Intelligent Design Based Neural Network Model for Measuring Analysis of the College Teachers’ Teaching Ability

Authors

  • Yihui Chen Department of Information Technology, Changchun Vocational Institute of Technology, Changchun 130033, China
  • Mingli Yang College of Earth Sciences, Jilin University, Changchun 130061, China Department of Information Engineering, Jilin Business and Technology College, Changchun 130507, China

DOI:

https://doi.org/10.3991/ijet.v15i15.15931

Abstract


The teaching ability of College Teachers is regarded as one of the core competencies and a critical indicator for measuring comprehensive strength for a college. However, its evaluation process is a highly complex system decision-making, for there are various factors that influence on the assessment of for the College Teachers’ the teaching ability. The traditional methods have drawbacks of strong subjectivity, so they are difficult to correctly evaluate the teaching ability of College Teachers, resulting in decrease of measurement accuracy. Based on the analysis of the relevant factors, this paper presents an intelligent design based neural network model of discrete Hopfield for the measurement and analysis of College Teachers' teaching ability. Firstly, a Hopfield neural network model for the measure analysis of the teaching ability is established, and eleven measure analysis indexes are selected as input information of the Hopfield neural network model. Secondly, the College Teachers' teaching ability grades are chosen as the model output, then the input and output model based on the relationship among the self-learning abilities of neural network is established. Finally, the simulation experiment is obtained by using MATLAB. The simulation results show that the model has the characteristics of high efficiency, objectivity and fairness, which can meet the requirements of the measurement and analysis of College Teachers' teaching ability.

Author Biographies

Yihui Chen, Department of Information Technology, Changchun Vocational Institute of Technology, Changchun 130033, China

Chen Yihui is a researcher and associate professor in the school of computer science of Changchun vocational and technical college, Changchun, Jilin, China. He mainly works in computer application technology, mainly in software engineering, blockchain technology, big data analysis, etc.

Mingli Yang, College of Earth Sciences, Jilin University, Changchun 130061, China Department of Information Engineering, Jilin Business and Technology College, Changchun 130507, China

Yang Mingli is a researcher and associate professor of the Institute of technology of Jilin University of business, Changchun, Jilin, China. Her main fields of work are computer science and technology, artificial intelligence, big data analysis and processing, graphics and image processing, etc.

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Published

2020-08-14

How to Cite

Chen, Y., & Yang, M. (2020). Intelligent Design Based Neural Network Model for Measuring Analysis of the College Teachers’ Teaching Ability. International Journal of Emerging Technologies in Learning (iJET), 15(15), pp. 176–187. https://doi.org/10.3991/ijet.v15i15.15931

Issue

Vol. 15 No. 15 (2020)

Section

Papers

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