<![CDATA[Digital transformation has brought significant changes to competency assessment systems in vocational education. Technological advancements such as e-assessment, learning analytics, Artificial Intelligence (AI), Generative AI, computer-based assessment, and virtual simulation are driving the creation of more effective, adaptive, and data-driven assessment systems. This project will examine the evolution of research on digital transformation in competence assessment in vocational education between 2021-2026. The approach employed is a Literature Review using the PRISMA phases, which comprise identification, screening, eligibility evaluation, and the inclusion of publications. The ScienceDirect database was used for the literature search, which included terms such as digital assessment, competency assessment, and vocational education. The screening method produced 23 papers that matched the inclusion criteria for analysis. The findings show that research trends have evolved from a focus on digital abilities and user perceptions to the use of AI, Generative AI, learning analytics, and intelligent algorithms in competence evaluation. The implementation of digital assessment has proven to enhance efficiency, objectivity, and the accuracy of evaluations, as well as the ability to provide real-time feedback. However, challenges such as educators’ digital competencies, technological infrastructure, and data security remain major concerns. Therefore, strengthening digital competencies, developing infrastructure, and integrating intelligent technologies are crucial strategies for optimizing the implementation of digital assessment in vocational education.]]>
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