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Author : Chia-Chen Chen,Patrick Hung,Erol Eğrioğlu,Kuo-Lun Hsiao
Publisher : Frontiers Media SA
Page : 652 pages
File Size : 51,7 Mb
Release : 2022-09-14
Category : Science
ISBN : 9782889769612
Author : Mostafa Ezziyyani
Publisher : Springer Nature
Page : 256 pages
File Size : 50,5 Mb
Release : 2020-01-03
Category : Technology & Engineering
ISBN : 9783030366537
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.
Author : Martin V. Butz,Olivier Sigaud,Giovanni Pezzulo,Gianluca Baldassarre
Publisher : Springer
Page : 382 pages
File Size : 52,6 Mb
Release : 2007-09-19
Category : Computers
ISBN : 9783540742623
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.
Author : Marlene Jones,Philip H. Winne
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 44,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642775123
Adaptive Learning Environments (ALEs) can be viewed as the intersection of two traditionally distinct areas of research: instructional science and computer science. They encompass intelligent tutoring systems, interactive learning environments, and situated learning environments. There is increasing interest in effective instructional systems from education, industry, military and government sectors. Given recent advances in hardware architecture and reduction of hardware costs, the time is right to define the next steps in research and development of ALEs. This book is an outgrowth of the presentations and discussions that took place at the NATO Advanced Study Institute held at the University of Calgary in July 1990. It contains chapters from both researchers in instructional science and researchers in computer science on the following topics: - Systems and architectures for instruction - Representing curriculum and designing instructional tasks - Environments to support learning - Diagnosing students' learning and adjusting plans for instruction - Models of students' metacognition, motivation and learning strategies - Student-system interactions. The book containsintroductions/critiques of each pair of chapters, and a final chapter discusses the synthesis of instructional science and computer science.
Author : Vrince Vimal
Publisher : Springer Nature
Page : 710 pages
File Size : 45,7 Mb
Release : 2024-06-02
Category : Electronic
ISBN : 9789819714889
Author : Martin V. Butz,Olivier Sigaud,Pierre Gérard
Publisher : Springer
Page : 305 pages
File Size : 44,5 Mb
Release : 2004-01-21
Category : Computers
ISBN : 9783540450023
The interdisciplinary topic of anticipation, attracting attention fromnbsp;computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work. First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.
Author : Robert Zheng
Publisher : Unknown
Page : 376 pages
File Size : 43,7 Mb
Release : 2018
Category : EDUCATION
ISBN : 1536131830
Author : Jon Krohn,Grant Beyleveld,Aglaé Bassens
Publisher : Addison-Wesley Professional
Page : 725 pages
File Size : 54,6 Mb
Release : 2019-08-05
Category : Computers
ISBN : 9780135121726
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author : Alina A. von Davier,Robert J. Mislevy,Jiangang Hao
Publisher : Springer Nature
Page : 265 pages
File Size : 44,7 Mb
Release : 2022-01-01
Category : Education
ISBN : 9783030743949
This book defines and describes a new discipline, named “computational psychometrics,” from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners’ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks. Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term “computational” has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, “computational” has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community. In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.
Author : Giovanni Pezzulo,Martin V. Butz,Olivier Sigaud,Gianluca Baldassarre
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 47,6 Mb
Release : 2009-06-15
Category : Technology & Engineering
ISBN : 9783642025648
Anticipatory behavior in adaptive learning systems continues attracting attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning. This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, Germany, in June 2008, in collaboration with the six-monthly Meeting of euCognition 'The Role of Anticipation in Cognition'. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also revisits the current available terminology on anticipatory behavior and relates it to the available system approaches. The papers are organized in topical sections on anticipation in psychology with focus on the ideomotor view, conceptualizations, anticipation and dynamical systems, computational modeling of psychological processes in the individual and social domains, behavioral and cognitive capabilities based on anticipation, and computational frameworks and algorithms for anticipation, and their evaluation.
