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010 a| 2022028544;

020 a| 9781032009216q| (hardback);

020 a| 9781032009216q| (paperback);

020 z| 9781003181187q| (ebook);

035 a| (WaSeSS)ssj0002736679;

040 a| DLCb| engc| DLCd| WaSeSS;

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049 a| EREEa| NEHH;

050 00 a| LB1028.43b| .A795 2023;

082 00 a| 371.33/42| 23/eng/20220908;

245 00 a| Artificial intelligence in STEM educationh| [electronic resource] :b| the paradigmatic shifts in research, education, and technology /c| edited by Fan Ouyan, Pengcheng Jiao, Bruce M. McLaren, Amir H. Alavi.;

250 a| First edition.;

260 a| Boca Raton, FL :b| CRC Press,c| 2023.;

263 a| 2212;

300 a| pages cm.;

490 0 a| Chapman & Hall/CRC artificial intelligence and robotics series;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "Artificial intelligence (AI) opens new opportunities for science, technology, engineering and mathematics (STEM) education. AI in education (AIED) has undergone several research, practice, and technological paradigmatic shifts in its brief history, which can be particularly observed in STEM education. The development of AI in STEM education has experienced significant shifting of the focuses during the last decade. In general, it has been reshaped to gradually emphasize the learner-centered, while weakening the teacher-directed instruction mode. This has led to a change between the three paradigms: leaner-receiver, learner-partner, learner-leader. Consequently, supporting AI frameworks have been significantly improved from intelligent tutoring systems (ITSs), exploratory learning environments (ELEs) to human-centered participatory (HCP) smart education. This book aims to track the paradigmatic shifts of AI in STEM education and intends to highlight the reasons behind these changes as well as explain how the AI techniques have been improved to ensure the efficiency of the shifts. AI in STEM Education is a must-read for researchers, engineers, educators and policy-makers who are interested in opportunities and challenges of this growing field"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Artificial intelligencex| Educational applications.=| ^A255328;

650 0 a| Sciencex| Study and teachingx| Technological innovations.=| ^A21451;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Ouyan, Fan.?| UNAUTHORIZED;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003181187;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6656987-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/18/2025x| EBOOKz| JERESOURCE;

Artificial intelligence in STEM education the paradigmatic shifts in research, education, and technology / edited by Fan Ouyan, Pengcheng Jiao, Bruce M. McLaren, Amir H. Alavi.

Other author	Ouyan, Fan.
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton, FL : CRC Press, 2023.
Description	pages cm.
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Artificial intelligence--Educational applications. Science--Study and teaching. --Technological innovations.

Series	Chapman & Hall/CRC artificial intelligence and robotics series
Abstract	"Artificial intelligence (AI) opens new opportunities for science, technology, engineering and mathematics (STEM) education. AI in education (AIED) has undergone several research, practice, and technological paradigmatic shifts in its brief history, which can be particularly observed in STEM education. The development of AI in STEM education has experienced significant shifting of the focuses during the last decade. In general, it has been reshaped to gradually emphasize the learner-centered, while weakening the teacher-directed instruction mode. This has led to a change between the three paradigms: leaner-receiver, learner-partner, learner-leader. Consequently, supporting AI frameworks have been significantly improved from intelligent tutoring systems (ITSs), exploratory learning environments (ELEs) to human-centered participatory (HCP) smart education. This book aims to track the paradigmatic shifts of AI in STEM education and intends to highlight the reasons behind these changes as well as explain how the AI techniques have been improved to ensure the efficiency of the shifts. AI in STEM Education is a must-read for researchers, engineers, educators and policy-makers who are interested in opportunities and challenges of this growing field"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2022028544
ISBN	9781032009216 (hardback)
ISBN	9781032009216 (paperback)
ISBN	(ebook)

Artificial intelligence in STEM education the paradigmatic shifts in research, education, and technology / edited by Fan Ouyan, Pengcheng Jiao, Bruce M. McLaren, Amir H. Alavi.

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