Bridging the Digital Learning Divide: Artificial Intelligence, Access, and the Social Determinants of Higher Education Outcomes in Africa

Abstract

Abstract The rapid diffusion of artificial intelligence into African higher education has renewed the expectation that technology will close long-standing gaps in educational opportunity. This study argues that the expectation will be disappointed unless the digital learning divide is understood as a socially structured condition, and not merely as a question of who owns a device or holds a connection. The study adopts a conceptual-analytical design based on theoretical adaptation and synthesis rather than primary data. Sources were selected purposively from the sociology of the digital divide, the social determinants of health framework, and fundamental cause theory. Constructs were retained only where the valued outcome is influenced by flexible resources and the mechanisms producing it change over time, and were then applied to artificial intelligence in African higher education using recent continental connectivity evidence. The analysis yields a three-tier social determinants model of higher education outcomes, in which structural determinants, intermediary determinants, and differential digital access, use and outcome operate together, bound by flexible resources that generate cumulative advantage. Within this model, artificial intelligence amplifies opportunity where infrastructure, preparation, support and governance are present, and amplifies disadvantage where they are absent. Interventions confined to access are therefore absorbed without disturbing the achievement gradient, and average effects can conceal a widening distributional gap. Governments and institutions should fund the enabling conditions as components of any artificial intelligence programme; target the achievement gradient through proportionate universalism; subject classifying systems to equity audit, explanation, contestation and data protection; and ground platforms in local context, language and participation. Bridging the digital learning divide is a task of social redistribution, not only of technological supply. Keywords: digital access; digital skills; artificial intelligence adoption; socioeconomic status; higher education outcomes; educational equity