This paper presents a framework for utilizing Student Evaluations of Teaching (SET) in faculty evaluations. Recognizing the ongoing debate about the validity of SET as a measure of teaching effectiveness, the authors agree with scholars who propose viewing SET as a tool for gauging 'student perceptions of learning'. They present a method that…

This paper reports on research into the operation of English further/higher education, with a focus on the role of partnerships in supporting the massification of higher education. The research draws on the bottom-up policy implementation tradition to provide analysis of the effects on partnerships of a quasi-marketised environment. The rationale…

The calls for accountability in higher education have made outcome-based assessment a key accreditation component. Accreditation remains a well-regarded seal of approval on college quality, and requires the programme to set clear, appropriate, and measurable goals and courses to attain them. Furthermore, programmes must demonstrate that…

We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…

This dissertation reports the results of three studies and a pilot study. The first study was a Monte Carlo validation study that examined the accuracy of a new visual inspection method, the semi-interquartile range method. Results of the study indicated that this method had lower levels of power than a previously validated method, the…

Student evaluation of teaching is commonplace in many universities and may be the predominant input into the performance evaluation of staff and organisational units. This article used publicly available student evaluation of teaching data to present examples of where institutional responses to evaluation processes appeared to be educationally…

In the May 2010 issue of "Psychological Bulletin," R. E. McGrath, M. Mitchell, B. H. Kim, and L. Hough published an article entitled "Evidence for Response Bias as a Source of Error Variance in Applied Assessment" (pp. 450-470). They argued that response bias indicators used in a variety of settings typically have insufficient data to support such…

Purpose: The purpose of this paper is to critically analyze the value of the written comments section on student evaluations of teaching and develop a framework to improve the interpretability of such data. Design/methodology/approach: The paper reviews past investigations into the reliability and interpretability of student evaluations of…

We present a data-based perspective concerning recent (e.g., 2008) "Maclean's" magazine rankings of Canadian universities, including cluster analysis of the 2008 data. Canadian universities empirically resemble and relate to each other in a manner different from their formal classification and final rank ordering in the…

"The First-Year Seminar: Designing, Implementing, and Assessing Courses to Support Student Learning and Success," a five-volume series, is designed to assist educators who are interested in launching a first-year seminar or revamping an existing program. Each volume examines a different aspect of first-year seminar design or…

This paper introduces five commonly used approaches to analyzing multiple-choice test data. They are classical test theory, factor analysis, cluster analysis, item response theory, and model analysis. Brief descriptions of the goals and algorithms of these approaches are provided, together with examples illustrating their applications in physics…

In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…

This paper explores a new approach to the evaluation of educational technologies by using Eisner's connoisseurship model. This model has two essential features in program evaluation: holistic approach to the analysis and interpretation of data and multiple perspectives in the evaluative tasks (Eisner, 1998). Using Eisner's model, the key…

This chapter explores how multiple approaches including data mining can help examine how the lengths of student enrollment are associated with varying numbers of advanced placement units. (Contains 3 tables and 5 figures.)

In this article we report a 3-yr study of a large-enrollment Cell Biology course focused on developing student skill in scientific reasoning and data interpretation. Specifically, the study tested the hypothesis that converting the role of exams from summative grading devices to formative tools would increase student success in acquiring those…