Enhance course evaluations with faculty data


Previously we have explored assessing assignments along with the student work the assignment prompted.  We have also experimented with a parallel idea in course evaluations. The work was done in the College of Agriculture Human and Natural Resource Sciences, with their college-wide course evaluation between 2008 and 2009. The course evaluation instrument contains several Likert blocks that ask about constructs: Skills Development, Learning Environment, Critical Engagement and Disciplinary Knowledge.

The data from the course evaluation were reported to faculty in a multi-tabbed Excel workbook. The first tab contained a survey-like structure where faculty were asked to rate their intentions for the course, using the same measures as were included in the student course evaluation, see Figure 1

Figure 1, screen shot of a portion of the Excel workbook where faculty were prompted to rate their intention for the course. Averages are calculated from the several ratings in the construct and shown to the right. The averages will also be used on Figure 2.

Figure 1, (click to enlarge) screen shot of a portion of the Excel workbook where faculty were prompted to rate their intention for the course. Averages are calculated from the several ratings in the construct and shown to the right. The averages will also be used on Figure 2.

The second tab of the work book provided a means for faculty to compare their goals with the student perception of how successful the course was at meeting the goal, and also compare the course against a programmatic average, Figure 2.

Figure 2, a screen shot of a portion of the Excel workbook where faculty can compare their goal (pink) against their students perceptions of the course and also against an academic program's average rating.

Figure 2, (click to enlarge) a screen shot of a portion of the Excel workbook where faculty can compare their goal (pink) against their students perceptions of the course (blue) and also against an academic program's average rating (white).

To date, we have not worked with faculty using these data, nor have the faculty intentions been collected centrally and rolled up the the program level to assess intentions of courses against the goals of the program.

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