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Updating RIGs: including the systematic influence of online study on student evaluation of teaching
Authors:Stuart Palmer  Calvin Smith
Institution:1. Faculty of Science and Technology , Deakin University , Geelong , Australia spalm@deakin.edu.au;3. Griffith Institute for Higher Education , Griffith University , Southport , Australia
Abstract:Based on student evaluation of teaching (SET) ratings from 1,432 units of study over a period of a year, representing 74,490 individual sets of ratings, and including a significant number of units offered in wholly online mode, we confirm the significant influence of class size, year level, and discipline area on at least some SET ratings. We also find online mode of offer to significantly influence at least some SET ratings. We reveal both the statistical significance and effect sizes of these influences, and find that the magnitudes of the effect sizes of all factors are small, but potentially cumulative. We also show that the influence of online mode of offer is of the same magnitude as the other 3 factors. These results support and extend the rating interpretation guides (RIGs) model proposed by Neumann and colleagues, and we present a general method for the development of a RIGs system.
Keywords:student evaluation of teaching  online courses  rating interpretation guide
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