ArticleOAlib2020
Effect of an eLearning Intervention on Undergraduate Health Professional Student's General Histology and Embryology Summative Examination Scores.
Article in OAlib, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Attitudes and usage of visual-aids in graduate student learning of gross anatomy at Makerere University.African health sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Sub-Saharan Africa has the worst global shortage of health professionals. The use of eLearning interventions, that lead to increased interactions according to the Interaction Equivalency theorem, is a potential means of addressing this shortage of health professionals. In this audit we set out to determine the effect of an eLearning general histology and general embryology intervention on student's summative examination scores. The audit compared the written and practical summative examination scores of three sets of student examinations one of which had a five-week eLearning intervention. Two of the examinations were for the same students in one year but different courses while the other two were for students doing the same subject but in different years. In each of the above pair of examinations there was one group from the course that had the eLearning intervention. A Bayesian multilevel regression modelling approach was used to analyse the student scores. The course with the online eLearning intervention had significantly better scores (p-value < 0.01), than the course on a different subject offered at the same time to the same students without the intervention and the same course with students from the previous academic year. On controlling for other factors, the eLearning intervention led to higher examination scores though this was not significant. Student's nationality, sponsorship and program significantly affected the examination scores, controlling for other factors. Overall the students in the course with the online eLearning intervention had significantly better examination scores. The student's nationality, sponsorship and program significantly affect their examination scores. Future, larger and or qualitative studies, are needed to further explore the effect of these factors on student's examination scores.
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Registered trials
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