Literature Study of the Deep Learning Approach in Vocational Schools: Implementation, Impact, and SWOT Analysis
DOI:
https://doi.org/10.55927/fjsr.v4i11.726Keywords:
Deep Learning, Vocational Education, Artificial Intelligence Technology, SWOT Analysis, Digital TransformationAbstract
The development of digital technology and the needs of modern industry have encouraged vocational education institutions to adopt more innovative learning approaches that are oriented towards the development of in-depth competencies. This study aims to analyze in-depth learning approaches in vocational education through a literature review covering implementation, impact, and analysis of strengths, weaknesses, opportunities, and threats. This approach has been proven to improve conceptual understanding, reflective skills, the connection between material and the real world, and the use of artificial intelligence technology that supports adaptive learning, learning path recommendations, student achievement predictions, and learning analytics. The results of the study show that deep learning has a positive impact on improving student competence and readiness to face the demands of modern industry, although there are still challenges in the form of infrastructure limitations, educator readiness, technology access gaps, and data ethics and privacy issues. The success of implementing this approach is highly dependent on strategic planning, improving the capacity of educators, and collaboration between educational institutions, the government, and industry so that it can support the transformation of learning towards a more adaptive and sustainable direction
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