Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 8, 2023


Pages


DOI

Article

Applying parametric modelling to generate the ecosystem path of innovation and entrepreneurship education in applied undergraduate colleges and universities

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Authors

Lili Deng Affiliation:
School of Economic Management and Law, Shenyang Institute of Engineering, Shenyang, Liaoning, 110136, China.


Abstract

This paper firstly researches the generation path of innovation and entrepreneurship education ecosystem in applied undergraduate universities from the four aspects of education ecosystem, teacher team, conceptual change and system mechanism. Then, it constructs the ecological index system of innovation and entrepreneurship education and transforms the model into a parametric model by modeling the mean value parameter and dispersion parameter and approximating the smooth function of the model by using the Bayesian P-spline method. Finally, University H is taken as an example to evaluate and test the innovation and entrepreneurship education system based on the parametric model. The results show that education and teaching occupy a large proportion of the ecosystem, indicating that by actively initiating or participating in the innovation and entrepreneurship education ecology, applied undergraduate colleges and universities can rely on social capital endeavors to prompt a constant input of resources into the ecosystem, thus maintaining the benign and sustainable development of the innovation and entrepreneurship education ecosystem.


Keywords

Innovation and entrepreneurship, Ecosystem, Indicator system, Bayesian, Parametric modeling, 97D60


Citation

Deng, L. (2023). Applying parametric modelling to generate the ecosystem path of innovation and entrepreneurship education in applied undergraduate colleges and universities. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01029

Published by: Engineering Journals

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