Research on the Quality Evaluation System of Practical Teaching in Vocational Undergraduate Education based on Multiple Subjects

Authors

  • Yuan Fang
  • Hui Tian
  • Ergang Wu

DOI:

https://doi.org/10.54097/hq80ar59

Keywords:

Vocational Undergraduate Education, Practical Teaching, Teaching Quality Evaluation, Multiple Subjects, CIPP Model, AHP

Abstract

Practical teaching is the core link in talent training of vocational undergraduate education, and its quality directly affects the formation of students' professional competence and post competency. At present, vocational undergraduate colleges generally lack a systematic practical teaching quality evaluation system that fits their educational characteristics, making it difficult to meet the needs of teaching diagnosis and improvement as well as quality enhancement. Based on the CIPP model, situated learning theory and competency-based education concept, this paper constructs a quality evaluation system covering the entire process of practical teaching with the joint participation of multiple subjects. Using literature research, Delphi method expert consultation and AHP (Analytic Hierarchy Process), the study forms an evaluation framework including five first-level indicators, fifteen second-level indicators and several third-level observation points, and determines the weight of each indicator. The research results show that the practical teaching process (weight 0.372) and students' practical competence development (weight 0.284) are the key dimensions affecting practical teaching quality, while practical conditions, teaching management and teaching improvement constitute important supports. The multi-subject evaluation mechanism can effectively enhance the comprehensiveness and professionalism of evaluation results, making the evaluation content more in line with post requirements. With clear structure, rigorous logic and strong operability, this system can provide a scientific basis for vocational undergraduate colleges to carry out practical teaching quality monitoring, teaching diagnosis and improvement, and resource allocation optimization. Future research can further realize the dynamic optimization of the evaluation system by combining digital teaching platforms and industry differences.

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References

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Published

14-11-2025

Issue

Section

Articles