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Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method
Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method
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Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method
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Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method
Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method

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Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method
Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method
Journal Article

Construction of a public health practice teaching quality evaluation system based on the CIPP model using the Analytic Hierarchy Process (AHP) and entropy weight method

2025
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Overview
Objective This study aims to establish a comprehensive evaluation system for assessing public health practice teaching quality, addressing the shortcomings of traditional evaluation methods. The framework integrates the Context, Input, Process, and Product (CIPP) model with the Analytic Hierarchy Process (AHP) and Entropy Weight Method to provide precise and balanced weightings for evaluation indicators. AHP was selected for its ability to incorporate expert judgment with consistency checks, ensuring structured decision-making, while the Entropy Weight Method enhances objectivity by assigning weights based on data variability, reducing potential biases in expert evaluations. Methods The development process included two rounds of Delphi expert consultations to refine the evaluation indicators and achieve consensus among experts. AHP and the Entropy Weight Method were applied to calculate and verify the weights of indicators. Statistical methods were used to ensure the reliability and validity of the framework. Results High consensus was achieved on key evaluation factors, emphasizing the critical roles of teaching facilities and information technology in public health education. The evaluation system combines expert insights with data-driven metrics, demonstrating strong reliability and adaptability. Findings underscore the system’s ability to identify strengths and weaknesses in teaching quality effectively. Conclusion This evaluation system provides a practical and scientifically grounded framework for improving resource allocation, policymaking, and quality enhancement in public health education. Its flexible structure enables dynamic adjustments to meet evolving educational standards and diverse teaching contexts. This tool offers valuable guidance for educators, policymakers, and stakeholders to enhance the effectiveness of public health teaching practices.