The Impact of AI on Vocational Education Assessment Systems
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Abstract
Assessment systems are fundamental to measuring the progress and competence of learners in vocational education. This paper explores the impact of Artificial Intelligence (AI) on assessment practices in vocational education, focusing on the use of AI for automating evaluations, providing real-time feedback, and personalizing assessments based on individual learning progress. By examining AI-powered assessment tools, such as automated grading systems, skill tracking platforms, and performance analytics, the paper highlights how AI can improve the accuracy, efficiency, and fairness of vocational education assessments. The study also addresses the challenges and ethical considerations related to AI in assessment, including privacy concerns and algorithmic bias.
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