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Beschreibung
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 toteach 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-16educators 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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Technische Daten


Erscheinungsdatum
08.12.2022
Sprache
Englisch
EAN
9783031188794
Herausgeber
Springer International Publishing
Sonderedition
Nein
Autor
Davy Tsz Kit Ng, Jac Ka Lok Leung, Maggie Jiahong Su, Iris Heung Yue Yim, Maggie Shen Qiao, Samuel Kai Wah Chu
Seitenanzahl
150
Auflage
1
Einbandart
Gebundene Ausgabe
Autorenporträt
Dr. Samuel Kai Wah Chu is an Associate Professor at the Faculty of Education, The University of Hong Kong (HKU). He has obtained 2 PhDs in Education – one focusing on e-Learning from University College London, Institute of Education (2017) and another one focusing on Information and Library Science from HKU (2005). His areas of expertise include AI literacy, gamified learning, 21st Century Skills, and Social Media in Education. He has been involved in over 70 research projects with a total funding of US$ 9,391,342. He has published more than 400 articles and books, with over 100 of them appearing in international academic journals. Furthermore, Dr. Chu is the Co-Founder and Co-Editor for the journal Information and Learning Sciences. He is also a Member of the Humanities and Social Sciences Panel of the Research Grants Council of HK. He has received many awards including the Faculty Outstanding Researcher Award in 2013, Faculty’s Knowledge Exchange Award in 2016 and Excellent Health Promotion Project Award from Food and Health Bureau in 2017. He's ranked among the top 2% of scholars in 2 research areas: Information & Library Sciences and Education (PLoS Biol 18(10), 2020, a study by Stanford University), and achieved an h-index of 39 over the years. He has been a Consultant for UNESCO Bangkok, Education Bureau, Oxford University Press, Pearson Education Asia, and is currently serving as the ASIS&T Director of Chapter Assembly (2020-2021). He is also an Advisor for EdTech startups at HK Science and Technology Parks and the Founding Chairman of Academy 22 Education for All Foundation. One of his advisory companies is now valued at $0.3 billion HK.
Schlagwörter
21st century skills, AI literacy, artificial intelligence, curriculum, learning artefacts, AI ethics
Thema-Inhalt
JNV - Lehrmittel, Lerntechnologien, E-Learning UYQ - Künstliche Intelligenz JNMT - Lehrerausbildung
Höhe
235 mm
Breite
15.5 cm

Transparenz & Sicherheit

Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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