Internet of Things for Teacher Education in Liberia: A Privacy-Preserving Theoretical Framework for Resource-Constrained Sub-Saharan African Contexts
Chris Gilbert, Duah Jeremiah Leakpor, Kwitee D. Gaylah, John K. Constance, Mercy A. Gilbert
Asian Journal of Education and Social Studies · pp. 514–527 · Published 9 May 2026
10.9734/ajess/2026/v52i53036Abstract
Teacher education systems are increasingly required to prepare graduates for digitally mediated classrooms, where learning, assessment, and administration rely on interconnected technologies. The integration of Internet of Things (IoT) offers potential for data-driven and adaptive learning environments, but its effectiveness depends on contextual feasibility, institutional capacity, and pedagogical alignment. This theoretical paper develops a Liberia-centred framework for integrating IoT capabilities into teacher education while preserving the central role of pedagogy, mentoring, equity, and institutional governance. Using a critical conceptual review and design-science theorisation, the study draws on verified peer- reviewed literature and official policy sources reviewed in 2026. It situates Liberia’s teacher education challenges within broader Sub-Saharan African connectivity constraints and draws selected comparative lessons from Ghana’s digital education policy experience. The analysis synthesises scholarship on IoT architectures, teacher knowledge, professional development, technology adoption, digital education policy, cybersecurity, privacy, and data governance. In response, the paper proposes the Liberia IoT Teacher Education Framework (LITE-TEF), a six-layer model connecting context diagnosis, institutional readiness, IoT affordances, pedagogical integration, data-feedback cycles, and trust governance. It also introduces an IoT Teacher Education Readiness Index (IoT-TERI), design propositions, a phased implementation roadmap, a risk register, and monitoring indicators. The paper argues that IoT can strengthen teacher preparation in Liberia when deployed as low-cost, offline-tolerant, privacy-preserving feedback infrastructure rather than as a replacement for human teaching expertise. Its main contribution is a reproducible theoretical framework that aligns educational value with equity, cybersecurity, data protection, institutional capacity, and long-term maintainability.
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