Relationship between Industry-University-Research Collaborative Education Model Combined with Kohonen Network and the Improvement of Students’ Multiple Intelligences
Abstract
The purpose of this study is to explore the effect of applying the Kohonen network to the Industry-University-Research (IUR) collaborative education model. An improved system based on the Kohonen network is designed and applied to the educational intervention of 200 students, and the students’ multiple intelligences in eight dimensions are evaluated. The results show that: (1) After implementing this model, students’ scores for multiple intelligences are significantly improved. The average score for logical mathematics intelligence increased from 65.3 to 74.5, an improvement of 14.1%. Interpersonal intelligence and spatial intelligence scores increased by 12.1% and 11.9% respectively. The scores for language intelligence, body movement intelligence, music intelligence, introspection intelligence and natural observation intelligence increase by 10.9%, 11.4%, 10.1%, 11.1% and 10.4% respectively. (2) The Kohonen network had an obvious impact on data analysis. By means of visualization, the Kohonen network
divides students into four groups through self-organizing clustering. The 41 students in Cluster 1 performed well in all types of intelligence, with a score of 83.2 for music intelligence and 80.3 for body movement intelligence. The overall score of 25 students in Cluster 2 is low, and their logical and mathematical intelligence is only 59.9. The intelligence scores of 91 students in Cluster 3 are relatively balanced, but lower than those in Cluster 1, and their language intelligence is 65.7. The 82 students in Cluster 4 are outstanding in spatial intelligence and limb movement intelligence, which are 69.8 and 71.9 respectively. These results show that the Kohonen network can effectively classify students’ multiple intelligences levels and provide data support for further educational intervention. In addition, this model has significantly improved students’ innovation skills and team cooperation
ability. More than 80% of students’ feedback suggested that this model helps them to better understand and apply what they have learned. The Kohonen network as a means of fostering multiple intelligences has demonstrated its great potential for application in the field of education, supports the strong integration of theory and practice, and provides a strong incentive for future education reform.
Keywords: Kohonen network; Industry-University-Research Collaborative Education Model; multiple intelligences; logical mathematical intelligence; average score
Cite As
Y. Wang, W. Zhang, G. Li, S. Ding, "Relationship between Industry-University-Research
Collaborative Education Model Combined with Kohonen Network and the Improvement
of Students’ Multiple Intelligences", Engineering Intelligent Systems, vol. 33 no. 6, pp. 655-666,
2025.
Yan Wang?, Weili Zhang, Guanhong Li and Shuming Ding
Medical College, Zhengzhou Institute of Industrial Application Technology, Zhengzhou 451150, China
