<p>Fueled by the growth of contemporary science and communication technology, information and communication technology has significantly transformed educational methods in vocational colleges. This study suggests a new distance teaching model based on Web Mining designed to train engineering cost professionals. The model extends the technology adoption model by incorporating motivational elements, such as “fun”, to enhance user interaction and resource functionality. The implementation applies the SpringMVC+Spring+Mybatis framework to improve development efficiency, performance, and maintainability. The generic data access object pattern is also optimized to streamline SSM framework development for web applications. A decision tree classification technique was applied to assess the offered model’s accuracy, demonstrating that the Web Mining distance learning model reduces connection time by 15–20&#xa0;ms. These findings indicate that the model effectively enhances the training efficiency of engineering cost professionals in higher vocational colleges, providing a more interactive and user-friendly learning experience. By using SpringMVC+Spring+Mybatis framework, the model not only improves the development efficiency and the maintainability of the system, but also optimizes the performance of the network application, providing a practical solution for the teaching reform of higher vocational colleges.</p>

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Construction and analysis of talent cultivation mode based on the background of ‘ICT + intelligent teaching’

  • Manman Wu,
  • Tao Wan

摘要

Fueled by the growth of contemporary science and communication technology, information and communication technology has significantly transformed educational methods in vocational colleges. This study suggests a new distance teaching model based on Web Mining designed to train engineering cost professionals. The model extends the technology adoption model by incorporating motivational elements, such as “fun”, to enhance user interaction and resource functionality. The implementation applies the SpringMVC+Spring+Mybatis framework to improve development efficiency, performance, and maintainability. The generic data access object pattern is also optimized to streamline SSM framework development for web applications. A decision tree classification technique was applied to assess the offered model’s accuracy, demonstrating that the Web Mining distance learning model reduces connection time by 15–20 ms. These findings indicate that the model effectively enhances the training efficiency of engineering cost professionals in higher vocational colleges, providing a more interactive and user-friendly learning experience. By using SpringMVC+Spring+Mybatis framework, the model not only improves the development efficiency and the maintainability of the system, but also optimizes the performance of the network application, providing a practical solution for the teaching reform of higher vocational colleges.