Author : Dr. Mara Fischer
Publisher : epubli
Page : 99 pages
File Size : 55,5 Mb
Release : 2024-02-25
Category : Education
ISBN : 9783758479281
In "Educational Equity in the Age of Artificial Intelligence," Dr. Mara Fischer takes readers on a profound journey into the heart of modern education's greatest challenge and opportunity: the integration of AI technologies. The book opens with a compelling examination of the current educational landscape, highlighting the disparities that threaten to widen in the wake of technological advancement. Fischer expertly navigates through the complexities of AI, demystifying its principles for non-technical readers while underscoring its potential to transform learning environments for the better. The narrative progresses to explore innovative case studies and theoretical frameworks that propose equitable solutions for integrating AI into education. Fischer's analysis is both critical and hopeful, offering a balanced view on how artificial intelligence can be leveraged to democratize education, personalize learning experiences, and equip students with the skills needed for a digital future. With a keen eye on policy implications and ethical considerations, this section not only enlightens but also inspires action among stakeholders. Concluding with a visionary outlook, "Educational Equity in the Age of Artificial Intelligence" calls for a collaborative effort between educators, policymakers, and technologists to create an inclusive educational system. Dr. Fischer emphasizes the urgency of this task, presenting a roadmap for harnessing the power of AI to ensure that every student, regardless of background, has access to the tools and opportunities necessary to thrive in the 21st century. This book is an indispensable resource for anyone committed to the cause of educational equity, offering practical insights and strategies to navigate the challenges and seize the opportunities presented by AI in education.
Author : Geng Sun,Jun Shen,Jiayin Lin
Publisher : World Scientific
Page : 151 pages
File Size : 49,9 Mb
Release : 2020-02-18
Category : Computers
ISBN : 9789811207471
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.
Author : Harold F. O'Neil
Publisher : Academic Press
Page : 244 pages
File Size : 44,9 Mb
Release : 2014-05-10
Category : Psychology
ISBN : 9781483267135
Learning Strategies describes a program of research in learning strategies initiated by the Defense Advanced Research Projects Agency (DARPA) in 1976. The goal of the program is to improve learning, decrease training time, and reduce training costs by developing and evaluating instructional materials designed to teach basic intellectual and affective skills. This book records the program's progress and suggests further avenues for research. Comprised of eight chapters, this book begins with an overview of the theoretical underpinnings of the teaching and learning approaches to the improvement of education, followed by a discussion on DARPA's preliminary work on an empirically based learning-strategy training program as well as its efforts to expand and modify the program. In order to provide an intellectual foundation for this program, several fields are surveyed for potential learning strategies, namely, cognitive psychology, artificial intelligence, behavioral modification, and motor learning. An instructional systems development approach for learning strategies is also proposed. The final chapter deals with models of evaluation extant in education and training and discusses the specific application of transactional evaluation to the DARPA Learning Strategies Research Program. This monograph should be of interest to students, teachers, and educational psychologists.
Author : Baskaran Jeevarathinam,Srinivasan Kanthalakshmi,Rangasamy Rudramoorthy
Publisher : European Alliance for Innovation
Page : 1441 pages
File Size : 52,5 Mb
Release : 2024-01-23
Category : Business & Economics
ISBN : 9781631904479
The International Conference on Science, Engineering and Technology Practices for Sustainable Development (ICSETPSD-23) brought researchers, scientists, engineers, industrial professionals, and scholar students for the dissemination of original research results, new ideas, and practical development experiences which concentrate on both theory and practices from around the world in all the areas of science, engineering, and technology practices for sustainable development. The theme of ICSETPSD-23 was “Science, Engineering and Technology for sustainable development”. The technical program of ICSETPSD-23 consisted of 140 full papers, scheduled for oral presentation sessions at the main conference tracks. The conference tracks were: Track 1 – Science for sustainable development; Track 2 – Sustainability through Engineering; Track 3 – Sustainable developments in Health Care; and Track 4 – Technology practices for sustainability. Aside from the high quality technical paper presentations, the technical program also featured eight keynote speeches and one invited talk. We strongly believe that ICSETPSD-23 conference provides a good forum for all researchers, developers, and practitioners to discuss all science and technology aspects that are relevant to sustainable developments. We also expect that the future ICSETPSD conference will be as successful and stimulating, as indicated by the contributions presented in this volume.
Author : Daniel L. Dinsmore,Luke K. Fryer,Meghan M. Parkinson
Publisher : Routledge
Page : 461 pages
File Size : 54,8 Mb
Release : 2020-01-27
Category : Education
ISBN : 9780429752599
Handbook of Strategies and Strategic Processing provides a state-of-the-art synthesis of conceptual, measurement, and analytical issues regarding learning strategies and strategic processing. Contributions by educational psychology experts present the clearest-yet definition of this essential and quickly evolving component of numerous theoretical frameworks that operate across academic domains. This volume addresses the most current research and theory on the nature of strategies and performance, mechanisms for unearthing individuals’ strategic behaviors, and both long-established and emerging techniques for data analysis and interpretation.