Digital And AI-Mediated Education, Equity, And Mental Health: Global Evidence And Lessons For Pakistan

Abstract

Digital and AI-mediated education is fundamentally reshaping instructional practices across primary, secondary, and tertiary levels. Globally, such technologies hold considerable promise for personalised instruction, enhanced learner engagement, and extended access to under-served populations. However, they also carry serious risks pertaining to digital inequity, algorithmic bias, data surveillance, and psychological strain. This article presents a narrative synthesis of recent international scholarship at the intersection of digital and AI-mediated education, equity, and mental health, with dedicated attention to implications for Pakistan. Drawing on systematic reviews, umbrella reviews, empirical studies, and conceptual analyses, it examines patterns of AI adoption across educational levels, equity concerns arising from digital divides and algorithmic decision-making, and emerging evidence on mental health outcomes for both students and educators. The review further incorporates recent studies on AI-enabled emotional assessment, teacher well-being, and self-regulated learning. The article concludes with policy-oriented recommendations for equity-centred, socio-technically informed deployment of AI in education within the Pakistani context, where structural inequalities of region, gender, language, and socio-economic status continue to shape educational opportunity.