Instructor-Centered Education and Performance in Vocational Education for the Digital Economy Using the Fuzzy Logic Algorithm

Authors

  • Min Li School of Marxism, Zhengzhou Railway Vocational and Technical College, Zhengzhou 451460, China

Abstract

Vocational Education (VE) responses to the digital economy have recently improved based on instructor-centric education. The VE performance influencing thedigital economyis improved usingtheinstructor’s knowledgeand consistent assessments. To enhance theevaluation of VE performance, this article proposes an Instructor Skill-based Assessment Method (ISAM) using fuzzy logic (FL).This method analyzes the performance using instructor skills for improving the digital economy. First, the crisp inputs from the various instructor skills and experience factors are analyzed using different fuzzification levels. The levels are determined using the maximum output generated after each factor analysis. This encourages multiple-level outputs for preventing nullified assessments. These assessments are eliminated from the fuzzification process to reduce time complexity. The instructor
knowledge update and skill improvements are recommended based on the avoidance count. This recommendation is intended to leverage the digital economy regardless of the instructor’s experience. Therefore, the proposed method improves instructors’ performance and the digital economy.

Keywords: digital economy, fuzzy logic, performance assessment, vocational education

Cite As

M.Li, "Instructor-Centered Education and Performance inVocational Education for the Digital Economy
Using the Fuzzy Logic Algorithm", Engineering Intelligent Systems, vol. 34 no. 2, pp. 245-259, 2026.

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Published

2026-03-01

Issue

Vol. 34 No. 2 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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