School of Education, South China Normal University, Guangzhou 510000, China.
J Environ Public Health. 2022 Aug 19;2022:7550792. doi: 10.1155/2022/7550792. eCollection 2022.
National policies have been very supportive of college students as a new force in IEE (innovation and entrepreneurship education). Universities across the nation have increased their emphasis on entrepreneurship education and put a lot of effort into developing and enhancing college students' EA (entrepreneurship ability). An important challenge facing universities is how to develop the psychological quality of IEE in college students and create a long-term training system. The author develops the EA evaluation model for college students based on practical experience with mental health education and applies BPNN (BP neural network) theory to the assessment of IEE in higher education. The scores corresponding to the students' evaluation indices are used as input vectors, and the innovative EA of the students is evaluated. According to the simulation's outcomes, the number of hidden neurons is calculated, and the outcomes are assessed through experiments. The outcomes demonstrate that, following the completion of the enhanced BPNN training, the actual value is valid, the expected value is reasonable, and the maximum relative error between them is 1.6 percent, which is essentially the ideal situation. It has been established that the IEE's established evaluation index system is fair and can accurately capture students' IEE spirit.
国家政策非常支持大学生作为创新与创业教育(IEE)的新力量。全国各地的大学都更加重视创业教育,并投入大量精力来培养和提高大学生的创业能力(EA)。大学面临的一个重要挑战是如何培养大学生的 IEE 心理素质,并建立长期的培训体系。作者根据心理健康教育的实践经验,开发了大学生 EA 评估模型,并将 BP 神经网络(BPNN)理论应用于高等教育的 IEE 评估。将学生评估指标的得分作为输入向量,评估学生的创新 EA。根据模拟结果,计算出隐藏神经元的数量,并通过实验进行评估。结果表明,在增强的 BPNN 训练完成后,实际值有效,期望值合理,两者之间的最大相对误差为 1.6%,这基本上是理想情况。已建立的 IEE 评价指标体系公平合理,能准确捕捉学生的 IEE 精神。