Performance equivalency between computer-based and traditional pen-and-paper assessment: A case study in clinical anatomy
| Autor: | Maria Amélia Ferreira, Bernardo Cruz, Bruno Martini Guimarães, André Ferreira, Maria Dulce Madeira, José Ribeiro, Hélio Alves, Ricardo Cruz-Correia |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Embryology Medical education Histology 020205 medical informatics business.industry Teaching method Educational technology Computer based Workload 02 engineering and technology General Medicine Clinical anatomy Session (web analytics) law.invention Sectional Anatomy 03 medical and health sciences Randomized controlled trial law 0202 electrical engineering electronic engineering information engineering Medicine 030101 anatomy & morphology Anatomy business |
| Zdroj: | Anatomical Sciences Education. 11:124-136 |
| ISSN: | 1935-9772 |
| Popis: | The time, material, and staff-consuming nature of anatomy's traditional pen-and-paper assessment system, the increase in the number of students enrolling in medical schools and the ever-escalating workload of academic staff have made the use of computer-based assessment (CBA) an attractive proposition. To understand the impact of such shift in the assessment method, an experimental study evaluating its effect on students' performance was designed. Additionally, students' opinions toward CBA were gathered. Second-year medical students attending a Clinical Anatomy course were randomized by clusters in two groups. The pen-and-paper group attended two sessions, each consisting of a traditional sectional anatomy steeplechase followed by a theoretical examination, while the computer group was involved in two similar sessions conducted in a computerized environment. At the end of each of the computer sessions, students in this group filled an anonymous questionnaire. In the first session, pen-and-paper group students scored significantly better than computer-group students in both the steeplechase (mean ± standard deviation: 66.00 ± 14.15% vs. 43.50 ± 19.10%; P |
| Databáze: | OpenAIRE |
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