Bridging AI-mediated educational inequalities in Open and Distance eLearning: lessons from Zimbabwe Open University
Résumé
This study explored strategies for bridging AI-mediated educational inequalities in Open and Distance eLearning (ODeL) using Zimbabwe Open University as a case study. The study was grounded in the Capability Approach, which emphasises individuals’ ability to access and effectively utilise resources to achieve valued outcomes. A qualitative instrumental case study design was employed to gain an in-depth understanding of the interventions required to promote equitable participation in AI-enabled learning among geographically diverse student populations. Data were generated through semi-structured interviews with seven lecturers and one quality assurance coordinator, as well as focus group discussions with 14 students from diverse geographical and socioeconomic backgrounds. The data were analysed using Braun and Clarke's six-phase thematic analysis approach. The findings revealed four major strategies for bridging AI -mediated educational inequalities: digital infrastructure development, AI and digital literacy capacity building, inclusive institutional policies and support systems, and multi-stakeholder partnership and resource mobilisation. The study found that these strategies have the potential to enhance equitable access to AI-enabled learning resources, strengthen students’ digital capabilities, improve participation in AI-supported learning environments and reduce disparities between urban and rural learners. However, the effectiveness of these strategies may be constrained by limited financial resources, inadequate technological infrastructure, uneven digital literacy levels and policy implementation challenges. The study concludes that bridging AI-mediated educational inequalities requires a holistic approach that combines technological investment, capacity development, institutional commitment, and collaborative partnership. The study contributes to the emerging literature by showing that AI-mediated educational inequality extends beyond conventional digital access to include differences in AI literacy, institutional support, and students’ capabilities to convert AI resources into meaningful learning opportunities. The study recommends that ODeL institutions adopt inclusive AI integration frameworks that prioritise equitable access, digital empowerment, and targeted support for disadvantaged learners to ensure that the benefits of AI are accessible to all students regardless of geographical location.
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