Ai And Cognitive Modelling For Education

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AI and Cognitive Modelling for Education

Author : Boris Aberšek,Andrej Flogie,Igor Pesek
Publisher : Springer Nature
Page : 236 pages
File Size : 47,7 Mb
Release : 2023-07-30
Category : Education
ISBN : 9783031353314

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AI and Cognitive Modelling for Education by Boris Aberšek,Andrej Flogie,Igor Pesek Pdf

This book offers a groundbreaking approach to bridging the gap between various disciplines involved in cognitive modeling in education. By drawing on the fields of learning, neuro science, cognitive science, neurobiology, and computer science, it provides a new perspective on how we can integrate these disciplines with education to create more effective learning environments. The main objective of this book is to delve into the ethical, sociological, and technological questions surrounding the introduction of intelligent and smart learning environments in education. By analyzing these issues, this book aims to bridge the gap between the various disciplines involved in cognitive modeling and education, while highlighting the benefits and risks associated with these advancements. With the emergence of AI-based tutors, coaches, and learning environments, students now have access to a new type of self-learning and self-training that was previously unavailable. Distance learning has become increasingly popular in recent years, and the use of computer-assisted learning tools has revolutionized the way we think about education. The goal of education must be to instill in students a desire to learn for themselves, and this can only be achieved through active, self-directed, and reflective learning. With intelligent tutoring systems, students are empowered to take an active role in their own education, rather than simply being passive recipients of information. This book offers practical strategies for teachers to facilitate this transition, enabling them to act as facilitators and guides rather than one-way communicators. By embracing this new approach to education, we can help students become lifelong learners who are equipped with the skills they need to succeed in the 21st century. As we cannot predict the future with certainty, the true effects of education may only be revealed in the long run, making it critical to understand the potential consequences of introducing these new learning tools. By exploring these complex topics, this book offers valuable insights for educators, policymakers, and anyone interested in the future of education.

Artificial Intelligence in Education

Author : Vania Dimitrova
Publisher : IOS Press
Page : 852 pages
File Size : 50,7 Mb
Release : 2009
Category : Computers
ISBN : 9781607500285

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Artificial Intelligence in Education by Vania Dimitrova Pdf

Artificial Intelligence in Education conference 2009 (AIED) is part of a series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. This title covers papers presented at the Artificial Intelligence in Education conference 2009 (AIED).

AI and education

Author : Miao, Fengchun,Holmes, Wayne,Ronghuai Huang,Hui Zhang,UNESCO
Publisher : UNESCO Publishing
Page : 50 pages
File Size : 53,5 Mb
Release : 2021-04-08
Category : Political Science
ISBN : 9789231004476

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AI and education by Miao, Fengchun,Holmes, Wayne,Ronghuai Huang,Hui Zhang,UNESCO Pdf

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Artificial Intelligence in Education

Author : Rosemary Luckin,Kenneth R. Koedinger,Jim E. Greer
Publisher : IOS Press
Page : 764 pages
File Size : 52,9 Mb
Release : 2007
Category : Computers
ISBN : 9781586037642

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Artificial Intelligence in Education by Rosemary Luckin,Kenneth R. Koedinger,Jim E. Greer Pdf

The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualized as a research community and Interactive Learning Environments were initially developed.

Intelligent Tutoring Systems

Author : Claude Frasson,Gilles Gauthier
Publisher : Intellect Books
Page : 312 pages
File Size : 49,6 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018892920

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Intelligent Tutoring Systems by Claude Frasson,Gilles Gauthier Pdf

The evolution from Computer-Aided Instruction (CAI) to Intelligent Computer-Aided Instruction (ICAI) was the first step by which education and artificial intelligence communities began to look at each other's work. This text looks at the evolution toward Intelligent Tutoring Systems (ITS) which can be thought of as a step beyond ICAI, leading to more classes of problems and approaches. ITS involves artificial intelligence concepts approaches, dynamic student modelling, human cognition, intelligent user interfaces, intelligent help systems and the use of strategies.

In Order to Learn

Author : Frank E. Ritter,Josef Nerb,Erno Lehtinen,Timothy M. O'Shea
Publisher : Oxford University Press
Page : 255 pages
File Size : 50,7 Mb
Release : 2007-07-30
Category : Computers
ISBN : 9780195178845

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In Order to Learn by Frank E. Ritter,Josef Nerb,Erno Lehtinen,Timothy M. O'Shea Pdf

The order that material, for both facts and skills, is presented or explored by a learner can strongly influence what is learned, how fast performance increases, and sometimes, even that the material is learned at all. This text argues that these effects are more pervasive and important than they have been treated.

Artificial Intelligence Supported Educational Technologies

Author : Niels Pinkwart,Sannyuya Liu
Publisher : Springer Nature
Page : 299 pages
File Size : 52,9 Mb
Release : 2020-04-29
Category : Education
ISBN : 9783030410995

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Artificial Intelligence Supported Educational Technologies by Niels Pinkwart,Sannyuya Liu Pdf

This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.

Artificial Intelligence in Education

Author : Ulrich Hoppe,Maria Feliza Verdejo,Judy Kay
Publisher : IOS Press
Page : 566 pages
File Size : 55,8 Mb
Release : 2003
Category : Computers
ISBN : 1586033565

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Artificial Intelligence in Education by Ulrich Hoppe,Maria Feliza Verdejo,Judy Kay Pdf

This work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.

