Artificial Intelligence (AI) Literacy in Education: Definition, Competencies, Opportunities and Challenges

Artificial Intelligence (AI) is rapidly being integrated into educational systems globally, making AI literacy a critical educational priority. This paper comprehensively reviews AI literacy, focusing on its definition, essential competencies, integration opportunities, and associated challenges within educational contexts. AI literacy refers to the knowledge, skills, and attitudes necessary to understand AI principles, effectively utilize and create AI tools, and critically evaluate AI technologies' ethical and societal impacts. The review synthesizes existing literature, international policy initiatives, and educational frameworks to conceptualize AI literacy and identify core competencies needed across different educational stages, categorized into knowledge-based, skill-based, and ethical-attitudinal dimensions. Opportunities explored include fostering interdisciplinary learning, preparing students for AI-driven workplaces, leveraging AI educational tools, and driving curriculum and policy innovation. However, significant implementation challenges, such as insufficient teacher training, infrastructure disparities, curriculum integration uncertainties, and ethical concerns related to bias, privacy, equity, and societal impacts, are highlighted. Addressing these challenges requires coordinated efforts among educators, policymakers, researchers, and stakeholders. Future research, policy development, and educational practice should focus on developing comprehensive competency frameworks, equitable access strategies, targeted professional development for educators, and responsible approaches to embedding AI literacy into education.