Abstract
Education is the foundation of talent training, in order to strengthen the cultivation of innovation and entrepreneurship talents in engineering management, the concept should focus on the cultivation of student’s professional skills and innovation and entrepreneurship ability, starting from reforming the theory of engineering management and building an innovation and entrepreneurship guidance service system for college students. The traditional education model cannot solve the problem of comprehensive quality evaluation of talents in the innovation and entrepreneurship guidance service system of college students, and the evaluation is unreasonable. Therefore, this paper proposes a big data algorithm to evaluate and analyze the comprehensive quality of innovative and entrepreneurial talents. First of all, the engineering management theory is used to evaluate the engineering management talents, and the indicators are divided according to the requirements of the comprehensive quality evaluation of talents, so as to reduce the comprehensive quality evaluation of talents Disturbing factors. Then, the engineering management theory evaluates the comprehensive quality of college students’ innovative and entrepreneurial talents, forms a comprehensive talent quality evaluation plan, and comprehensively analyzes the comprehensive quality evaluation results of talents. MATLAB simulation shows that under certain evaluation criteria, the accuracy of talent comprehensive quality evaluation and talent comprehensive quality evaluation time of college students’ innovation and entrepreneurship are better than those of traditional education models.
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Deng, C. (2023). Exploration of the Training Mode of Application-Oriented Engineering Management Talents Based on the Goal of Innovation and Entrepreneurship. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_23
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DOI: https://doi.org/10.1007/978-3-031-43247-7_23
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