Advancing mobile open learning through DigiBot technology: a case study of using WhatsApp as a scalable learning tool Online publication date: Mon, 24-Jun-2024
by Elnerine Greeff; Levon Rivers; Tamlyn Wilson
International Journal of Teaching and Case Studies (IJTCS), Vol. 14, No. 4, 2024
Abstract: This article presents a case study that outlines the potential of DigiBot technology, an interactive automated response program, in mobile open learning (MOL) for business subjects. The study, which draws on a project implemented in Sub-Saharan Africa, demonstrates the applications of DigiBots delivered via WhatsApp to over 650,000 learners. Employing a mixed-methods approach, the article reports on live event tracking, qualitative observations from facilitators and learning technologists, and a learner survey (N = 304,000). The research offers practical recommendations and proposes a model for scalable DigiBot learning. Findings reveal that in this case, DigiBot MOL had the potential to effectively address two key obstacles in open learning: accessibility and scalability. Leveraging mobile platforms such as WhatsApp mitigates accessibility restrictions, particularly in resource-constrained contexts, while tailored micro-learning enhances scalability.
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