Authors:
Bradford P. Sobakowitz
1
and
Jacob Kogan
2
Affiliations:
1
AT Center for Applied Research, United States
;
2
UMBC, United States
Keyword(s):
World Wide Web, Student Course Evaluation Questionnaire, Numerical Student Ratings, Student Written Comments, Rank and Gender Bias.
Related
Ontology
Subjects/Areas/Topics:
Assessment and Accreditation of Courses and Institutions
;
Computer-Supported Education
;
Educating the Educators
;
Learning/Teaching Methodologies and Assessment
;
Social Context and Learning Environments
;
Teacher Evaluation
Abstract:
The preliminary analysis presented is based on examination of two publicly available data sets. The first one consists of approximately 30,000 Student Course Evaluation Questionnaires (SCEQ) available at the University of Maryland, Baltimore County’s (UMBC) website (http://www.umbc.edu/oir/sceq/index.html. This dataset is used to analyze the effect of class size, faculty rank and gender on student ratings. The second data set is available at the University of Maryland College Park’s (UMCP) website (http://www.ourumd.com/viewreviews/?all). The website contains over 10,000 students’ rating (both numerical and written comments). This data set is used to examine correlation between the ratings and size of students’ written comments. The results presented are compared with those already reported in the literature.