Title: Advancing mobile open learning through DigiBot technology: a case study of using WhatsApp as a scalable learning tool

Authors: Elnerine Greeff; Levon Rivers; Tamlyn Wilson

Addresses: University of Derby Business School, Derby, UK ' Digify Africa, Johannesburg, South Africa ' Digify Africa, Johannesburg, South Africa

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.

Keywords: mobile learning; DigiBot learning; WhatsApp learning; scalability; micro-learning; learning technology; micro-credentials; e-learning; innovative learning; mobile open learning; MOL; open learning; distance learning.

DOI: 10.1504/IJTCS.2024.139187

International Journal of Teaching and Case Studies, 2024 Vol.14 No.4, pp.393 - 412

Received: 14 Feb 2024
Accepted: 15 Mar 2024
Published online: 24 Jun 2024 *

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