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.
Highlights
College Teachers' teaching ability reflects the comprehensive level of the college, which is the core competitiveness of college teachers [1]
Traditional rating methods are based on human subjectivity, i.e. the overall evaluation of teaching ability level is concluded through the subjective evaluation for lots of aspects of teachers in this colleges and the comparison with that of teachers in other colleges
Using percentile system for College Teachers' teaching ability, it can be divided into five levels: EXCELLENT (I), GOOD (II), COMMONLY(III), PASS (IV) and FAIL (V)
Summary
College Teachers' teaching ability reflects the comprehensive level of the college, which is the core competitiveness of college teachers [1]. The improvement of teaching ability is the key of college teachers’ growth and developed, and can effectively drive. Traditional rating methods are based on human subjectivity, i.e. the overall evaluation of teaching ability level is concluded through the subjective evaluation for lots of aspects of teachers in this colleges and the comparison with that of teachers in other colleges. This method needs plenty of preparatory work with poor real-time, and is influenced by the personal factors, lack of objectivity. The different teams even have different evaluation results for the same college teachers when they use different scales [4-6]
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