Performance analysis of online assessment systems

Authors:
Xue Bai;Jordan Cao;Yingjin Cui
Affiliations:
Department of Computer Information Systems, School of Business, Virginia State University, Petersburg, VA;Department of Computer Science and Quantitative Methods, College of Business Administration, Winthrop University, Rock Hill;Department of Computer Information Systems, Virginia State University, Petersburg, VA
Venue:
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Year:
2006

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Abstract

Web-based online assessment systems have been overwhelmingly accepted by instructors, students, and educational institutions. In order to improve quality of existing systems, our effort aimed at identifying important predictors of students' satisfaction. In this study, the principal component analysis and logistic regression were undertaken to determine the underlying dimensions and the importance of predictors. It was found that "effectiveness of the assessment system", "getting help to use the system in class", "system performance" and "responsiveness" were significant while the predictors "effectiveness of the system and getting help to use the system" had stronger effect on user satisfaction. The survey instrument was tested for reliability and validity.