the field, and uniqueness make this a very valuable resource to introduce new scholars in the field alongside established scholars.
This book emanated primarily from concerns that the mathematical capabilities of young children continue to receive inadequate attention in both the research and instructional arenas. Research over many years has revealed that young children have sophisticated mathematical minds and a natural eagerness to engage in a range of mathematical activities. As the chapters in this book attest, current research is showing that young children are developing complex mathematical knowledge and abstract reasoning a good deal earlier than previously thought. A range of studies in prior to school and early school settings indicate that young learners do possess cognitive capacities which, with appropriately designed and implemented learning experiences, can enable forms of reasoning not typically seen in the early years. Although there is a large and coherent body of research on individual content domains such as counting and arithmetic, there have been remarkably few studies that have attempted to describe characteristics of structural development in young students’ mathematics. Collectively, the chapters highlight the importance of providing more exciting, relevant, and challenging 21st century mathematics learning for our young students. The chapters provide a broad scope in their topics and approaches to advancing young children’s mathematical learning. They incorporate studies that highlight the importance of pattern and structure across the curriculum, studies that target particular content such as statistics, early algebra, and beginning number, and studies that consider how technology and other tools can facilitate early mathematical development. Reconceptualising the professional learning of teachers in promoting young children’s mathematics, including a consideration of the role of play, is also addressed.
The research data is based on findings from many fields like neuroscience, genetics and psychology; filtered through the lens of education, for exploring new challenges in Education and finding ways to solve various educational problems, may it be learning disabilities, motivational problems, memory, development of thinking, or similar sort of teaching-learning problems. The 7C’s instructional model is designed based on the principles and Instructional Guidelines of Mind, Brain and Educational Science to focus on the development of thinking skills among learners. The main objective of 7C’s instructional model is to make the process of learning more meaningful and interesting to the learners by using positive emotions in teacher-student interactions and creating a good learning environment.