Artificial intelligence (AI) undoubtedly sparks debate among teachers. Questions arise about the trajectory of this new technology: where will it take us?; how will we differentiate between student-authored work and AI-generated content?; what impact will it have on the dynamics of learning and teaching within schools? These are all crucial topics for discussion, yet AI has already become an integral part of our reality, and Gemma Clark firmly believes that embracing its potential is in our best interests. In an era defined by technological advancements, Artificial Intelligence in the Primary Classroom stands as an indispensable resource that holds the key to transforming teaching and learning. For educators burdened by bureaucratic tasks that divert precious time from actual teaching, this book offers a lifeline. It showcases how AI-powered tools can alleviate administrative burdens, enabling teachers to focus more on crafting personalised and imaginative lessons that resonate with young minds. From automating report-writing processes to facilitating content creation, the book imparts tangible methods to streamline workflows and elevate teaching quality. Other examples include: Spelling Lessons: Save time when planning your spelling lessons by using AI to automatically generate a comprehensive list of phonemes or 'sounds suitable for teaching young children.' Mindfulness in the Classroom: If you are interested in incorporating mindfulness games and activities to assist children in relaxation and focus, AI can provide valuable suggestions for fostering pupil (and staff) wellbeing. PE Lessons: You don't have to be an expert in sport to teach PE. Whether it's tennis, football, rugby or running, AI can offer suggestions for activities, warm-ups and cool-downs to use in your PE lessons. Art Lessons: AI can be an excellent resource for planning art lessons, especially when seeking suggestions to emphasize one of the eight elements, such as line, shape, form, colour, value, texture, space, and value. Maths Lessons: As with spelling, AI can significantly reduce the time spent on creating maths questions and simplify the process of differentiation. Artificial Intelligence in the Primary Classroom is filled with practical strategies, engaging activities and useful tips and tricks that will save teachers time and energy as well as transferrable lesson plans with step-by-step instructions. Backed up by real-world examples throughout, this book empowers teachers to embrace AI as a tool in fostering enhanced learning experiences, while also reclaiming invaluable time for pedagogical creativity. Suitable for primary school teachers of all levels of experience.

This fully updated third edition of Teaching and Learning with Technologies in the Primary School introduces practising and student teachers to the range of ways in which technology can be used to support and extend teaching and learning opportunities in their classrooms. Newly expanded to include 50% brand new chapters reflecting the abundant changes in the field since the last edition was published, it offers practical guidance underpinned by the latest research and teaching in the field. The authors draw on the extensive experience of educators in Australia, England, Ireland, Scotland, South Africa, the U.S.A. and Wales to provide local, national and international examples of the application of digital technologies to teaching and learning across the primary curriculum. Illustrated throughout with case studies and examples together with a glossary explaining key terms, chapters focus on how technology-based practices can support the teaching of individual subjects, as well as a range of teaching and learning styles. Key and new topics covered include: - Supporting reading and writing with technology - Technology in the early years - Developing e-skills of parents - Use of Virtual Reality in learning - PedTech - Resilience in the digital world Written for all training primary teachers, as well as more experienced teachers and technology co-ordinators looking for guidance on the latest innovative practice, Teaching and Learning with Technologies in the Primary School, 3rd edition, offers advice and ideas for creative, engaging and successful teaching and learning.

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.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. To adapt to this changing world and China's fast development in the new era, 2023 2nd International Conference on Educational Innovation and Multimedia Technology to be held in March 2023. This conference takes "bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on cutting-edge research fields including Educational Innovation and Multimedia Technology. EIMT 2023 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into industrial solutions, and brings together talent, technology and capital to drive development. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange!

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education.

This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.

These two volumes constitute the revised selected papers of the 5th International Conference, CSEI 2023, held in Kunming, China, during August 11–13, 2023. The 76 full papers and the 21 short papers included in this volume were carefully reviewed and selected from 297 submissions. They focus on computer science, education informatization and engineering education, innovative application for the deeper integration of education practice and information technology, educational informatization and big data for education.

Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‐making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI. This book: Offers a brief history of AI and covers science and engineering applications Explores the modeling of physical phenomena using AI Discusses explainable AI (XAI) applications Covers the ethics of AI in science and engineering Features real‐world case studies Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.