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Engineering information talents are the main talents in the existing employment. Group engineering plays an important role in promoting social development and belongs to the development of basic construction. But how to effectively manage talents, make them. Knowledge and ability have been significantly improved, which has become the focus of research. I combine the knowledge embedding analysis method with talents, optimize it, and better tap the development potential of talents. The results show that the knowledge embedding analysis method has a significant impact on the utilization and matching of talents and the evaluation of practical application effects, which can keep it between 70% and 80%. It shows that knowledge embedding can better identify talents, manage them, and provide support for social development, and the matching rate of talents reaches more than 85%. Therefore, the embedded knowledge-based method has a significant measure effect on talent management.

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The Design of the Information Talent Training System of Applied Undergraduate Engineering Management Based on Knowledge Embedding

  • 会议论文

  • 发表日期：

    2026年

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  • Xiaowen Hu,
  • Feng Yang,
  • Yanfei Ge

摘要

Engineering information talents are the main talents in the existing employment. Group engineering plays an important role in promoting social development and belongs to the development of basic construction. But how to effectively manage talents, make them. Knowledge and ability have been significantly improved, which has become the focus of research. I combine the knowledge embedding analysis method with talents, optimize it, and better tap the development potential of talents. The results show that the knowledge embedding analysis method has a significant impact on the utilization and matching of talents and the evaluation of practical application effects, which can keep it between 70% and 80%. It shows that knowledge embedding can better identify talents, manage them, and provide support for social development, and the matching rate of talents reaches more than 85%. Therefore, the embedded knowledge-based method has a significant measure effect on talent management.