Abstract
This study examines the impact of artificial intelligence (AI) learning devices and community-based mentoring on underprivileged elementary students to alleviate post COVID 19 pandemic educational disparities. 104 school-aged students engaged in self directed learning with AI devices and received mentoring for 8 months. Data included device usage, attendance, pre-and post-assessment scores in Korean language and math, and self-reported learning efficacy. Results showed significant improvements in Korean language and math scores for students in the mentoring program. A ‘high-utilization group’ displayed notable gains in math scores and learning efficacy. This study underscores the potential of EdTech and community-based mentoring in bridging educational gaps for underprivileged students, suggesting a viable alternative to traditional schooling.
Published Version
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