This book presents innovative instructional interventions designed to support inquiry project-based learning as an approach to equip students with 21st century skills. Instructional techniques include collaborative team-based teaching, social constructivist game design and game play, and productive uses of social media such as wikis and other online communication affordances. The book will be of interest to researchers seeking a summary of recent empirical studies in the inquiry project-based learning domain that employ new technologies as constructive media for student synthesis and creation. The book also bridges the gap between empirical works and a range of national- and international-level educational standards frameworks such as the P21, the OECD framework, AASL Standards for the 21st Century Learner, and the Common Core State Standards in the US. Of particular interest to education practitioners, the book offers detailed descriptions of inquiry project-based learning interventions that can be directly reproduced in today's schools. Further, the book provides research-driven guidelines for the evaluation of student inquiry project-based learning. Lastly, it offers education policymakers insight into establishing anchors and spaces for applying inquiry project-based learning opportunities for youth today in the context of existing and current education reform efforts. The aim of this book is to support education leaders', practitioners' and researchers' efforts in advancing inspiring and motivating student learning through transformative social constructivist inquiry-based knowledge-building with information technologies. We propose that preparing students with inquiry mindsets and dispositions can promote greater agency, critical thinking and resourcefulness, qualities needed for addressing the complex societal challenges they may face.
Networked and interconnected world, improving communication, collaboration and knowledge sharing between people and organization is very important. This book provides an insight into knowledge management practices and their applications to a wide range of complex issues.
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.
This book describes how a support structure can be built to enhance peer-to-peer (and also students-to-lecturers) communication and support. It informs lecturers on how they can decide if they should adopt one or more social media tools to facilitate students’ learning, communication, and support for an internship program. This book introduces a participatory design approach that can help develop a pedagogy that will make good use of social media tools on internship learning. It presents a framework for experiential internship learning, integrating helpful educational practices such as participatory design approach and the use of social media.
This book describes how a support structure can be built to enhance peer-to-peer (and also students-to-lecturers) communication and support. It informs lecturers on how they can decide if they should adopt one or more social media tools to facilitate students’ learning, communication, and support for an internship program. This book introduces a participatory design approach that can help develop a pedagogy that will make good use of social media tools on internship learning. It presents a framework for experiential internship learning, integrating helpful educational practices such as participatory design approach and the use of social media.
This book presents innovative instructional interventions designed to support inquiry project-based learning as an approach to equip students with 21st century skills. Instructional techniques include collaborative team-based teaching, social constructivist game design and game play, and productive uses of social media such as wikis and other online communication affordances. The book will be of interest to researchers seeking a summary of recent empirical studies in the inquiry project-based learning domain that employ new technologies as constructive media for student synthesis and creation. The book also bridges the gap between empirical works and a range of national- and international-level educational standards frameworks such as the P21, the OECD framework, AASL Standards for the 21st Century Learner, and the Common Core State Standards in the US. Of particular interest to education practitioners, the book offers detailed descriptions of inquiry project-based learning interventions that can be directly reproduced in today's schools. Further, the book provides research-driven guidelines for the evaluation of student inquiry project-based learning. Lastly, it offers education policymakers insight into establishing anchors and spaces for applying inquiry project-based learning opportunities for youth today in the context of existing and current education reform efforts. The aim of this book is to support education leaders', practitioners' and researchers' efforts in advancing inspiring and motivating student learning through transformative social constructivist inquiry-based knowledge-building with information technologies. We propose that preparing students with inquiry mindsets and dispositions can promote greater agency, critical thinking and resourcefulness, qualities needed for addressing the complex societal challenges they may face.
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.
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