Determining the Consistency of Student Grading in a Hybrid Business Course using a LMS and Statistical Software

Kenneth David Strang
Additional contact information
Kenneth David Strang: State University of New York, Plattsburgh, NY, USA & APPC Research, Australia

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2013, vol. 8, issue 2, 58-76

Abstract: Extant literature asserted that peer assessments improved learning but only a few studies had addressed the student rating consistency issue and not had evaluated this within a Learning Management System (LMS). The researcher explored how to conduct peer assessments in Moodle LMS for a hybrid-mode business course (N=90 students) which required 270 (25-page) reports. Rater agreement statistical theory was applied to test the consistency of student peer assessments. The resulting coefficient was 0.79 and statistically significant. A pair-wise t-test and a nonparametric Mann Whitley u-test confirmed there was no significant difference between the student ratings and the scores given by the professor on the same assignments. Nonparametric Spearman correlation was very high between each student rating coefficient as compared to the score given in Moodle, which indicated the LMS was reliable in providing a grade for the quality of student peer assessment. A protocol was developed using SPSS to calculate a peer assessment inter-rater agreement consistency indicator since this was not available in Moodle.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/jwltt.2013040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwltt0:v:8:y:2013:i:2:p:58-76

Access Statistics for this article

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

More articles in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().