基于SPC与Bootstrap方法的高校教学质量评价的分析-计算机系统结构专业论文.docxVIP

摘 要 教学质量是高校生存的基础和竞争的资本，是高校生命力的体现。对教师的 教学质量水平进行科学、客观、公正地评价，已经成为高校十分重视的重要工作。 统计过程技术是保证预防原则、实现过程控制的现代质量控制技术，它的应用领 域已从生产制造业扩展到服务行业，高等教育提供的是一种教育服务，服务的直 接对象是学生，只有提高教师教学质量才能满足学生的需要。将统计过程控制技 术用于教学质量评价中，对教师的教学过程进行监控，是一个有意义和比较前沿 的课题。 本文主要运用文献研究法查阅了国内外有关教学质量评价的相关资料，得出 利用学生评教对教学质量进行评价是科学的、可行的、有效的。通过实例研究法 将传统的统计过程控制（SPC）技术在教学质量评价中进行了深入的研究，并比较 了以休哈特控制图为代表的传统统计过程控制技术在处理小样本情况中的不足， 结合高校教学的特点，提出了不需要其它的假设和增加新假设、以少量样本模拟 大样本进行统计量估计的 Bootstrap 方法，并对 Bootstrap 方法进行分析研究，最后 通过将 SPC 和 Bootstrap 方法结合应用于高校教学质量评价中，将原有的评价体系 从结果分析转向过程控制，及时发现高校教学过程的缺陷和不足，有助于采取合 理的措施提高教学质量、提高顾客（学生）的满意程度。 关键词 ：教学质量评价 学生评教 统计过程控制（SPC） Bootstrap 方法 Abstract Teaching quality is fundamental for the survival and capital of competition, reflects the vitality of colleges and universities. The scientific and objective and fair evaluation on the teaching quality has become an important work.Statistical process technology is the guarantee of the precautionary principle and modern quality control of implementation process control .Its applications have been extended from manufacturing to service. Higher education is an educational service, by improving teaching quality for meeting the needs of the students. Statistical process control techniques for the evaluation of teaching quality, is a meaningful and advanced topics. In this paper , teaching quality evaluation of the relevant information of domstic and abroad is reviewed on, students’ evaluation of teaching is scientific, feasible and effective. Through the case study method , traditional statistical process control ( SPC ) technology in the evaluation of teaching quality is studied, and a comparison of the control chart to Shewhart as the representative of the traditional statistical process control technology in the processing of the small sample situation of insufficient, combining the teaching characteristic, put forward the Bootstrap method ,it does not need other the assumption and add a new hypothesis, a small amount of sample simulation large sample to statistic e