Explainable Ai For Education Recent Trends And Challenges
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Explainable Ai For Education Recent Trends And Challenges
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Author : Tanu Singh
language : en
Publisher: Springer Nature
Release Date : 2024-11-27
Explainable Ai For Education Recent Trends And Challenges written by Tanu Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.
“Explainable AI for Education: Recent Trends and Challenges” is a comprehensive exploration of the intersection between artificial intelligence (AI) and education. In this book, we delve into the critical need for transparency and interpretability in AI systems deployed within educational contexts. Key Themes Understanding AI in Education: We provide a concise overview of AI techniques commonly used in educational settings, including recommendation systems, personalized learning, and assessment tools. Readers will gain insights into the potential benefits and risks associated with AI adoption in education. The Black-Box Problem: AI models often operate as “black boxes,” making it challenging to understand their decision-making processes. We discuss the implications of this opacity and emphasize the importance of explainability. Explainable AI (XAI) Techniques: From rule-based approaches to neural network interpretability, we explore various methods for making AI models more transparent. Examples and case studies illustrate how XAI can enhance educational outcomes. Ethical Considerations: As AI becomes more integrated into education, ethical dilemmas arise. We address issues related to bias, fairness, and accountability, emphasizing responsible AI practices. Future Directions: Our book looks ahead, considering the evolving landscape of AI and its impact on education. We propose research directions and practical steps to promote XAI adoption in educational institutions.
Comparative Approach To Drivers Trends And Challenges In Online Higher Education Pre And Post Covid 19
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Author : Amemado, Dodzi Jean-Antoine
language : en
Publisher: IGI Global
Release Date : 2025-04-11
Comparative Approach To Drivers Trends And Challenges In Online Higher Education Pre And Post Covid 19 written by Amemado, Dodzi Jean-Antoine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Education categories.
Online higher education has seen significant transformations in recent years, particularly in the wake of the COVID-19 pandemic. A comparative approach to understanding the drivers, trends, and challenges in online learning reveals a shift from pre-pandemic to post-pandemic periods. Before COVID-19, online education was seen as a supplementary option for non-traditional students, driven by technological advancements and demands for flexibility. However, the pandemic created a fast adoption of online platforms, making digital learning a central feature of higher education. This shift has shown greater academic accessibility and global reach, but reveals pressing challenges related to digital equity, quality of education, and student engagement. Examining these issues may highlight the evolving nature of online higher education and provides a framework for understanding its future trajectory. Comparative Approach to Drivers, Trends, and Challenges in Online Higher Education: Pre- and Post-COVID-19 explores new strategies and challenges in global online higher education. It offers insights into the motivations behind technological adoption in universities, the obstacles faced, and emerging trends across various regions. This book covers topics such as data science, digital technology, and blended learning, and is a useful resource for educators, computer engineers, academicians, researchers, and scientists.
Ai Empowered Knowledge Management In Education
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Author : Sayan Chakraborty
language : en
Publisher: Springer Nature
Release Date : 2024-08-08
Ai Empowered Knowledge Management In Education written by Sayan Chakraborty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-08 with Computers categories.
This book explains basic ideas behind several methods used in artificial intelligence-based knowledge management techniques. It also shows how these techniques are applied in practical contexts in different education sectors. The book discusses AI-based knowledge management applications, AI-empowered knowledge management in primary and higher education, and technical and ethical challenges and opportunities.
Internet Of Behavior Based Computational Intelligence For Smart Education Systems
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Author : Ouaissa, Mariya
language : en
Publisher: IGI Global
Release Date : 2024-10-11
Internet Of Behavior Based Computational Intelligence For Smart Education Systems written by Ouaissa, Mariya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Education categories.
Smart education is transforming the way we teach and learn by incorporating advanced technologies that enhance interactivity, personalization, and efficiency. By integrating digital tools, data analytics, and innovative strategies, it can better address the needs of 21st-century learners. Central to this shift is the Internet of Behavior (IoB). As IoT grows, it collects behavior-related data and combines that data analysis with intelligent systems. While this fusion enhances personalized learning, it also raises important concerns about privacy, security, and ethics. Internet of Behavior-Based Computational Intelligence for Smart Education Systems explores the intricacies of how IoB and computational intelligence are transforming education. It offers practical insights and theoretical foundations on how behavioral data can create smarter, more adaptive learning environments. Targeting educators, technologists, and researchers, the book delves into the latest developments at the intersection of technology and education, guiding readers toward more personalized, efficient, and effective learning systems.
Global Health And Disability
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Author : Abdullah Al Shami
language : en
Publisher: Springer Nature
Release Date : 2025-05-18
Global Health And Disability written by Abdullah Al Shami and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-18 with Medical categories.
