Artificial Intelligence in Science Education (2013–2023): Research Trends in Ten Years
科学教育中的人工智能(2013-2023):十年研究趋势
Fenglin Jia, Daner Sun, Chee-kit Looi
DOI: 10.1007/s10956-023-10077-6
期刊: Journal of Science Education and Technology
摘要
computers, machines that can be improved to assume some concepts that are usually considered to be similar to the capabilities of human intelligence, such as learning, reasoning, adapting, self-correcting, and so on(Dobrev, 2012;Kok et al., 2009;Simmons & Chappell, 1988). Consequently, recognizing the significance of AI's pervasive presence in contemporary society, it has become increasingly imperative to integrate AI education into curricula, with the aim of equipping individuals with the necessary competencies to effectively navigate and engage with an AI-driven world(Eaton et al., 2018;Pedro et al., 2019). Therefore, the inclusion of AI teaching and learning from the earliest stages of education is paramount(Heintz, 2021). The significance of incorporating AI in education has garnered considerable attention, particularly in its application across diverse academic disciplines, including language subjects (Pokrivcakova, 2019), mathematics (Gadanidis, 2017),
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ISSN: 1059-0145
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