Computers As Cognitive Tools

Author : Susanne P. Lajoie,Sharon J. Derry
Publisher : Routledge
Page : 413 pages
File Size : 55,8 Mb
Release : 2013-05-13
Category : Education
ISBN : 9781136475474

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Computers As Cognitive Tools by Susanne P. Lajoie,Sharon J. Derry Pdf

Highlighting and illustrating several important and interesting theoretical trends that have emerged in the continuing development of instructional technology, this book's organizational framework is based on the notion of two opposing camps. One evolves out of the intelligent tutoring movement, which employs artificial-intelligence technologies in the service of student modeling and precision diagnosis, and the other emerges from a constructivist/developmental perspective that promotes exploration and social interaction, but tends to reject the methods and goals of the student modelers. While the notion of opposing camps tends to create an artificial rift between groups of researchers, it represents a conceptual distinction that is inherently more interesting and informative than the relatively meaningless divide often drawn between "intelligent" and "unintelligent" instructional systems. An evident trend is that researchers in both "camps" view their computer learning environments as "cognitive tools" that can enhance learning, performance, and understanding. Cognitive tools are objects provided by the instructional environment that allow students to incorporate new auxiliary methods or symbols into their social problem solving which otherwise would be unavailable. A final section of the book represents researchers who are assimilating and accommodating the wisdom and creativity of their neighbors from both camps, perhaps forming the look of technology for the future. When the idea of model tracing in a computer-based environment is combined with appreciation for creative mind-extension cognitive tools and for how a community of learners can facilitate learning, a camp is created where AI technologists and social constructivist learning theorists can feel equally at home.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Author : Jorge Garza Ulloa
Publisher : Elsevier
Page : 705 pages
File Size : 44,5 Mb
Release : 2021-11-30
Category : Science
ISBN : 9780128209349

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Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by Jorge Garza Ulloa Pdf

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

Student Modelling: The Key to Individualized Knowledge-Based Instruction

Author : Jim E. Greer,Gordon I. McCalla
Publisher : Springer Science & Business Media
Page : 389 pages
File Size : 42,9 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662030370

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Student Modelling: The Key to Individualized Knowledge-Based Instruction by Jim E. Greer,Gordon I. McCalla Pdf

This book is the result of a NATO sponsored workshop entitled "Student Modelling: The Key to Individualized Knowledge-Based Instruction" which was held May 4-8, 1991 at Ste. Adele, Quebec, Canada. The workshop was co-directed by Gordon McCalla and Jim Greer of the ARIES Laboratory at the University of Saskatchewan. The workshop focused on the problem of student modelling in intelligent tutoring systems. An intelligent tutoring system (ITS) is a computer program that is aimed at providing knowledgeable, individualized instruction in a one-on-one interaction with a learner. In order to individualize this interaction, the ITS must keep track of many aspects of the leamer: how much and what he or she has leamed to date; what leaming styles seem to be successful for the student and what seem to be less successful; what deeper mental models the student may have; motivational and affective dimensions impacting the leamer; and so ono Student modelling is the problem of keeping track of alI of these aspects of a leamer's leaming.

Goal-driven Learning

Author : Ashwin Ram,David B. Leake
Publisher : MIT Press
Page : 548 pages
File Size : 44,5 Mb
Release : 1995
Category : Computers
ISBN : 0262181657

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Goal-driven Learning by Ashwin Ram,David B. Leake Pdf

Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book

An Introduction to Artificial Intelligence in Education

Author : Shengquan Yu,Yu Lu
Publisher : Springer Nature
Page : 205 pages
File Size : 48,9 Mb
Release : 2021-11-29
Category : Education
ISBN : 9789811627705

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An Introduction to Artificial Intelligence in Education by Shengquan Yu,Yu Lu Pdf

This book systematically reviews a broad range of cases in education that utilize cutting-edge AI technologies. Furthermore, it introduces readers to the latest findings on the scope of AI in education, so as to inspire researchers from non-technological fields (e.g. education, psychology and neuroscience) to solve education problems using the latest AI techniques. It also showcases a number of established AI systems and products that have been employed for education. Lastly, the book discusses how AI can offer an enabling technology for critical aspects of education, typically including the learner, content, strategy, tools and environment, and what breakthroughs and advances the future holds. The book provides an essential resource for researchers, students and industrial practitioners interested and engaged in the fields of AI and education. It also offers a convenient handbook for non-professional readers who need a primer on AI in education, and who want to gain a deeper understanding of emerging trends in this domain.

Artificial Intelligence in Education

Author : C.-K. Looi,G. McCalla,B. Bredeweg
Publisher : IOS Press
Page : 1040 pages
File Size : 44,7 Mb
Release : 2005-07-14
Category : Computers
ISBN : 9781607501206

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Artificial Intelligence in Education by C.-K. Looi,G. McCalla,B. Bredeweg Pdf

The field of Artificial Intelligence in Education has continued to broaden and now includes research and researchers from many areas of technology and social science. This study opens opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area, including artificial intelligence, other areas of computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology, linguistics, and the many domain-specific areas for which Artificial Intelligence in Education systems have been designed and built. An explicit goal is to appeal to those researchers who share the perspective that true progress in learning technology requires both deep insight into technology and also deep insight into learners, learning, and the context of learning. The theme reflects this basic duality.

Advances in Personalized Web-Based Education

Author : Konstantina Chrysafiadi,Maria Virvou
Publisher : Springer
Page : 156 pages
File Size : 49,6 Mb
Release : 2014-11-28
Category : Technology & Engineering
ISBN : 9783319128955

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Advances in Personalized Web-Based Education by Konstantina Chrysafiadi,Maria Virvou Pdf

This book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. In order to make the student modeling process clear, a literature review concerning student modeling techniques and approaches during the past decade is presented in a special chapter. A novel student modeling approach including fuzzy logic techniques is presented. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.