基于BP神经网络的计算机绘图课程教学质量评价的研究及应用

Research and Application of the Teaching Quality Evaluation of Computer Graphics Course Based on BPNN

计算机绘图是一门专业基础课,具有很强的实践性,要求授课老师理论与实际操作相结合进行授课。如何提高教学质量是当今高校教育的重点,而客观、准确地评价教学质量对于提高教学质量有着积极而重要的意义。在制定评价指标体系的基础上,利用BP神经网络理论构建合理、有效的计算机绘图教学质量评价模型,并对学校的计算机绘图课程的教学质量进行了评价,找出存在的问题,为今后的教学改革提供方向。

The computer graphics course, which is very practical, is a requirement for teachers of the theory and practice of combining teaching of professional basic courses, How to improve teaching quality is the current focus of higher education, and how to objectively and exactly evaluate the teaching quality have positive and important meanings for improving the teaching quality, Taking advantage of BP neural network theories, This paper establishes a reasonable and effective model for evaluating the teaching quality of computer graphics course which is based on working the index system out. After that, in order to find the existed problems in our teaching process, which provide a direction of teaching innovation, the teaching quality of computer graphics course in our university was evaluated by using this model.