Ai And Cognitive Modelling For Education
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Ai And Cognitive Modelling For Education
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Author : Boris Aberšek
language : en
Publisher: Springer Nature
Release Date : 2023-07-30
Ai And Cognitive Modelling For Education written by Boris Aberšek and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-30 with Education categories.
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.
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models
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Author : Jorge Garza Ulloa
language : en
Publisher: Elsevier
Release Date : 2021-11-30
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models written by Jorge Garza Ulloa and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Science categories.
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
Artificial Intelligence In Education
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Author : H. Chad Lane
language : en
Publisher: Springer
Release Date : 2013-06-22
Artificial Intelligence In Education written by H. Chad Lane and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-22 with Computers categories.
This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence in Education, AIED 2013, held in Memphis, TN, USA in July 2013. The 55 revised full papers presented together with 73 poster presentations were carefully reviewed and selected from a total of 168 submissions. The papers are arranged in sessions on student modeling and personalization, open-learner modeling, affective computing and engagement, educational data mining, learning together (collaborative learning and social computing), natural language processing, pedagogical agents, metacognition and self-regulated learning, feedback and scaffolding, designed learning activities, educational games and narrative, and outreach and scaling up.
Artificial Intelligence In Education Emerging Technologies Models And Applications
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Author : Eric C. K. Cheng
language : en
Publisher: Springer Nature
Release Date : 2022-03-17
Artificial Intelligence In Education Emerging Technologies Models And Applications written by Eric C. K. Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Computers categories.
This edited book is a collection of selected research papers presented at the 2021 2nd International Conference on Artificial Intelligence in Education Technology (AIET 2021), held in Wuhan, China on July 2-4, 2021. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. Rapid developments in artificial intelligence (AI) and the disruptive potential of AI in educational use has drawn significant attention from the education community in recent years. For educators entering this uncharted territory, many theoretical and practical questions concerning AI in education are raised, and issues on AI’s technical, pedagogical, administrative and socio-cultural implications are being debated. The book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well-aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how best to prepare our students and harness emerging technologies for achieving the Education 2030 Agenda as we move towards an era in which AI is transforming many aspects of our lives. Providing a broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.
Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation
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Author : Sharma, Ramesh C.
language : en
Publisher: IGI Global
Release Date : 2024-02-07
Transforming Education With Generative Ai Prompt Engineering And Synthetic Content Creation written by Sharma, Ramesh C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-07 with Education categories.
The rise of generative Artificial Intelligence (AI) signifies a momentous stride in the evolution of Large Language Models (LLMs) within the expansive sphere of Natural Language Processing (NLP). This groundbreaking advancement ripples through numerous facets of our existence, with education, AI literacy, and curriculum enhancement emerging as focal points of transformation. Within the pages of Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, readers embark on a journey into the heart of this transformative phenomenon. Generative AI's influence extends deeply into education, touching the lives of educators, administrators, policymakers, and learners alike. Within the pages of this book, we explore the intricate art of prompt engineering, a skill that shapes the quality of AI-generated educational content. As generative AI becomes increasingly accessible, this comprehensive volume empowers its audience, by providing them with the knowledge needed to navigate and harness the potential of this powerful tool.
Handbook Of Artificial Intelligence In Education
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Author : Benedict du Boulay
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-01-20
Handbook Of Artificial Intelligence In Education written by Benedict du Boulay and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Education categories.
Gathering insightful and stimulating contributions from leading global experts in Artificial Intelligence in Education (AIED), this comprehensive Handbook traces the development of AIED from its early foundations in the 1970s to the present day.
Uses Of Artificial Intelligence In Stem Education
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Author : Xiaoming Zhai
language : en
Publisher: Oxford University Press
Release Date : 2024-10-09
Uses Of Artificial Intelligence In Stem Education written by Xiaoming Zhai and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Computers categories.
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. Uses of AI in STEM Education, comprising 25 chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technological tools. As the chapters unfold, readers learn about innovative AI applications, from automated scoring systems in biology, chemistry, physics, mathematics, and engineering to intelligent tutors and adaptive learning. The book also touches upon the nuances of AI in supporting diverse learners, including students with learning disabilities, and the ethical considerations surrounding AI's growing influence in educational settings. It showcases the transformative potential of AI in reshaping STEM education, emphasizing the need for adaptive pedagogical strategies that cater to diverse learning needs in an AI-centric world. The chapters further delve into the practical applications of AI, from scoring teacher observations and analyzing classroom videos using neural networks to the broader implications of AI for STEM assessment practices. Concluding with reflections on the new paradigm of AI-based STEM education, this book serves as a comprehensive guide for educators, researchers, and policymakers, offering insights into the future of STEM education in an AI-driven world.
Teaching And Learning In The Age Of Generative Ai
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Author : Joseph Rene Corbeil
language : en
Publisher: Taylor & Francis
Release Date : 2025-04-30
Teaching And Learning In The Age Of Generative Ai written by Joseph Rene Corbeil and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Education categories.
Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications. The increasing accessibility of AI technologies among K-12 and higher education students has raised extensive concerns around academic integrity, though a deeper lineage of research and development suggests that these tools may be used to supplement instruction, prioritize critical thinking, and promote digital literacy. Bookended by in-depth analyses of the historical and future trajectories of artificial intelligence in education, this comprehensive resource provides evidence-based strategies for classroom implementation and helpful summaries of common benefits and risks. Teaching assistance, personalized learning, redefined assessments, anti-bias measures, and safeguards against misconduct and privacy infringement are among the wealth of topics addressed in these chapters. This book is an ideal text for undergraduate and graduate students of teacher education and curriculum and instruction as well as for higher education teaching faculty, school technology coordinators, and talent development personnel in training and in service.
Artificial Intelligence In Education
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Author : R. Luckin
language : en
Publisher: IOS Press
Release Date : 2007-06-29
Artificial Intelligence In Education written by R. Luckin and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-29 with Computers categories.
The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualised as a research community and Interactive Learning Environments were initially developed. Technology is smaller, more mobile, networked, pervasive and often ubiquitous as well as being provided by the standard desktop PC. This creates the potential for technology supported learning wherever and whenever learners need and want it. However, in order to take advantage of this potential for greater flexibility we need to understand and model learners and the contexts with which they interact in a manner that enables us to design, deploy and evaluate technology to most effectively support learning across multiple locations, subjects and times. The AIED community has much to contribute to this endeavour. This publication contains papers, posters and tutorials from the 2007 Artificial Intelligence in Education conference in Los Angeles, CA, USA.
Artificial Intelligence In Education
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Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-08-18
Artificial Intelligence In Education written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-18 with Computers categories.
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education