Preparing Future Generations Amid the Development of Artificial Intelligence: A Literature Review of Digital Literacy, Ethics, and Self-Directed Learning among Elementary School Students

The rapid development of artificial intelligence (AI) is transforming elementary education, creating opportunities for personalized learning while raising concerns about information reliability, ethical responsibility, and student autonomy. This study aimed to synthesize how digital literacy, ethical awareness, and self-directed learning can contribute to preparing elementary school students for AI-integrated education. An integrative literature review was conducted using relevant scholarly publications, primarily published between 2021 and 2026. The literature was examined through qualitative content analysis and thematic synthesis to identify key concepts, recurring findings, educational challenges, and relationships among the three dimensions. The findings indicate that digital literacy requires students to critically evaluate AI-generated information, verify claims, and recognize the limitations of automated systems. Ethical awareness encompasses responsible technology use, privacy protection, fairness, academic integrity, and informed decision-making. Meanwhile, self-directed learning involves setting learning goals, selecting appropriate resources, monitoring understanding, and reflecting on learning outcomes. Although AI can facilitate exploration, feedback, and personalized learning, its educational benefits are not guaranteed and depend on instructional design, teacher guidance, and students’ active engagement. This study proposes an integrated conceptual framework in which digital literacy, ethical awareness, and self-directed learning function as mutually reinforcing dimensions of AI readiness, supported by teachers, schools, and families. The review concludes that preparing elementary school students for an AI-mediated future requires an educational approach that combines critical judgment, ethical responsibility, and learner agency. Further empirical research is needed to validate the framework and examine its applicability across diverse educational contexts.