Assessing Anatomy Knowledge: Student Perceptions of Computer-Based Multiple-Choice Examinations in Medical Education

The increasing adoption of computer-based examinations (CBEs) in medical education, has raised important questions about their effectiveness in assessing anatomy, a discipline that relies heavily on visual-spatial and practical understanding. While computer-based multiple-choice questions (MCQs) offer advantages such as efficiency and standardization, their competence in accurately reflecting students’ anatomical knowledge, particularly in resource-constrained settings, remains uncertain. This cross-sectional descriptive study assessed undergraduate students’ perceptions of computer-based MCQ anatomy assessments at Ambrose Alli University, Ekpoma, Nigeria. Using a semi-structured online questionnaire, the data obtained were analyzed using SPSS with statistical significance was accepted at p ≤ 0.05. The results indicated that most of the respondents found computer-based MCQs easy to understand. Many students stated that the questions covered the relevant areas of the anatomy curriculum. In addition, a good number of respondents preferred the computer-based examination to the traditional paper-based method. Students indicated that computer-based multiple-choice examinations were useful in assessing their knowledge of anatomy. Nonetheless, practical examinations were still considered important and were preferred as a supporting form of assessment. This finding implies that the use of both computer-based MCQs and practical examinations may allow for a more thorough assessment of students’ competence in anatomy.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22668220
Primary Topic
Anatomy and Medical Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Assessing Anatomy Knowledge: Student Perceptions of Computer-Based Multiple-Choice Examinations in Medical Education

Osagiede Newton's Osarumwense, Vidona Willy Barinem, Shelu Esther Omonye-Abai, Ogbe Onome Clementina et al.
Zenodo (CERN European Organization for Nuclear Research)
Anatomy and Medical Technology
article

Assessing Anatomy Knowledge: Student Perceptions of Computer-Based Multiple-Choice Examinations in Medical Education

Osagiede Newton's Osarumwense, Vidona Willy Barinem, Shelu Esther Omonye-Abai, Ogbe Onome Clementina, Olugbenga Mary Adeola, Oviosun Ezinne Chidinma, Abudu Enehinkhae Imuentinyan
article en

Abstract

The increasing adoption of computer-based examinations (CBEs) in medical education, has raised important questions about their effectiveness in assessing anatomy, a discipline that relies heavily on visual-spatial and practical understanding. While computer-based multiple-choice questions (MCQs) offer advantages such as efficiency and standardization, their competence in accurately reflecting students’ anatomical knowledge, particularly in resource-constrained settings, remains uncertain. This cross-sectional descriptive study assessed undergraduate students’ perceptions of computer-based MCQ anatomy assessments at Ambrose Alli University, Ekpoma, Nigeria. Using a semi-structured online questionnaire, the data obtained were analyzed using SPSS with statistical significance was accepted at p ≤ 0.05. The results indicated that most of the respondents found computer-based MCQs easy to understand. Many students stated that the questions covered the relevant areas of the anatomy curriculum. In addition, a good number of respondents preferred the computer-based examination to the traditional paper-based method. Students indicated that computer-based multiple-choice examinations were useful in assessing their knowledge of anatomy. Nonetheless, practical examinations were still considered important and were preferred as a supporting form of assessment. This finding implies that the use of both computer-based MCQs and practical examinations may allow for a more thorough assessment of students’ competence in anatomy.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 20%
Anatomy and Medical Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.