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Author: JEFFREY C. LEVY
Publisher:
ISBN: 9780367366841
Category :
Languages : en
Pages :
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Book Description
Author: JEFFREY C. LEVY
Publisher:
ISBN: 9780367366841
Category :
Languages : en
Pages :
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Book Description
Author: Jeffrey C. Levy
Publisher: Routledge
ISBN: 1317351290
Category : Education
Languages : en
Pages : 289
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Book Description
Adaptive Learning and the Human Condition presents the basic principles of classical (Pavlovian) and instrumental (Skinnerian) conditioning in a more coherent and expansive manner than is the case in other textbooks. Learning is defined as an adaptive process through which individuals acquire the ability to predict, and where possible, control the environment. This overarching definition enables integration of traditional Pavlovian and Skinnerian principles and terminology and makes explicit why treatment of the learning process is essentially limited to these two historical research paradigms. Pavlov developed a methodology for studying animals under circumstances where they could predict, but not control, sequences of environmental events. Skinner studied animals under circumstances where their behavior had an effect upon environmental events. Observational learning and symbolic communication (i.e., spoken or written language) are incorporated as indirect learning processes through which individuals can acquire the ability to predict or control. This treatment creates a perspective within which it is possible to consider the fundamental nature of the learning process in understanding the human condition and in addressing significant individual and social concerns. Examples of applications and issues not included in similar textbooks include: The role of classical and instrumental conditioning in language acquisition The administration of rewards and punishers in Baumrind’s parental styles as related to Kohlberg’s stages of moral development Stone-Age hunter-gatherer and technologically-advanced cultures: How did we get from there to here? Self-control and self-actualization While covering traditional technical and theoretical issues, the book is written in a clear, engaging style. The narrative builds across chapters, culminating in the treatment of applications and societal concerns of import and interest to students and faculty alike. Upon completing this book, readers should be able to: explain the significance of human condition through adaptive learning; present the basic principles of classical and instrumental conditioning; and understand the significance of scientific research
Author: Jeffrey C. Levy
Publisher: Routledge
ISBN: 1000409643
Category : Psychology
Languages : en
Pages : 405
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Book Description
Adaptive Learning and the Human Condition provides a coherent and comprehensive introduction to the basic principles of classical (Pavlovian) and instrumental (Skinnerian) conditioning. When combined with observational learning and language, they are responsible for human accomplishment from the Stone Age to the digital age. This edition has been thoroughly updated throughout, relating adaptive learning principles to clinical applications as well as non-traditional topics such as parenting, moral development, and the helping professions. Defining learning as an adaptive process enables students to understand the need to review the basic animal research literature in classical and operant conditioning and consider how it applies to human beings in our everyday lives. Divided into four parts, this book covers historical research into psychology and adaptive learning, principles of adaptive learning (prediction and control), adaptive learning and the human condition, and behavior modification and the helping professions. The book showcases how an adaptive learning strategy can be practical, diagnostic, and prescriptive, making this an essential companion for psychology students and those enrolled in programs in professional schools and helping professions including psychiatry, special education, health psychology, and physical therapy.
Author: Jeffrey C. Levy
Publisher: Taylor & Francis
ISBN: 1040047831
Category : Psychology
Languages : en
Pages : 523
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Book Description
Introductory Psychology and the Human Condition provides an engaging, cohesive, and practical treatment of traditional psychological principles and theories. The book uses Maslow’s human needs hierarchy and Bronfenbrenner’s ecological theory of development as organizational schemas for considering how cultures have evolved to address human needs. It relates major psychological processes including biology, perception, motivation, learning, and cognition to lifespan and personality development in nomadic hunter-gatherer and technologically enhanced cultures. Human history is described as a feedback loop in which inventions and technologies result in the need for individuals and cultures to adapt to changing environmental and social conditions. By applying interdisciplinary perspectives of the humanities, social and natural sciences, and helping professions to the human condition, it offers a meaningful lens through which to study and interpret core psychological concepts. Chapters are supported by self-understanding and self-control exercises that help students place their lives within a cultural and historical context and apply the principles of psychology to themselves. Offering an engaging overview of the essential elements of an introductory psychology course in an accessible and approachable style, Introductory Psychology and the Human Condition is core reading for introductory students and will appeal also to a general audience interested in psychology.
Author:
Publisher: Routledge
ISBN: 1136820698
Category :
Languages : en
Pages : 220
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Book Description
Author: Jungwoo Ryoo
Publisher: Springer Nature
ISBN: 303058948X
Category : Social Science
Languages : en
Pages : 148
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Book Description
As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.
Author: Aude Billard
Publisher: MIT Press
ISBN: 0262367017
Category : Technology & Engineering
Languages : en
Pages : 425
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Book Description
Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.
Author: William Cutrer
Publisher: Elsevier Health Sciences
ISBN: 032371112X
Category : Medical
Languages : en
Pages : 242
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Book Description
Tomorrow's best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association's MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers. - Explains and clarifies the concept of a Master Adaptive Learner: a metacognitive approach to learning based on self-regulation that fosters the success and use of adaptive expertise in practice. - Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement a Master Adaptive Learner approach in today's institutions. - Gives instructors the tools needed to empower students to become efficient and successful adaptive learners. - Helps medical faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century healthcare systems. - One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the ACE (Accelerating Change in Medical Education) Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.
Author: ASCD 1978 Yearbook Committee
Publisher: Washington: Association for Supervision and Curriculum Development
ISBN:
Category : Education
Languages : en
Pages : 284
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Book Description
Author: Mostafa Ezziyyani
Publisher: Springer Nature
ISBN: 3030366537
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
This book contains the latest researches on advanced intelligent systems applied in the field of education presented during the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) held on July 08–11, 2019, in Marrakech, Morocco. The book proposes new approaches and innovative strategies for the manipulation of data and big data collected from the educational environment, exploiting the analysis tools, algorithms of artificial intelligence, and machine learning techniques, in order to extract results, which allow improving the performance and effectiveness of the education field, which is a strategic lever for sustainable development. The book deals with concepts, strategies, and approaches developed on various current axes of scientific research in the field of education, such as smart e-learning, smart education (smart classroom, smart assessment and smart teaching and learning technologies), massive open online courses (MOOC), courseware design, and development for smart learning, cloud learning, and mobile learning. The book is intended for all actors in the educational sector, namely students, professors, academic researchers, and stakeholders. It constitutes a large-scale forum for the exchange of ideas, approaches, and innovative techniques between these actors on the development and innovation of the field of education with the revolution 4.0. The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments, and successful applications. The purpose of this session is to share the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the field of education.
