摘要
课堂教学质量在很大程度上决定了学校的教育质量,其评价体系的构建成为教学督导工作的重要环节。本文将BP神经网络用于课堂教学质量评价中,以重庆工商大学的教学督导专家评教情况为例,构建了课堂教学质量评价模型。通过MATLAB仿真,结果表明该评价模型可以克服人为的主观因素,并且得到满意的评价结果。为学校构建科学合理的内部质量保障体系提供了一种新方法。
Classroom teaching quality determines the quality of education largely, and to build its evaluation system became an important part of teaching supervision. In this paper, BP neural network was used for classroom teaching quality evaluation. Taking the experts teaching supervision of our school for example, we constructed the teaching quality evaluation model. The evaluation model can overcome the subjective factors of evaluation and bring satisfactory evaluating results in MATLAB simulation. This result provided a new method for school to build a scientific and reasonable internal quality assurance system.
出处
《中国西部科技》
2014年第4期103-105,共3页
Science and Technology of West China
关键词
教学督导
课堂教学质量
BP神经网络
评价模型
Teaching Supervision
Classroom Teaching Quality
BP Neural Network
Evaluation Mode
