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Capacity Building of TVET Practitioners for the Development of High Quality, Accessible and Adaptable OER with the Aid of AI
Abstract
This paper discusses the development and evaluation of a micro-learning course aimed at empowering Technical and Vocational Education and Training (TVET) practitioners in Kenya to create high-quality, accessible, and adaptable Open Educational Resources (OER) using Artificial Intelligence (AI). The micro-learning approach effectively addresses the time constraints and varying levels of technological readiness among practitioners by offering bite-sized, flexible learning modules. Employing action research methodology, the course was developed iteratively with input from practitioners in Kenya, alongside supplementary insights from Nigeria, Ghana, and Jamaica. A survey involving 81 TVET practitioners (90.12% from Kenya) provided valuable information for the course design, highlighting challenges such as low AI literacy, limited access to infrastructure, and inadequate institutional support. The resulting micro-learning course consists of five core modules delivered through interactive webinars, hands-on workshops, and collaborative peer activities. While practitioners recognise the critical role of AI in the future of TVET, the study uncovers significant gaps in implementation that the micro-learning course seeks to address through targeted, practical interventions.
PCF11 Sub-Theme: Skills Development Through Lifelong Open Education
Paper ID: 3314
Country
Kenya
Region
Africa
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Adobe PDF, 309.7 KB
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Date
2025-09
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Corporate Author
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Publisher
Commonwealth of Learning (COL)