Applying statistical process control to teaching quality assurance at higher education institutions

Abstract Although student evaluation of teaching is an important part of teaching quality assurance at higher education institutions, no absolute standards exist for assessing each course’s teaching evaluation rating after teaching evaluation. In this paper, we develop a novel method of using average and standard deviation charts ( charts), which are based on the theory of statistical process control, to properly assess every course’s teaching evaluation rating. Through an application of teaching performance assessment at a management school, this research demonstrates a useful contribution to enhancing the practice of teaching and teaching performance assessment: Using charts’ three-sigma limits (which are established based on a school’s historical teaching evaluation data) as robust performance assessment standards, this method can provide a reliable assessment result on every course’s teaching evaluation rating; such assessment is useful for helping teachers and administrators reliably identify the low-performance courses in each semester for making timely improvements.