Confirmation Bias in the Age of AI and Educational Approaches for Moral Metacognition

• 발행기관: 아시아태평양교육문화융복합학회
• 저자명: Hyejin Lee
• 간행물 정보: 『Asia Pacific Journal of Teaching and Learning』제5권 제3호, 1~14쪽, 전체 14쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2025.09.30

국문 초록

Purpose : This study explores ways to foster moral metacognition in the AI era, focusing on deeper learning in the 2022 revised curriculum. As AI intensifies confirmation bias and selective perception, learners need the ability to reflect, regulate, and monitor their thinking in moral problem-solving. Method : A literature review and theoretical analysis are conducted, centering on Narvaez’s framework of moral metacognition. Flavell’s model and Brown’s principle are used as supporting perspectives, linked with the 2022 curriculum to derive implications. Results : Through tasks that involve self-monitoring, regulation, and reflection, learners develop both cognitive and emotional competencies. Moral self-reflection, in particular, enables them to recognize biases and cultivate initiative for moral agency. Moreover, deeper learning—life-related, integrative, and reflective—provides a strong foundation for fostering moral metacognition. Conclusion : Moral metacognition, when systematically integrated into elementary through high school moral education, extends beyond knowledge acquisition to nurture problem-solving, creativity, lifelong learning, and sustainability-based competencies. The study concludes that deeper learning should serve as a fundamental educational context for the practical manifestation of moral metacognition in future curriculum design and moral education courses.

목차

I. Introduction

II. The Necessity of Moral Metacognition in Relation to Confirmation Bias in the Age of AI

III. Educational Approaches to Cultivating Moral Metacognition in Moral Education

IV. Conclusion

References

키워드

AI Confirmation Bias Moral Metacognition Narvaez Moral Education Deeper Learning