A STUDY ON ENHANCING VOCATIONAL EDUCATION THROUGH THE USE OF AI-DRIVEN LEARNING PLATFORMS
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- NGN 3000
ABSTRACT: Enhancing vocational education through the use of AI-driven learning platforms is crucial for providing personalized and efficient educational experiences. This study aimed to evaluate the effectiveness of AI-driven platforms in vocational training, identify key competencies developed through these platforms, and assess student satisfaction with AI-enhanced learning. A survey design was employed to collect data from students enrolled in AI-based vocational training programs. The sample size included 250 students from technical institutions specializing in various vocational disciplines. Purposive sampling was used to select participants with a background in technology-enhanced learning. The case study was conducted at the University of Nigeria, Nsukka, Enugu State, Nigeria. Findings revealed that AI-driven learning platforms significantly improved students' learning outcomes, provided personalized educational experiences, and increased overall student engagement. Students expressed high levels of satisfaction with AI-enhanced learning, noting its adaptability and real-time feedback features. It was recommended that vocational training institutions expand the use of AI-driven platforms and continuously integrate new AI technologies to keep pace with educational advancements and industry needs.
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