【摘要】 高等学校数学公共基础课程的教学评价通常以督导组专家和学生评价为主,存在主观性强、成本高、难推广等局限性。文章结合数学类课程的学科特点和教学特点,利用互联网、移动终端和智能监控技术获取课堂教学的相关视频、音频、图像等多源数据,结合人工智能技术和层次分析法,构建基于多源数据分析的教学质量评价指标,克服传统评价方法中的主观随意性,提高评价效率,实现无人教学评价。更多还原

【Abstract】 The teaching of mathematics public basic courses in universities is usually evaluated by undergraduates and the supervising commission of teaching experts, which has the limitations such as strong subjective,high-cost and difficult promotion.This paper combines the subject and teaching characteristics of the mathematics public basic courses to obtain the multi-source data of classroom teaching,such as video,audio,image and so on,by using the Internet, mobile terminal and intelligent monitoring technology.Based on the obtained multi-source data,the evaluation indexes of teaching quality are constructed by combing artificial intelligence and analytic hierarchy process.These indexes overcome the subjective randomness of the traditional evaluation methods,improve the efficiency of teaching evaluation and realize the unmanned teaching evaluation.更多还原