Does An Association Between Student Evaluations Of Related CDIO Courses Exist?

Does An Association Between Student Evaluations Of Related CDIO Courses Exist?

B. Ersbøll, T. Sliusarenko, L. Clemmensen (2011).  Does An Association Between Student Evaluations Of Related CDIO Courses Exist?. 9.

This paper discusses possible uses of student course evaluations on a pair of courses developed to comply with the CDIO concept. It is seen that both similarities and differences in the evaluations can be found. These can in part be used to assess if the CDIO concept has been implemented as it was intended and possible adjustments can be suggested.

The data consist of 33 observations with full information on 8 general course evaluation questions on each of the two courses. The data has been collected over three years (2008, 2009, and 2010). This makes it necessary to consider methods which are able to handle possible differences between years.

We illustrate different ways to analyse the associations between the two courses by utilizing such data. Inferences about the mean differences between the courses are performed using analysis of variance techniques. In this context they may be considered as generalisations of the paired t-test. The generalisation to an analysis of variance makes it possible to handle differences between years. Inferences about the correlation structure of the data are performed using so-called canonical correlation analyses. A possible difference between years of the evaluations makes it necessary to consider adjusting the data for the year effect.

We find that one course generally is evaluated as more satisfactory than the other on five of the questions. Also we find a very strong effect of year, indicating the need to remove the year effect before proceeding with the canonical correlation analysis. The canonical correlation analysis is only significant at a 10% level of significance for these data and resulting associations must therefore be interpreted with caution. The interpretation results in a combination of evaluation questions for one course which correlate well with another combination of evaluation questions for the other course.

 

Authors (New): 
Bjarne Kjær Ersbøll
Tamara Sliusarenko
Line Harder Clemmensen
Pages: 
9
Affiliations: 
Technical University of Denmark, Denmark
Keywords: 
Associations
student evaluations
related CDIO courses
paired t-test
analysis of variance
canonical correlations
Year: 
2011
Reference: 
http://www.cdio.org/: 
McKeachie, W.J., “Student Ratings: Their Validity of Use”, American Psychologist, Vol. 52, 1997, pp 1218-1225.: 
Cohen, P. A., “Student ratings of instruction and student achievement”, Review of Educational Research, Vol. 51, No. 3, 1981, pp 281-309. : 
Feldman, K. A., The association between student ratings of specific instructional dimensions and student achievement: Refining and extending the synthesis of data from multisection validity studies. Research in Higher Education, Vol. 30, No. 6. 1989.: 
Althouse, L. A., Stritter, F. T., Strong, D. E., Mattern, W. D., “Course evaluations by students: the relationship of instructional characteristics to overall course quality”, Pproceedings of: The Annual Meeting of the American Educational Research Association; 1998 April 13-17; San Diego, CA, 1998. : 
Guest, A. R., Roubidoux, M. A., Blance, C. E., Fitzgerald, J. T., Bowerman, R. A., 1999. “Limitations of student evaluations of curriculum”, Acta Radiol, Vol. 6, 1999, pp 229-35. : 
Ersbøll, B. K., ”Analysing course evaluations and exam grades”, Proceedings of: International Conference on Computer Supported Education, CSEDU 2010, Valencia, Spain, 2010, 6pp. : 
Sliusarenko, T. Ersbøll, B. K., ”Canonical correlation analysis of course and teacher evaluation”, Proceedings of: International Conference on Computer Supported Education, CSEDU 2010, Valencia, Spain, 2010, 4pp. : 
http://www.kurser.dtu.dk/2009-2010/02312.aspx?menulanguage=en-GB: 
http://www.kurser.dtu.dk/2009-2010/02313.aspx?menulanguage=en-GB: 
Hotelling, H., “The most predictable criterion”, Journal of Educational Psychology, Vol. 26, 1935, pp 139-142.: 
Hotelling, H., “Relation between two sets of variates”, Biometrika, Vol. 28, No. 3-4 1936, pp 321-377.: 
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