Title
Dr. Fox Rocks: Using Data-Mining Techniques To Examine Student Ratings Of Instruction
Abstract
Few traditions in higher education evoke more controversy, ambivalence, criticism, and, at the same time, support than student evaluation of instruction (SEI). Ostensibly, results from these end-of-course survey instruments serve two main functions: they provide instructors with formative input for improving their teaching, and they serve as the basis for summative profiles of professors' effectiveness through the eyes of their students. In the academy, instructor evaluations also can play out in the high-stakes environments of tenure, promotion, and merit salary increases, making this information particularly important to the professional lives of faculty members. At the research level, the volume of the literature for student ratings impresses even the most casual observer with well over 2,000 studies referenced in the Education Resources Information Center (ERIC) alone (Centra, 2003) and an untold number of additional studies published in educational, psychological, psychometric, and discipline-related journals. There have been numerous attempts at summarizing this work (Algozzine et al., 2004; Gump, 2007; Marsh & Roche, 1997; Pounder, 2007; Wachtel, 1998). Student ratings gained such notoriety that in November 1997 the American Psychologist devoted an entire issue to the topic (Greenwald, 1997). The issue included student ratings articles focusing on stability and reliability, validity, dimensionality, usefulness for improving teaching and learning, and sensitivity to biasing factors, such as the Dr. Fox phenomenon that describes eliciting high student ratings with strategies that reflect little or no relationship to effective teaching practice (Ware & Williams, 1975; Williams & Ware, 1976, 1977). © 2009 Springer Netherlands.
Publication Date
12-1-2009
Publication Title
Quality Research in Literacy and Science Education: International Perspectives and Gold Standards
Number of Pages
383-398
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-1-4020-8427-0_19
Copyright Status
Unknown
Socpus ID
80855161154 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/80855161154
STARS Citation
Wang, Morgan C.; Dziuban, Charles D.; Cook, Ida J.; and Moskal, Patsy D., "Dr. Fox Rocks: Using Data-Mining Techniques To Examine Student Ratings Of Instruction" (2009). Scopus Export 2000s. 11247.
https://stars.library.ucf.edu/scopus2000/11247