인공지능 기반 교육 시스템의 사회적 영향 평가 프레임워크 연구

Abstract

The integration of artificial intelligence (AI) into education has significantly changed the dynamics of the classroom by enabling personalized and tailored learning through AI-powered learning analytics that address individual student needs. While the pedagogical benefits of personalized learning have long been recognized, implementation has been challenging in traditional classroom settings where teachers manage multiple students simultaneously. AI offers a potential solution to this challenge and could promote educational equity. However, the adoption of AI in education raises significant concerns regarding fairness, inclusivity, transparency, algorithmic bias, technology dependence, trustworthiness, and reduced social interaction-factors that could potentially lead to ineffective learning outcomes and educational inequality. Therefore, social impact assessment (SIA) becomes crucial to analyze and predict the outcomes of AI implementation in education, with the goal of minimizing negative impacts while maximizing positive societal contributions. This paper proposes a comprehensive framework for conducting SIA of AI in education, presenting core assessment items and procedures. The framework provides systematic guidelines for future SIA implementations in educational contexts, contributing to the responsible integration of AI in education.