Deep Learning In Adaptive Learning Educational Behavior And Strategy PDF Download

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)
Author: Mostafa Ezziyyani
Publisher: Springer Nature
Total Pages: 256
Release: 2020-01-03
Genre: Technology & Engineering
ISBN: 3030366537

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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.


Anticipatory Behavior in Adaptive Learning Systems

Anticipatory Behavior in Adaptive Learning Systems
Author: Martin V. Butz
Publisher: Springer
Total Pages: 382
Release: 2007-09-19
Genre: Computers
ISBN: 354074262X

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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.


Adaptive Learning Environments

Adaptive Learning Environments
Author: Marlene Jones
Publisher: Springer Science & Business Media
Total Pages: 404
Release: 2012-12-06
Genre: Computers
ISBN: 3642775128

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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.


Educational equity in the age of artificial intelligence

Educational equity in the age of artificial intelligence
Author: Dr. Mara Fischer
Publisher: epubli
Total Pages: 99
Release: 2024-02-25
Genre: Education
ISBN: 3758479282

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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.


Innovative Learning Environments in STEM Higher Education

Innovative Learning Environments in STEM Higher Education
Author: Jungwoo Ryoo
Publisher: Springer Nature
Total Pages: 148
Release: 2021-03-11
Genre: Social Science
ISBN: 303058948X

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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.


Anticipatory Behavior in Adaptive Learning Systems

Anticipatory Behavior in Adaptive Learning Systems
Author: Martin V. Butz
Publisher: Springer
Total Pages: 305
Release: 2004-01-21
Genre: Computers
ISBN: 3540450025

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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.


Anticipatory Behavior in Adaptive Learning Systems

Anticipatory Behavior in Adaptive Learning Systems
Author: Giovanni Pezzulo
Publisher: Springer Science & Business Media
Total Pages: 345
Release: 2009-06-15
Genre: Technology & Engineering
ISBN: 3642025641

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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.