Artificial Intelligence In The Primary Classroom

Download Artificial Intelligence In The Primary Classroom PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence In The Primary Classroom book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Artificial Intelligence in the Primary Classroom

Author: Gemma Clark
language: en
Publisher: Crown House Publishing Ltd
Release Date: 2024-05-28
Artificial intelligence (AI) has sparked a huge debate among teachers and school leaders. Many questions arise about the trajectory of this new technology and where it will take us. How will we differentiate between student-authored work and AI-generated content? Will it lead to a loss of creativity and critical thinking skills? 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 part of our reality, and Gemma Clark firmly believes that embracing its potential is in our best interests. In an era defined by technological advances, 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 demonstrates how AI-powered tools can alleviate administrative burdens, enabling teachers to focus on the important job of nurturing young minds and to channel their energy and resources into higher-impact activities, such as crafting tailored learning experiences, giving children personalised feedback, and improving engagement. From time-consuming tasks like lesson planning, assessment, marking and automating report-writing processes to facilitating content creation, the book details tangible ways in which AI can streamline workflows, improve teaching and restore work-life balance. 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 sports 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. Gemma provides transferrable ideas and lesson plans with step-by-step instructions that can be adapted and used in secondary settings, as well as primary. 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.
The Use of Artificial Intelligence in the Public Sector in Shanghai

This book examines how Shanghai aims to improve public service provision by accelerating the use of artificial intelligence (AI) in the public sector. After clarifying the technical and social factors that shape the use of AI in this area, the book delves into the AI policy environment and AI ecosystem of Shanghai to gauge the city’s capacity to implement public sector AI applications. Then it examines how this capacity translates into real-world policy initiatives through the investigation of case studies. It highlights the analytical, operational and political capabilities that determine the strengths and limitations of such initiatives in deploying AI in the public sector, and it assesses their impacts on public service provision in Shanghai. By using the findings on Shanghai to gain a deeper understanding of key topics in public sector AI research, this book also contributes new knowledge about the use of AI to improve the provision of public services.
AI Literacy in K-16 Classrooms

Artificial Intelligence is at the top of the agenda for education leaders, scientists, technologists and policy makers in educating the next generation across the globe. Beyond applying AI in daily life applications and educational tools, understanding how to learn and teach AI is increasingly important. Despite these emerging technology breakthroughs, AI learning is still new to educators especially to K-16 teachers. There is a lack of evidence-based studies that inform them about AI learning, including design principles for building a set of curriculum content, and pedagogical approaches as well as technological tools. Teaching AI concepts and techniques from programming languages and developmentally appropriate learning tools (e.g., robotics, serious games, software, intelligent agents) across different education levels emerged in recent years. The primary purpose of this book is to respond to the need to conceptualize the emerging term “AI literacy” and investigate how to teach and learn AI in K-16 education settings. This book examines different aspects of learning artefacts, pedagogies, content knowledge and assessment methods of AI literacy education, from theoretical discussions to practical recommendations for curriculum and instructional design. An exhaustive summary of current evidence with examples is illustrated in this book, as well as cutting-edge research that serves as an AI literacy model for different countries’ contexts. Part I, “Conceptualizing AI literacy”, provides a detailed discussion on the development of the concepts and frameworks on AI literacy education, discusses the differences and similarities between AI in education (AIED) and AI literacy education, and illustrates the reasons why K-16 students need to learn AI. These concepts are brought together in Part II, “K-16 AI literacy education” to further summarize the pedagogies, learning content, learning tools and assessment methods to inform K-16 educators how to design their AI instruction at each education level. After that, part III “AI literacy for instructional designers” explores how instructional designers (i.e., AI developers and teachers) prepare themselves to become ready to design developmentally appropriate tools, platforms, services and curricula to empower students with AI literacy skills.