Artificial Intelligence Applications in K-12 offers authentic instances of how AI systems can be integrated into K-12 education today. As AI technologies rapidly evolve and become more accessible to primary, middle, and high schools worldwide, there is a pressing need for new demonstrations that highlight the challenges, opportunities, and ethical considerations associated with these powerful tools. This book explores the various roles of AI within pedagogy and assessment, school administration, student data management, and beyond. Its collected case studies present practical ideas for enhancing educational institutions and offer replicable approaches across a range of learning priorities, from fostering motivation and engagement to improving feedback and achieving educational goals. Researchers, faculty members of teacher and leadership preparation programs, curriculum and instruction specialists, school-based instructional designers, technology coaches, and other readers will gain fresh insights from diverse global perspectives on topics such as generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, facial recognition software, and more.

This book constitutes selected papers presented during the First International Conference on Digitization in Education, MoStart 2023, held in Mostar, Bosnia and Herzegovina, in April 2023. The 12 presented papers were thoroughly reviewed and selected from the 30 submissions. The proceedings cover a diverse range of topics, including artificial intelligence and robotics in education, games and simulations, intelligent tutoring systems, augmented and virtual reality, natural language processing, computer vision, IoT and metaverse applications, learning analytics, deep learning, and ethical issues in AI applications in education and law.

"This book seeks to examine the efforts made to bridge the gap between student and educator with computer applications through an in-depth discussion of applications employed to overcome the problems encountered during educational processes"--Provided by publisher.

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today’s higher education contexts. As the use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations that are inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights into enhancing academic institutions and addressing diverse learning priorities, such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more.

This book problematizes and explores appropriate ways of using AI technology that can augment educational practice, especially in K-12 teaching and learning. Since the launch of OpenAI ChatGPT in November 2022, people have been debating “to chat or to cheat” while more and more educators have started to explore “to add or to integrate” it into teaching and learning. A list of questions has been on the way. What can ChatGPT produce? How accurate can the contents produced by the GPT be? What are the considerations that an instructor should have when using AI technology for student learning? To what extent can ChatGPT compete with humans in terms of learning? ChatGPT is just a technology tool, but it drops a huge bomb in the field of education, and even changes the way many think about education. The contributors of this book, as well as probing the ethical conundrums presented by generative AI and other new technologies in AI&ED, summarize an overview of practice, provided first-hand experiences, and suggested strategies and methods that are workable in the field. This cutting-edge volume will be of interest to researchers, scholars and practitioners of education, education technology, sociology, ethics and artificial intelligence. It was originally published as a special issue of Computers in the Schools.

Artificial intelligence is revolutionizing teacher education by offering innovative applications and strategies to enhance the learning experience for educators and students. From personalized learning platforms to intelligent tutoring systems, AI can transform traditional teaching methods. These intelligent technologies streamline administrative tasks while supporting the development of essential skills like critical thinking and faculty collaboration. As teacher education programs continue to integrate AI tools, future educators learn to harness data-driven insights and create engaging, effective learning environments. Exploring these applications further emphasizes the potential of AI to positively reshape the teacher education sphere. AI Applications and Strategies in Teacher Education explores the landscape of AI in training and supporting educators. The book serves educators seeking insights into effective utilization of AI in a professional setting and the integration of AI in teaching practices. This book covers topics such as educational technologies, higher education, and diversity and equity, and is a useful resource for academicians, teachers, professors, education professionals, data scientists, computer engineers, and researchers.

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.

It has quickly become apparent in the past year that online learning is not only an asset, but it is critical to the continued education of youth during times of crisis. However, districts and schools across the nation are in need of guidance and practical, research-backed approaches to distance and hybrid learning. The current COVID-19 crisis has demonstrated that effective learning in K-12 is possible, but many districts struggled and continue to struggle in achieving that reality. There is also the growing consensus that even if things “return to normal,” distance and blended learning strategies should continue to be employed in many ways across the K-12 environment. Designing Effective Distance and Blended Learning Environments in K-12 provides key insights into the ways that school districts and educators from across the world have effectively designed and implemented distance and blended learning approaches to enable and enhance student learning. The diverse collection of authors from various demographics and roles in school systems will benefit readers across a wide spectrum of school community stakeholders. There will also be an emphasis on how research and theory is put into practice, along with an honest discussion of what strategies and actions were successful as well as those that were less so. This book is essential for professionals and researchers working in the field of K-12 education, particularly superintendents, curriculum developers, professional learning designers, school principals, instructional technology specialists, and teachers, as well as administrators, researchers, academicians, and students interested in the effective practices being used in blended learning approaches.