Application of an Artificial Neural Network to Evaluate the Integration Effect of Quality Education and Skill Education

Cai Bai, Wei Huang

Abstract


Quality education is the basis, driver, and inspirer of skill education. These two education models can complement and interact with each other. However, few scholars have discussed the current state and future trend of the integration between the two models, not to mention quantifying the integration effect. This paper applied the artificial neural network (ANN) to evaluate the integration effect of quality education and skill education, owing to the advantages of the ANN in processing nonlinear information adaptively. First, the subjects and motivation mechanismss of the integration between the two models were analyzed. Then, an evaluation index system was established for the integration effect. After that, an ANN model was created for the compatibility of evaluation indexes and used to predict the integration effect. Experimental results verified the reasonability of the proposed evaluation index system, and the effectiveness of the proposed model. Finally, the current state of the integration was analyzed based on the prediction results.

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Copyright (c) 2021 Cai Bai, Wei Huang


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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