A robust approach for assessing teaching performance during regular reviews

Abstract

Although teachers at many colleges and universities receive regular performance reviews (e.g. annual reviews), there are no absolute standards regarding what teaching performance in terms of teaching evaluation ratings during the review period is satisfactory. To address this issue, in this paper we propose a new two-step approach to construct average and standard deviation charts (X¯¯¯−S charts), which are based on the theory of statistical process control, for annual teaching performance reviews at a management school: first, we use the school’s all historical data of teaching evaluation ratings to build X¯¯¯−S charts; then, we plot each teacher’s teaching evaluation ratings during the annual review period into the established X¯¯¯−S charts for performance assessment. School administrators and teachers can use this generic and robust approach to identify high, normal, and low teaching performance during regular reviews for helping teachers make timely improvements or maintain good teaching performance.

Keywords: College and university, higher education, regular performance review, statistical process control, teaching evaluation