[PDF] Adaptivity And Learning - eBooks Review

Adaptivity And Learning


Adaptivity And Learning
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Personalization And Collaboration In Adaptive E Learning


Personalization And Collaboration In Adaptive E Learning
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Author : Tadlaoui, Mouenis Anouar
language : en
Publisher: IGI Global
Release Date : 2019-12-13

Personalization And Collaboration In Adaptive E Learning written by Tadlaoui, Mouenis Anouar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Education categories.


As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.



Intelligent And Adaptive Educational Learning Systems


Intelligent And Adaptive Educational Learning Systems
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Author : Alejandro Peña-Ayala
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-10

Intelligent And Adaptive Educational Learning Systems written by Alejandro Peña-Ayala and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-10 with Computers categories.


The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.



Managing Cognitive Load In Adaptive Multimedia Learning


Managing Cognitive Load In Adaptive Multimedia Learning
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Author : Slava Kalyuga
language : en
Publisher: IGI Global Snippet
Release Date : 2009

Managing Cognitive Load In Adaptive Multimedia Learning written by Slava Kalyuga and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.


Research in multimedia and computer-based learning has entered a new phase with a focus on adapting instruction to characteristics of individual learners.



Learning For Adaptive And Reactive Robot Control


Learning For Adaptive And Reactive Robot Control
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Author : Aude Billard
language : en
Publisher: MIT Press
Release Date : 2022-02-08

Learning For Adaptive And Reactive Robot Control written by Aude Billard and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-08 with Technology & Engineering categories.


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.



Adaptive Micro Learning Using Fragmented Time To Learn


Adaptive Micro Learning Using Fragmented Time To Learn
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Author : Geng Sun
language : en
Publisher: World Scientific Publishing Company
Release Date : 2020-02-11

Adaptive Micro Learning Using Fragmented Time To Learn written by Geng Sun and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-11 with Computers categories.


This compendium introduces an artificial intelligence-supported solution to realize adaptive micro learning over open education resource (OER). The advantages of cloud computing and big data are leveraged to promote the categorization and customization of OERs micro learning context. For a micro-learning service, OERs are tailored into fragmented pieces to be consumed within shorter time frames.Firstly, the current status of mobile-learning, micro-learning, and OERs are described. Then, the significances and challenges of Micro Learning as a Service (MLaaS) are discussed. A framework of a service-oriented system is provided, which adopts both online and offline computation domain to work in conjunction to improve the performance of learning resource adaptation.In addition, a comprehensive learner model and a knowledge base is prepared to semantically profile the learners and learning resource. The novel delivery and access mode of OERs suffers from the cold start problem because of the shortage of already-known learner information versus the continuously released new micro OERs. This unique volume provides an excellent feasible algorithmic solution to overcome the cold start problem.



Adaptive Behavior And Learning


Adaptive Behavior And Learning
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Author : J. E. R. Staddon
language : en
Publisher: Cambridge University Press
Release Date : 2016-03-10

Adaptive Behavior And Learning written by J. E. R. Staddon and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-10 with Psychology categories.


Summarizes the current state of both theoretical and experimental knowledge about learning in animals.



Multimedia In Education


Multimedia In Education
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Author : Irene Cheng
language : en
Publisher: World Scientific
Release Date : 2010

Multimedia In Education written by Irene Cheng and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Education categories.


Reviews many examples of multimedia item types for testing. This book outlines how games can be used to test physics concepts and discusses designing chemistry item types with interactive graphics. It also studies how to test different cognitive skills, such as music, using multimedia interfaces and also evaluate the effectiveness of our model.



The Master Adaptive Learner


The Master Adaptive Learner
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Author : William Cutrer
language : en
Publisher: Elsevier Health Sciences
Release Date : 2019-09-29

The Master Adaptive Learner written by William Cutrer and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-29 with Medical categories.


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.



Adaptive Learning Methods For Nonlinear System Modeling


Adaptive Learning Methods For Nonlinear System Modeling
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Author : Danilo Comminiello
language : en
Publisher: Butterworth-Heinemann
Release Date : 2018-07-05

Adaptive Learning Methods For Nonlinear System Modeling written by Danilo Comminiello and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-05 with Technology & Engineering categories.


Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.



Adaptive Learning And The Human Condition


Adaptive Learning And The Human Condition
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Author : Jeffrey C. Levy
language : en
Publisher: Routledge
Release Date : 2021-09-30

Adaptive Learning And The Human Condition written by Jeffrey C. Levy and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Psychology categories.


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.