This book aims to shed light on the pressing and often overlooked challenges faced by individuals with disabilities in low- and middle-income countries (LMICs). The book explores how structural barriers, limited resources, and socio-cultural factors contribute to the inequities in access to essential services such as health care, education, and employment for this vulnerable population. Through a detailed analysis, the book highlights the disparities that exist between high-income countries and LMICs, offering insights into the unique obstacles that individuals with disabilities encounter in these regions. This book is of particular importance to the field currently due to the growing recognition of disability as a critical aspect of global health and development. The recent focus on inclusivity in global agendas, such as the Sustainable Development Goals (SDGs), underscores the need for a comprehensive understanding of how disability intersects with poverty, inequality, and access to essential services.
Personalized Learning Through Adaptive Systems And Intelligent Tutoring
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Author : Benabid, Assia
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Personalized Learning Through Adaptive Systems And Intelligent Tutoring written by Benabid, Assia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Education categories.
Artificial intelligence (AI) transforms e-learning through tools like personalized online learning experiences, adaptive learning systems, and intelligent tutors. AI-driven technologies adjust the content based on the individual learner’s needs, enhancing engagement and learning outcomes. As these intelligent tools utilize data to gain insight into the user and user needs, it is imperative that the data be kept private. Further research is important to address issues concerning algorithmic bias impacting equality. Personalized Learning Through Adaptive Systems and Intelligent Tutoring delves into natural language processing for content generation and student feedback, as well as AI’s role in enhancing learner engagement and motivation through gamification and virtual environments. It addresses future trends and innovations in AI for education, featuring case studies and contributions from researchers, educators, and platform developers. Covering topics such as recommendation systems, educational disparities, and metacognitive awareness, this book is an excellent resource for teachers, e-learning platform developers, computer scientists, professionals, researchers, scholars, academicians, and more.
Ai Enhanced Teaching Methods
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Author : Ahmed, Zeinab E.
language : en
Publisher: IGI Global
Release Date : 2024-04-22
Ai Enhanced Teaching Methods written by Ahmed, Zeinab E. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Education categories.
The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.
Trust And Inclusion In Ai Mediated Education
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Author : Dora Kourkoulou
language : en
Publisher: Springer Nature
Release Date : 2024-09-27
Trust And Inclusion In Ai Mediated Education written by Dora Kourkoulou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Education categories.
Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines is a resource for researchers and practitioners in a field where the mainstreaming of AI technologies, and their increased capacities for deception, have produced confusion and fear. Identifying theoretical frameworks and practices in teaching with and training trustworthy and inclusive AI technology sheds light on the new challenges and opportunities for learning machines and their intersections with human learning. The book looks into the history of developing AI technology and algorithms. It offers theoretical models for best practices, interpretation, and evaluation, taking into account especially the needs of contemporary learners and their advanced literacies in cyber-social environments. The book presents in-depth analyses of recent and ongoing applications of state-of-the-art AI technologies in learning environments and classrooms assessments, ending with an interview with George Ritzer on McDonaldization and Artificial Intelligence.
Radical Solutions For Artificial Intelligence And Digital Transformation In Education
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Author : Daniel Burgos
language : en
Publisher: Springer Nature
Release Date : 2024-12-17
Radical Solutions For Artificial Intelligence And Digital Transformation In Education written by Daniel Burgos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Education categories.
This book facilitates understanding of how artificial intelligence (AI) aids and integrates digital transformation (DT) in education institutions worldwide in various scenarios: learning environments (learning innovation, learning management systems, data and analytics), emerging education trends (business trends, strategic technologies), administrative systems (recruit, retain, advance, enterprise business capabilities, student information systems), and digital strategy execution (business models and opportunities, strategic planning and governance). It serves as a reference for university lecturers, schoolteachers, policymakers, and international organizations, who will find in its various chapters practical recommendations and discoveries from practice, ready to be implemented in their contexts. Chapters 1, 2, 7 and 9 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Ai Assisted Assessment In Education
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Author : Goran Trajkovski
language : en
Publisher: Springer Nature
Release Date : 2025-04-28
Ai Assisted Assessment In Education written by Goran Trajkovski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Education categories.
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques, and the practical implementation of AI tools in various educational settings. The book addresses the pressing need for more efficient, personalized, and effective assessment methods in an increasingly complex educational landscape. It tackles the challenge of balancing technological innovation with ethical considerations, data privacy, and the preservation of human judgment in education. By examining AI's potential to enhance learning outcomes, provide real-time feedback, and offer insights into student progress, the book aims to equip readers with the knowledge and strategies necessary to navigate the evolving intersection of AI and assessment. It acknowledges the challenges and ethical implications of integrating AI into high-stakes testing while offering guidance on implementing these technologies responsibly. Through case studies, best practices, and forward-looking analysis, the book serves as a comprehensive guide for those seeking to leverage AI to create more engaging, equitable, and effective assessment practices, ultimately aiming to improve the overall quality of education in a rapidly changing world.