Developing a Classification Tool Based on Bloom’s Taxonomy to Assess the Cognitive Level of Short Essay Questions
| Autor: | Maggy J W van Hoeij, Jan C. M. Haarhuis, Ronny F A Wierstra, Peter van Beukelen |
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| Rok vydání: | 2004 |
| Předmět: |
Observer Variation
Communication General Veterinary Teaching staff business.industry MEDLINE Reproducibility of Results Pilot Projects Subject (documents) General Medicine Education Subject-matter expert Cohen's kappa Taxonomy (general) Cognitive level Mathematics education Humans Curriculum Educational Measurement Education Veterinary business Psychology Netherlands |
| Zdroj: | Journal of Veterinary Medical Education. 31:261-267 |
| ISSN: | 1943-7218 0748-321X |
| DOI: | 10.3138/jvme.31.3.261 |
| Popis: | The cognitive level of short essay questions taken from assessments of two veterinary courses at the Faculty of Veterinary Medicine of Utrecht University (FVMU) was evaluated using a simplified classification tool based on the taxonomy of Bloom. Classifications were made by teaching staff members (subject matter experts, or SME) and by faculty members not involved in teaching the course (non–subject matter experts, or NSME). To compare the cognitive level assigned by raters in the SME group to that assigned by the NSME group, each test item was assigned a modal taxonomic level. The results indicate that the agreement level between a pair of raters within a group (SME or NSME) differed (34% to 77% and linear weighted Cohen’s kappa coefficient 0.12 to 0.60). The agreement level on the modal taxonomic level between the SME and NSME groups for the two courses was 65% and 73%, with a linear weighted Cohen’s kappa coefficient of 0.43 and 0.63 respectively. The requirement of expertise of a subject for classification is discussed. The introduction of the classification tool had a positive effect on teaching staff members’ awareness of the importance of the cognitive level of assessments. Improvements to the classification tool to obtain higher agreement levels are proposed. |
| Databáze: | OpenAIRE |
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