Download or read book Intelligent and Adaptive Educational Learning Systems written by Alejandro Peña-Ayala and published by Springer Science & Business Media. This book was released on 2012-08-10 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Intelligent and Adaptive Learning Systems written by Sabine Graf and published by IGI Global. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher.
Download or read book Intelligent and Adaptive Learning Systems written by Sabine Graf and published by . This book was released on 2012 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher.
Download or read book Building Intelligent Interactive Tutors written by Beverly Park Woolf and published by Morgan Kaufmann. This book was released on 2010-07-28 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building Intelligent Interactive Tutors discusses educational systems that assess a student's knowledge and are adaptive to a student's learning needs. The impact of computers has not been generally felt in education due to lack of hardware, teacher training, and sophisticated software. and because current instructional software is neither truly responsive to student needs nor flexible enough to emulate teaching. Dr. Woolf taps into 20 years of research on intelligent tutors to bring designers and developers a broad range of issues and methods that produce the best intelligent learning environments possible, whether for classroom or life-long learning. The book describes multidisciplinary approaches to using computers for teaching, reports on research, development, and real-world experiences, and discusses intelligent tutors, web-based learning systems, adaptive learning systems, intelligent agents and intelligent multimedia. It is recommended for professionals, graduate students, and others in computer science and educational technology who are developing online tutoring systems to support e-learning, and who want to build intelligence into the system. Combines both theory and practice to offer most in-depth and up-to-date treatment of intelligent tutoring systems available Presents powerful drivers of virtual teaching systems, including cognitive science, artificial intelligence, and the Internet Features algorithmic material that enables programmers and researchers to design building components and intelligent systems
Download or read book Adaptive Micro Learning written by Geng Sun (Researcher on educational technology) and published by World Scientific. This book was released on 2020 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligent Learning Systems and Advancements in Computer Aided Instruction Emerging Studies written by Jin, Qun and published by IGI Global. This book was released on 2011-12-31 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book reviews computational models and technologies for distance education, focusing on systems, infrastructures, and frameworks for delivering quality education"--Provided by publisher.
Download or read book Innovative Learning Environments in STEM Higher Education written by Jungwoo Ryoo and published by Springer Nature. This book was released on 2021-03-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Advanced Intelligent Systems for Sustainable Development AI2SD 2019 written by Mostafa Ezziyyani and published by Springer. This book was released on 2020-01-04 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Intelligent and Adaptive Educational Learning Systems written by Springer and published by . This book was released on 2012-08-31 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Personalizing Training With Adaptive Learning Systems written by James Bennett and published by Association for Talent Development. This book was released on 2018-05-01 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive learning systems allow corporations to enhance and adjust training to the individual learner. Adaptive learning also allows companies to measure and assess what training participants have learned and how to further help them. In “Personalizing Training With Adaptive Learning Systems,” James Bennett presents an overview of adaptive learning and then dives deeper into details that will make working with adaptive learning systems much easier and more effective. This issue of TD at Work: · identifies the types of problems adaptive learning solves · defines common components of adaptive learning systems · discusses designing and developing in an adaptive system, including providing a design steps template · addresses what to look for when choosing an adaptive learning system.
Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Intelligent Adaptation and Personalization Techniques in Computer Supported Collaborative Learning written by Thanasis Daradoumis and published by Springer. This book was released on 2012-03-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.
Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Intelligence for Technology Enhanced Learning written by Fatos Xhafa and published by Springer. This book was released on 2010-03-10 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.
Download or read book Adaptive Intelligence written by Robert J. Sternberg and published by Cambridge University Press. This book was released on 2021-02-04 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.
Download or read book Innovative Trends in Personalized Software Engineering and Information Systems written by C. Troussas and published by IOS Press. This book was released on 2020-08-04 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Innovative Trends in Personalized Software Engineering and Information Systems – The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of developing fully-automated adaptive software, mainly focusing on enhancing digital learning. The authors cover several integral phases of software engineering and their application in the effective implementation of sophisticated learning technology systems. Systems development and systems evaluation, tailored to adaptive e-learning, are examined in depth. More specifically, intelligent and knowledge-based techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, pattern recognition, learning analytics and data mining, as well as evaluation frameworks adapted to digital learning software are presented. This publication will be of interest to scientists from various disciplines, including computer science, artificial intelligence, education and psychology, and will help researchers working in computer science and engineering to build intelligent and adaptive learning technology systems by employing personalization techniques while following the basic concepts of software engineering and information systems. It will also serve as a valuable tool for junior and senior scientists, supporting their research activities in the field of personalized and knowledge-based software engineering, and instructors will be able to use the book as a guide to the effective design and development of intelligent systems in education.
Download or read book Anticipatory Behavior in Adaptive Learning Systems written by Martin V. Butz and published by Springer. This book was released on 2007-09-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed post-proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems. Twenty full papers were chosen from among the many submissions. Papers are organized into sections covering anticipatory aspects in brains, language, and cognition; individual anticipatory frameworks; learning predictions and anticipations; anticipatory individual behavior; and anticipatory social behavior.
