Darun Yang, Yupeng Zhu, Xingzhao Zhou
Hainan Vocational University of Science and Technology, Haikou, Hainan, China
Abstract: This study selects certain majors enrolled in the computer fundamentals course at Hainan Vocational University of Science and Technology as the research objects, with a focus on the demands for cultivating technically skilled talents in the context of the construction of the Hainan Free Trade Port. By leveraging big data technology, it conducts an in - depth analysis of the current teaching status of the course. The research uncovers several core issues: substantial disparities in students' foundational knowledge and learning needs, course content that lags behind industry requirements, a complex faculty composition, and monotonous teaching approaches.
Taking four majors—Artificial Intelligence Engineering Technology, Marine Engineering Technology, Computer Network Technology, and Tourism Management—as case studies, this research analyzes mid - term and final exam scores as well as teaching behavior logs. The findings reveal significant differences among students from different majors in terms of learning motivation and skill proficiency levels. Based on these findings, the study proposes a five - dimensional reform pathway, namely "tiered teaching - curriculum restructuring - faculty enhancement - method innovation - diversified assessment". The research conclusions provide a data - driven decision - making model for the reform of computer fundamentals courses in vocational undergraduate institutions. Moreover, they offer a demonstrative example for addressing the issue of the "disconnect between curriculum and job requirements".
Keywords: Network pharmacology; Stroke, Mechanism; Yujin
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