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Author: Jamie Chaves
Publisher: Corwin
ISBN: 1071816136
Category : Education
Languages : en
Pages : 313
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Book Description
Reframing behaviors for competence, confidence, and successful outcomes With dysregulation and neurodevelopmental diagnoses on the rise, classrooms are more diverse than ever. Despite efforts to support each student’s needs and sensitivities, educators are often left frustrated and unsupported when strategies for managing all kinds of behaviors, from anxiety to acting out, prove ineffective, short-lived, or even detrimental to the students’ and teachers’ happiness and progress. Through a reflective lens, this book equips teachers and support staff to help all students thrive by identifying and fostering each teacher’s and child’s individual differences and unique strengths. Written in an accessible, conversational style, this book will help educators: - Build confidence in identifying and addressing behaviors in order to support student growth and brain development - Learn about an interdisciplinary approach that combines education, occupational therapy, and psychology to better understand and navigate brain-based regulation, relationships, and behaviors in the classroom - Use relevant research, illustrations, and strategies for reflective and experiential moments - Discover strategies to facilitate co-regulation, establish positive classroom relationships, address sensory needs, communicate with parents, and practice self-care This reflective, insightful book provides workable strategies to help all students, as well as those who care for them, feel more competent, confident, and successful.
Author: Jamie Chaves
Publisher: Corwin
ISBN: 1071816136
Category : Education
Languages : en
Pages : 313
Get Book Here
Book Description
Reframing behaviors for competence, confidence, and successful outcomes With dysregulation and neurodevelopmental diagnoses on the rise, classrooms are more diverse than ever. Despite efforts to support each student’s needs and sensitivities, educators are often left frustrated and unsupported when strategies for managing all kinds of behaviors, from anxiety to acting out, prove ineffective, short-lived, or even detrimental to the students’ and teachers’ happiness and progress. Through a reflective lens, this book equips teachers and support staff to help all students thrive by identifying and fostering each teacher’s and child’s individual differences and unique strengths. Written in an accessible, conversational style, this book will help educators: - Build confidence in identifying and addressing behaviors in order to support student growth and brain development - Learn about an interdisciplinary approach that combines education, occupational therapy, and psychology to better understand and navigate brain-based regulation, relationships, and behaviors in the classroom - Use relevant research, illustrations, and strategies for reflective and experiential moments - Discover strategies to facilitate co-regulation, establish positive classroom relationships, address sensory needs, communicate with parents, and practice self-care This reflective, insightful book provides workable strategies to help all students, as well as those who care for them, feel more competent, confident, and successful.
Author: Xiaona Xia
Publisher: Taylor & Francis
ISBN: 1040044441
Category : Computers
Languages : en
Pages : 209
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Book Description
The book aims to design and construct early warning mechanisms based on the dynamic temporal tracking technology for online learning behaviors, driven by educational big data. By studying a massive amount of learning behavior instances generated in various interactive learning environments worldwide, the book explores the continuous sequences of correlated learning behaviors and characteristics. From various angles, the authors have devised a series of early warning measures that could effectively solve multiple issues in learning behaviors driven by educational big data. Additionally, the book predicts patterns and identifies risks by analyzing the temporal sequences of the entire learning process. While presenting a range of theoretical achievements and technical solutions to improve and design new online learning mode, it also provides relevant technical ideas and methodologies for research on similar problems. The book will attract scholars and students working on learning analytics and educational big data worldwide.
Author: Megan A. Moreno
Publisher: Academic Press
ISBN: 012817319X
Category : Psychology
Languages : en
Pages : 426
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Book Description
Technology and Adolescent Health: In Schools and Beyond discusses how today's adolescents are digital natives, using technology at home and in school to access information, for entertainment, to socialize and do schoolwork. This book summarizes research on how technology use impacts adolescent mental health, sleep, physical activity and eating habits. In addition, it identifies monitoring and screening technology-based tools for use with adolescents.
Author: Joan Ann Benevento
Publisher: Charles C Thomas Publisher
ISBN: 0398075360
Category : Education
Languages : en
Pages : 251
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Book Description
This book is designed to be an intervention model based on the concepts of Piaget's study of constructivism. The application of this approach will help children with learning/behavioral disorders actively participate in a fuller integration of their own psychomotor, affective, and cognitive information processing skills and adaptation. The work is directed toward teaching children to acquire the basic skills necessary for living in a multicultural society, including academic, personal, interpersonal, communicative, and economic proficiency. Each chapter in this book offers a substantial overvi.
