研究目的
To design and develop an evaluation system for digital education operational skill competitions based on blockchain technology to improve efficiency, transparency, and trustworthiness in competitions and evaluations.
研究成果
The blockchain-based evaluation system effectively simplifies competition processes, improves efficiency, and ensures transparency and non-tampering of data. The evaluation model shows strong correlation with expert scores, and the system is technically feasible and meets design requirements for robustness, reliability, and ease of use. Future work should explore smart contracts and machine learning for further optimization.
研究不足
The FAHP method relies heavily on subjective expert evaluations; the system's application is limited to the e-commerce sandbox context and may not generalize to other domains without adaptation.
1：Experimental Design and Method Selection:
The study involves designing a blockchain-based competition mode and evaluation model using fuzzy analytic hierarchy process (FAHP) for weight determination and balanced scorecard for multi-dimensional evaluation.
2：Sample Selection and Data Sources:
Experimental data is based on indicators from the 2017 National Intelligent Manufacturing Vocational Skill Competition, with 12 teams and 72 data points.
3：List of Experimental Equipment and Materials:
No specific equipment or materials are mentioned; the system is software-based using web and desktop clients, a Spring Boot server, and a blockchain system.
4：Experimental Procedures and Operational Workflow:
Teachers configure blockchain services, students upload data automatically during operations, and the system processes data through standardization and scoring algorithms.
5：Data Analysis Methods:
Correlation coefficient calculation is used to compare model scores with expert scores for accuracy validation; functional testing is conducted for system feasibility.
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