为了解决高校教学质量评价方法的主观性和有效性问题,提出了基于云模型的教学质量评价方法并探讨了避免主观性影响的教学评价有效策略。首先描述了高校教师教学质量评价的主要内容,从六个方面给出了教学质量评价体系的主要构成。然后分析了教学质量评价体系的主观性问题,并探讨了评价结果的有效性。最后利用云模型在处理统计问题中的模糊性和随机性方面的优势,提出了基于云模型隶属度组合策略的教学质量评价方法,以提高教学质量评价的可靠性并降低主观性的干扰。以某一工程力学课程的评价数据为例,分别采用了传统的主观观察排除法和统计标准差偏移排除法,以及所建议的云模型隶属度排除法和云模型隶属度组合法进行了教学质量评价计算和分析。结果表明,所建议的云模型隶属度组合法可以较为准确地进行教学质量评价,不仅降低了个人主观性判断的干扰,而且改善了教学质量评价结果的有效性。

In order to solve the subjectivity and effectiveness problem of university teaching quality evaluation method, a teaching quality evaluation method based on cloud model is presented and the effective strategy of teaching evaluation to avoid the influence of subjectivity is discussed. First, the main content of university teaching quality evaluation is described, which consists of six parts. Then, the subjectivity problem of teaching quality evaluation system is analyzed, and the effectiveness problem of evaluation result is discussed. Finally, using the advantage of cloud model in dealing with fuzziness and randomness of statistics problem, a teaching quality evaluation method based on cloud model membership is proposed, which can improve the reliability and reduce the subjective disturbance. Taking the evaluation data of an engineering mechanics course as a case, the traditional subjective observation exclusion method and statistical standard deviation exclusion method, and the proposed cloud model membership exclusion method and cloud model membership combination method are utilized to evaluate the teaching quality, respectively. The results show that the cloud model membership combination method can precisely evaluate the teaching quality. The method not only reduces the disturbance of subjective factors, but also improves the effectiveness of teaching quality evaluation results.

G642.0

重庆大学线上线下混合课程建设项目(02180011110009)