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Integrating Socio-scientific Issues Into AI Ethics Education: Curriculum Framework and Case Study
ZHANG Jinbao
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DOI:10.17265/2161-623X/2025.01.001
Beijing Normal University, Beijing, China
The rapid advancement of artificial intelligence (AI) technologies presents a range of ethical challenges, highlighting the urgent need to integrate AI ethics education into curricula for young learners. This paper examines the implementation of AI ethics education across primary, secondary, and tertiary education levels, utilizing the framework of socio-scientific issues (SSI) pedagogy. We begin by exploring the pressing need for AI ethics education and then propose a set of curriculum design principles. A comprehensive curriculum framework is developed, which includes learning objectives, content, and pedagogical strategies tailored to each educational stage. Additionally, we present a case study focused on “generative AI technology” to demonstrate the practical application of the proposed framework. The paper concludes with recommendations for effective curriculum implementation, offering strategies to deepen the SSI approach, enhance teaching methods, integrate educational technologies, and address potential challenges.
artificial intelligence ethics, socio-scientific issues, curriculum development, pedagogical practices, ethical values, interdisciplinary studies
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