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A six step approach for developing computer based assessment in medical education
Mohammed Ahmed Hassanien1, Abdulmoneam Al-Hayani, Rasha Abu-Kamer
1Medical Education Department, Faculty of Medicine, King Abdulaziz University, Jeddah 21589, P.O. Box 80205, Saudi Arabia. mohammedhassanien700@yahoo.com
Medical Teacher
|April 16, 2013
Summary
Computer-based assessment (CBA) in medical education offers personalized feedback and reduces workloads. While students reported high satisfaction, about half preferred a pilot test before formal implementation, impacting future recommendations.
Area of Science:
- Medical Education
- Educational Technology
- Assessment Methods
Background:
- Assessment is crucial for evaluating student learning in education.
- Computer-based assessment (CBA) provides immediate, personalized feedback, aiding academic progress.
- CBA can significantly reduce administrative burdens related to examinations and grading.
Purpose of the Study:
- To outline a six-step methodology for developing CBA in higher education.
- To evaluate student perceptions of computer-based summative assessment at a medical college.
- To assess the suitability of CBA for final examinations in a Saudi Arabian medical context.
Main Methods:
- A six-step development approach for CBA was described.
- Questionnaires were administered to 341 third-year medical students (161 female, 180 male).
- Data collection occurred immediately after final examinations to gauge system adequacy.
Main Results:
- Students expressed high satisfaction with the initial implementation of CBA for final exams.
- Approximately 50% of respondents advocated for a pilot CBA before full deployment.
- Despite some reservations, students generally agreed that CBA's advantages surpassed its disadvantages.
Conclusions:
- The initial Saudi experience with CBA in medical final examinations was largely positive.
- Student feedback suggests a need for pilot testing before widespread adoption of CBA.
- Further research is recommended to explore CBA's application in larger cohorts and diverse subjects.
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