Abstract
The development and improvement of teachers' teaching ability is the guarantee to continuously improve the overall teaching ability and school running level of universities. Therefore, it is of great significance to scientifically evaluate teachers' teaching ability. Aiming at the problems of traditional algorithms, such as weak generalization performance and difficult determination of parameters and model structure, a random forest algorithm is introduced into the field of teaching ability prediction. At an equal time, the ordinary grey correlation algorithm is accelerated through the usage of the projection principle, and instructor instructing capacity assessment mannequin based totally on grey projection expanded random woodland algorithm is proposed. The grey correlation degree judgment matrix is used to represent the correlation between historical samples and influencing factors, and the weight of influencing factors is established by the direct weight method to weight the judgment matrix. The random woodland algorithm is used to set up the prediction model, the grey projection is used to display screen the pattern set education model, and ultimately, the characteristic vector is entered to whole the prediction. The experimental results show that the new method has high prediction accuracy, robustness, and effectiveness. It not only enriches the evaluation methods of teachers' teaching ability but also provides a quantitative evaluation model reference for teachers' teaching ability evaluation.
Highlights
As an important part of teaching work, teaching ability evaluation is an important means to judge teaching level and improve teaching ability; it plays a vital role in strengthening modern teaching management. e evaluation of teachers’ teaching ability is a multi-index comprehensive evaluation problem [3]
In teaching evaluation, due to the influence of various human factors, its evaluation system presents a certain grey characteristic, which cannot be well handled by the traditional evaluation methods. e grey correlation analysis law is just suitable for the objective needs of this grey factor analysis, and it can better analyse the grey system with incomplete information
In order to effectively evaluate the teaching ability, we propose a teacher’s teaching ability evaluation model based on the improved random forest algorithm of grey projection [6]
Summary
With the deepening of the popularization of education, the structure of school teachers has changed greatly. E evaluation of teachers’ teaching ability is a comprehensive work and a purposeful and planned teaching activity It needs to systematically use various evaluation technical means to analyse various factors affecting teaching ability, continuously improve teachers’ teaching ability, and improve the level of education and teaching. Taking teachers’ curriculum ability as the research object, this paper explores the application of the correlation analysis method of grey system theory in the field of educational research and makes a simple improvement. Foreign countries mainly explained the structure of teaching ability by studying teachers’ personality characteristics Later, they mainly studied teachers’ effective behaviour in teaching activities from the perspective of teachers’ teaching effectiveness and teachers’ teaching result evaluation, and further constructed the teaching ability model [7]. A few researchers have applied the proposed teaching ability structure model to the field of practice
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