JISARA

Abstract: Artificial Intelligence (AI) is reshaping the landscape of educational environments, presenting new opportunities for personalized learning, increased efficiency, and improved equity. However, the swift integration of AI into classroom settings has exposed significant gaps in research and practice. This article synthesizes the literature to identify these persistent gaps and introduces a comprehensive five-pillar framework aimed at effectively addressing them. The framework emphasizes the importance of equity, ethics, teacher agency, and student empowerment in AI implementation within educational contexts. Central to this approach is a commitment to interdisciplinary collaboration that includes educators, policymakers, and community stakeholders, enabling the development and deployment of AI tools that are socially responsible and ethically sound. This article offers detailed recommendations for advancing the responsible integration of AI in education, ensuring that these technologies contribute positively to learning outcomes for all students, particularly those from marginalized backgrounds. By shifting the focus from mere identification of issues to actionable solutions, the proposed framework seeks to foster an environment of continuous improvement in educational practices and outcomes, thus maximizing the potential of AI to support diverse learners effectively.

Download this article: JISARA - V19 N1 Page 26.pdf

Recommended Citation: Pisano, M.A., (2026). A Framework for Addressing Research Gaps in AI-Driven Classrooms: Toward Equity, Ethics, and Sustainable Innovation. Journal of Information Systems Applied Research and Analytics 19(1) pp 26-32. https://doi.org/10.62273/YNQL6973