Artificial Intelligence In Education The Power And Dangers Of Chatgpt In The Classroom
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Artificial Intelligence In Education The Power And Dangers Of Chatgpt In The Classroom
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Author : Amina Al-Marzouqi
language : en
Publisher: Springer Nature
Release Date : 2024-03-29
Artificial Intelligence In Education The Power And Dangers Of Chatgpt In The Classroom written by Amina Al-Marzouqi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning. It is also integrated with existing learning management systems and educational technology platforms to enhance their capabilities. In research, ChatGPT is used for natural language processing and sentiment analysis to gather insights on student learning experiences and educational outcomes. However, it is important to note that there are also ethical and privacy concerns that come with using language models like ChatGPT in education, such as data protection and the potential for bias. Overall, the use of ChatGPT in education has the potential to revolutionize the way we learn, teach, and access information. The book seeks to publish original manuscripts that cover a broad range of topics, from the development of new chatbot technologies and their integration into the classroom, to the examination of the ethical and pedagogical implications of these systems. By compiling the latest developments in the field and highlighting new areas for exploration, this book provides valuable insights and perspectives for researchers, educators, and practitioners working in the field of ChatGPT and education. The ultimate goal is to advance the understanding of ChatGPT and its role in education and to promote its effective and responsible use in the classroom and beyond.
Generative Ai In Creative Industries
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Author : Amina Al-Marzouqi
language : en
Publisher: Springer Nature
Release Date : 2025-07-04
Generative Ai In Creative Industries written by Amina Al-Marzouqi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.
This book compiles a comprehensive collection of pioneering research that addresses the multifaceted challenges and theoretical aspects of Generative AI in creative industries. Generative AI, a groundbreaking technological development, has been carving a significant niche within the creative industries. This innovative form of AI, exemplified by models like OpenAI's ChatGPT, is not only transforming the landscape of human-like text generation but is also radically reshaping creative fields such as music, literature, and visual arts. In the realm of creative industries, Generative AI serves as a catalyst for artistic innovation, offering tools for artists to push the boundaries of creativity. It assists in composing music, generating unique artworks, and even writing stories or scripts, thereby democratizing the creative process. The integration of Generative AI in these industries promises a synergy between human creativity and machine intelligence, potentially leading to novel genres and forms of art. Despite its transformative potential, the incorporation of Generative AI in creative fields is not devoid of challenges. Ethical considerations, such as authorship rights, originality, and the impact on traditional creative roles, are pivotal. Moreover, the authenticity and emotional depth of AI-generated content compared to human-created art is a subject of ongoing debate. The book aims to feature original manuscripts encompassing a wide array of topics, from the development of new generative technologies and their practical application in creative fields, to critical analysis of the ethical, legal, and cultural implications of these systems. By gathering the latest advancements in this field and spotlighting emerging avenues for research, this book serves as an invaluable resource and guide for researchers, artists, and practitioners operating at the intersection of Generative AI and creative industries.
Next Generation Ai Methodologies In Education
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Author : Cela, Eriona
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Next Generation Ai Methodologies In Education written by Cela, Eriona and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Education categories.
Next-generation artificial intelligence (AI) methodologies revolutionize education landscapes, offering innovative approaches to enhance learning experiences and streamline administrative processes. These cutting-edge technologies utilize machine learning, natural language processing, and adaptive algorithms to create personalized learning environments tailored to individual student needs. By harnessing data-driven insights, educators can identify learning gaps, facilitate collaborative experiences, and foster critical thinking skills. As AI evolves, further research into its integration in education may improve academic outcomes while preparing students for digital literacy and adaptability. Next-Generation AI Methodologies in Education explores the intersection of AI and educational practices, examining how AI revolutionizes teaching methodologies in secondary schools and colleges. It investigates the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. This book covers topics such as pre-service teaching, professional development, and digital technology, and is a useful resource for computer engineers, education professionals, academicians, business owners, researchers, and scientists.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Practical Applications Of Machine Learning And Ai Medicine Environmental Science Transportation And Education
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Author : Mzili, Toufik
language : en
Publisher: IGI Global
Release Date : 2025-02-24
Practical Applications Of Machine Learning And Ai Medicine Environmental Science Transportation And Education written by Mzili, Toufik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
Optimization, machine learning, and artificial intelligence are revolutionizing society, medicine, environmental science, transportation, and education. In medicine, AI-driven diagnostics and personalized treatments improve patient outcomes, while optimization streamlines resource allocation. Environmental science benefits from machine learning's ability to analyze complex datasets, enabling sustainable practices and climate predictions. In transportation, optimization enhances logistics and traffic flow, with AI powering autonomous vehicles and predictive maintenance. Across all areas, these technologies drive efficiency, innovation, and smarter decision-making. Practical Applications of Machine Learning and AI: Medicine, Environmental Science, Transportation, and Education provides deeper understanding of the complexities of optimization, machine learning and AI, examining their theoretical foundations. Furthermore, it contributes to the ongoing advancement of these fields, practical applications, and transformative potentials. Covering topics including Medical Image Segmentation, student performance prediction, and pothole detection, this book is an excellent resource for computer scientists, researchers, scholars, academicians, professionals, and more.
Navigating Barriers To Ai Implementation In The Classroom
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Author : Sarwar, Uzma
language : en
Publisher: IGI Global
Release Date : 2025-06-04
Navigating Barriers To Ai Implementation In The Classroom written by Sarwar, Uzma and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Education categories.
