ArticleScientific reports2025
The effectiveness evaluation of industry education integration model for applied universities under back propagation neural network.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- An integrated framework for evaluating sustainable outcomes of vocational college graduates under ethnic heterogeneity and unequal college level resource allocation.Scientific reports · 2026Article
- A BP neural network model for intelligent quality monitoring of industry-education integration and talent cultivation.Scientific reports · 2026Article
- Constraints, mechanisms, and strategies for industry-education integration in vocational education: An empirical study.PloS one · 2025Article
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2 authors.
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Abstract
As the education field continues to advance, industry-education integration has become a crucial strategy for enhancing teaching quality in applied universities. This study investigates how artificial intelligence, specifically the back propagation neural network (BPNN), can be applied within an industry-education integration framework to strengthen students' skills and employability. A series of experiments were conducted to assess the model's effectiveness in linking theoretical learning with practical experience, as well as in improving students' hands-on and innovative abilities. Results demonstrate that the BPNN-optimized model substantially boosts students' overall competencies. For instance, the average academic score of students in the experimental group rose from 78.5 to 85.2, practical assessment scores increased from 76.8 to 88.4, and innovation scores improved from 74.2 to 82.5. Additionally, the employment rate for the experimental group reached 94%, surpassing the control group's 76%, with significant gains in job satisfaction and career planning skills. These findings highlight that the BPNN-based industry-education integration model effectively strengthens students' theoretical knowledge, practical skills, and employability, offering a valuable framework for enhanced university-industry collaboration.
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