Author: Walter Van de Velde
Publisher: MIT Press
ISBN: 9780262720175
Category : Computers
Languages : en
Pages : 182
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Book Description
The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on. Contents Introduction: Toward Learning Robots * Learning Reliable Manipulation Strategies without Initial Physical Models * Learning by an Autonomous Agent in the Pushing Domain * A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task * A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations * Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning * Learning How to Plan * Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar * Foundations of Learning in Autonomous Agents * Prior Knowledge and Autonomous Learning
Author: Jim Knight
Publisher: ASCD
ISBN: 1416630678
Category : Education
Languages : en
Pages : 226
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Book Description
Even under ideal conditions, teaching is tough work. Facing unrelenting pressure from administrators and parents and caught in a race against time to improve student outcomes, educators can easily become discouraged (or worse, burn out completely) without a robust coaching system in place to support them. For more than 20 years, perfecting such a system has been the paramount objective of best-selling author and coaching guru Jim Knight and his team of researchers at the Instructional Coaching Group (ICG). In The Definitive Guide to Instructional Coaching, Knight offers a blueprint for establishing, administering, and assessing an instructional coaching program laser-focused on every educator's ultimate goal: the academic success of students. Organized around ICG's seven "Success Factors" for great instructional coaching, this book offers * An in-depth guide to the Impact Cycle, ICG's research-based and field-tested model for coaching teachers through issues that matter most to them; * Detailed guidance on how to create a "playbook" of instructional strategies to share with collaborating teachers—and how to model those strategies under different conditions; * Practical advice on preparing for and engaging in substantive, reflective, and teacher-centered coaching conversations; * Best practices for gathering, analyzing, and responding to data for improved teaching and learning; and * Real-life anecdotes and testimonies from educators and coaches who have reaped the benefits of the Impact Cycle in a diverse array of schools. In addition, each chapter of the book contains a learning map to help orient you and a list of valuable additional resources to complement the text. Whether you're new to coaching or well versed in the practice, The Definitive Guide to Instructional Coaching will no doubt prove a cornerstone of your coaching library for years to come.
Author: Mohammed Atiquzzaman
Publisher: Springer Nature
ISBN: 9811674663
Category : Technology & Engineering
Languages : en
Pages : 1314
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Book Description
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Author: T. Endrjukaite
Publisher: IOS Press
ISBN: 1614999333
Category : Computers
Languages : en
Pages : 570
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Book Description
Information modeling and knowledge bases have become essential subjects in the last three decades, not only in academic communities related to information systems and computer science, but also in the areas of business where information technology is applied. This book presents the proceedings of the 28th International Conference on Information Modelling and Knowledge Bases (EJC2018), held in Riga, Latvia from 4–8 June 2018. The aim of the conference was to bring together experts with a common interest in the understanding and solving of problems on information modelling and knowledge bases, as well as those from different areas of computer science and other disciplines who apply the results of research to practice. The 39 accepted papers collected here cover a variety of topics, including: conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; multimedia data modeling and systems; and environmental modeling and engineering. The book will be of interest to researchers and practitioners alike, and to anyone wanting a better understanding of current advances in information technology.
Author: Yuqing Sun
Publisher: Springer Nature
ISBN: 9819996376
Category : Computers
Languages : en
Pages : 583
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Book Description
This two-volume set constitutes the revised selected papers of the 18th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2023 held in Harbin, China, in August 2023. The 54 full papers and 28 short papers presented in these proceedings were carefully reviewed and selected from 221 submissions. The papers are organized in the following topical sections: Social Media and Online Communities; Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Crowd Intelligence and Crowd Cooperative Computing; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications.
Author: José Jesús Gázquez
Publisher: Frontiers Media SA
ISBN: 2889455912
Category :
Languages : en
Pages : 594
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Book Description
The main objective of this Research Topic is to determine the conditions that place students at risk of school failure, identifying student and context variables. In spite of the fact that there is currently little doubt about how one learns and how to teach, in some countries of the “developed world,” there is still there is a high rate of school failure. Although the term “school failure” is a very complex construct, insofar as its causes, consequences, and development, from the field of educational psychology, the construct “student engagement” has recently gained special interest in an attempt to deal with the serious problem of school failure. School engagement builds on the anatomy of the students’ involvement in school and describes their feelings, behaviors, and thoughts about their school experiences. So, engagement is an important component of students’ school experience, with a close relationship to achievement and school failure. Children who self-set academic goals, attend school regularly and on time, behave well in class, complete their homework, and study at home are likely to interact adequately with the school social and physical environments and perform well in school. In contrast, children who miss school are more likely to display disruptive behaviors in class, miss homework frequently, exhibit violent behaviors on the playground, fail subjects, be retained and, if the behaviors persist, quit school. Moreover, engagement should also be considered as an important school outcome, eliciting more or less supportive reactions from educators. For example, children who display school-engaged behaviors are likely to receive motivational and instructional support from their teachers. The opposite may also be true. But what makes student engage more or less? The relevant literature indicates that personal variables (e.g., sensory, motor, neurodevelopmental, cognitive, motivational, emotional, behavior problems, learning difficulties, addictions), social and/or cultural variables (e.g., negative family conditions, child abuse, cultural deprivation, ethnic conditions, immigration), or school variables (e.g., coexistence at school, bullying, cyberbullying) may concurrently hinder engagement, preventing the student from acquiring the learnings in the same conditions as the rest of the classmates.