As artificial intelligence (AI) technologies advance, their potential to transform education is promising. From personalized learning to intelligent tutoring systems, AI offers tools that enhance student engagement and streamline administrative tasks. However, implementing AI in the classroom comes with challenges. Educators, administrators, and policymakers must navigate barriers, including limited technical infrastructure, data privacy concerns, lack of teacher training, and equity access across schools. Understanding and addressing these obstacles ensures that AI enhances educational equity rather than increasing existing divides. Further exploration may reveal key challenges and identify strategies for integrating AI into classroom practice. Navigating Barriers to AI Implementation in the Classroom investigates the ways in which AI alters education by streamlining administrative tasks, introducing new individualized learning opportunities, and transforming instructional strategies. It examines the capabilities of AI in education, including intelligent instruction, automated assessments, data-driven insights, adaptive learning systems, and ethical issues related to its employment in classrooms. This book covers topics such as classroom management, policymaking, and student engagement, and is a useful resource for educators, computer engineers, policymakers, academicians, researchers, and scientists.
Bridging Global Divides For Transnational Higher Education In The Ai Era
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Author : Naseer, Fawad
language : en
Publisher: IGI Global
Release Date : 2024-11-15
Bridging Global Divides For Transnational Higher Education In The Ai Era written by Naseer, Fawad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Education categories.
Artificial intelligence (AI) serves as a transformative force in bridging global divides within transnational higher education by reimagining access and engagement across diverse cultural landscapes. By harnessing AI’s capabilities to analyze and adapt educational content, institutions can create inclusive learning environments that resonate with students’ unique cultural and contextual realities. In this way, AI not only enhances the quality of education but also cultivates a global academic ecosystem characterized by shared understanding and mutual growth. Bridging Global Divides for Transnational Higher Education in the AI Era examines the transformative role of AI in reshaping education across borders. It presents insights from leading academicians and practitioners who explore AI’s potential to enhance educational methodologies, address administrative challenges, and promote inclusivity within transnational higher education. Covering topics such as augmented reality (AR), financial stress, and task-based learning, this book is an excellent resource for educators, policymakers, administrators, researchers, academicians, and more.
Modern Methods For Ai Integrated Language Curriculum
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Author : Jomaa, Nayef
language : en
Publisher: IGI Global
Release Date : 2025-04-25
Modern Methods For Ai Integrated Language Curriculum written by Jomaa, Nayef and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Education categories.
In today’s modern educational system, the integration of AI in language instruction transforms traditional curriculum. Innovative strategies for AI have become a part of the language learning curriculum and help personalize student experiences and support educators by creating a more adaptive teaching environment. By combining linguistic theory with cutting-edge technology, this framework redefines how learners engage with language in both digital and real-world contexts, paving the way for more dynamic, inclusive, and effective language education. Modern Methods for AI-Integrated Language Curriculum explores the use of AI in teaching and language learning. It examines current practices and new strategies in AI integration into language learning curriculum, and possible challenges. This book covers topics such as artificial intelligence, curriculum development, and education technology, and is a useful resource for educators, academicians, computer engineers, and researchers.
Rethinking The Pedagogy Of Sustainable Development In The Ai Era
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Author : Chinedu, Caleb Chiidozie
language : en
Publisher: IGI Global
Release Date : 2025-03-14
Rethinking The Pedagogy Of Sustainable Development In The Ai Era written by Chinedu, Caleb Chiidozie and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Education categories.
Artificial intelligence (AI) technologies can transform the teaching and learning of sustainable development. AI-driven innovative approaches can transform traditional educational practices and encourage experimentation with and development of novel strategies that harness AI's capabilities to enhance sustainability education. By incorporating practical strategies for integrating AI into sustainability education across various contexts, teachers may foster a new generation of learners equipped to contribute to a sustainable future. Additionally, the use of AI allows teachers to foster a culture of continuous improvement and creativity. Rethinking the Pedagogy of Sustainable Development in the AI Era explores the transformative potential of artificial intelligence (AI) in the context of sustainable development education. It examines how AI technologies can be leveraged to enhance the pedagogy of sustainability, offering new methods, tools, and approaches to empower learners with the necessary skills and knowledge to address global sustainability challenges. Covering topics such as circularity, power systems, and vocational pedagogy, this book is an excellent resource for educators, curriculum developers, administrators, policymakers, sustainability practitioners, professionals, researchers, scholars, academicians, and more.
Breaking Barriers With Generative Intelligence Using Gi To Improve Human Education And Well Being
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Author : Azza Basiouni
language : en
Publisher: Springer Nature
Release Date : 2024-07-25
Breaking Barriers With Generative Intelligence Using Gi To Improve Human Education And Well Being written by Azza Basiouni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-25 with Education categories.
The book constitutes the proceedings for the First International Conference on Breaking Barriers with Generative Intelligence, BBGI 2024, held in Thessaloniki, Greece, on June 10, 2024. This Workshop is part of the 20th International Conference on Intelligent Tutoring Systems (ITS2024) which was held in Thessaloniki, from June 10 to June 13, 2024. The 19 full papers and 1 short paper included in this volume were carefully reviewed and selected from a total of 24 submissions. Breaking Barriers with Generative Intelligence delves into how GI in AI improves human education and well-being. This interdisciplinary event brought together professionals from academia, industry, and government to address AI ethics, human-AI interaction, and the societal implications of GI. Participants learned to tackle social concerns and promote diversity in research and development through keynote presentations, panel discussions, and interactive workshops.