Student Ratings, Class Size, Written Comments, Rank and Gender Bias
Bradford P. Sobakowitz, Jacob Kogan
2015
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.
DownloadPaper Citation
in Harvard Style
P. Sobakowitz B. and Kogan J. (2015). Student Ratings, Class Size, Written Comments, Rank and Gender Bias . In Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-108-3, pages 218-223. DOI: 10.5220/0005435002180223
in Bibtex Style
@conference{csedu15,
author={Bradford P. Sobakowitz and Jacob Kogan},
title={Student Ratings, Class Size, Written Comments, Rank and Gender Bias},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2015},
pages={218-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005435002180223},
isbn={978-989-758-108-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Student Ratings, Class Size, Written Comments, Rank and Gender Bias
SN - 978-989-758-108-3
AU - P. Sobakowitz B.
AU - Kogan J.
PY - 2015
SP - 218
EP - 223
DO - 10.5220/0005435002180223