This paper develops teaching assessment model to resolve the complexity of quality evaluation process of teaching quality, with the structural characteristics and self-learning function of BP neural networks. The concept of teaching evaluation index is quantified to the determinate date as input, teaching effectiveness as output. Through MATLAB software used for the empirical research, it can be found that the method applied to evaluation of teaching quality, not only overcome the subjective factors in the evaluation process, but also receive satisfactory results, has a wide applicability.
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Study of Teaching Assessment Based on BP Neural Network
Semantic Scholar · Computer Science · 2012
Abstract
This paper develops teaching assessment model to resolve the complexity of quality evaluation process of teaching quality, with the structural characteristics and self-learning function of BP neural networks. The concept of teaching evaluation index is quantified to the determinate date as input, teaching effectiveness as output. Through MATLAB software used for the empirical research, it can be found that the method applied to evaluation of teaching quality, not only overcome the subjective factors in the evaluation process, but also receive satisfactory results, has a wide applicability.