Technische Daten
Erscheinungsdatum
08.12.2022
Herausgeber
Springer International Publishing
Autor
Davy Tsz Kit Ng, Jac Ka Lok Leung, Maggie Jiahong Su, Iris Heung Yue Yim, Maggie Shen Qiao, Samuel Kai Wah Chu
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
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