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In the context of modern industrial system development and economic transformation, higher education faces three major challenges in cultivating applied talents: limited internationalization, insufficient integration between industry and education, and weak connections between innovation and teaching. Many institutions struggle with decision-making due to a lack of effective feedback mechanisms for tracking educational development. This paper introduces the \(I^3\) (Internationalization, Integration, Innovation) Higher Education Development Assessment Model, which is based on constructivist learning theory, Bloom’s taxonomy, and behaviorist learning principles. The model uses data-driven methods and visualization tools to monitor talent development indicators and provide evidence-based support for educational decision-making. Research results show that the model effectively improves the quality of applied talent training and supports sustainable institutional growth.

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Data-Driven \(I^3\) Framework: Modeling and Visualization for Applied Higher Education

  • 会议论文

  • 发表日期：

    2026年

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  • Yundi Guo,
  • Xianghua Fu,
  • Yongsheng Liang

摘要

In the context of modern industrial system development and economic transformation, higher education faces three major challenges in cultivating applied talents: limited internationalization, insufficient integration between industry and education, and weak connections between innovation and teaching. Many institutions struggle with decision-making due to a lack of effective feedback mechanisms for tracking educational development. This paper introduces the \(I^3\) (Internationalization, Integration, Innovation) Higher Education Development Assessment Model, which is based on constructivist learning theory, Bloom’s taxonomy, and behaviorist learning principles. The model uses data-driven methods and visualization tools to monitor talent development indicators and provide evidence-based support for educational decision-making. Research results show that the model effectively improves the quality of applied talent training and supports sustainable institutional growth.