article · International Journal of New Education
As artificial intelligence (AI) continues to evolve rapidly, education is on the cusp of a transition via the goal of multiliteracies development, notably digital, visual/textual, and multimodal literacy abilities. This study examines the integration of AI in literacy education. It explores the role of AI in enhancing multiliteracies development, analyzing its features in educational contexts, its potential as a tool for literacy advancement, and broader pedagogical implications. Drawing on qualitative research utilising extensive review from sources including academic research, policy documents, and instructional materials, the study synthesizes key themes and emerging trends in AI-driven literacy education. By critically assessing these sources, the research identifies opportunities and challenges associated with AI integration, offering insights into its evolving role in shaping literacy practices for a rapidly changing technological landscape. Key findings indicate that AI-driven tools can provide personalized learning experiences and foster critical thinking, thereby contributing to the achievement of Sustainable Development Goals—particularly SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). However, challenges such as the digital divide, ethical concerns, and insufficient educator training remain significant barriers. To address these issues and harness AI’s full potential, the study recommends integrating AI literacy into school curricula, establishing minimum access standards through legislative action, and providing targeted professional development for educators. By doing so, AI can play a transformative role in literacy education, equipping students to thrive in an increasingly technology-driven world while ensuring that teaching practices evolve to meet new challenges.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.24310/ijne.15.2025.21332
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.