ArticleLa Tunisie medicale
In COVID-19 context : a look back at the transition to exclusive e-learning experiment and the engagement of medical students.
Article in La Tunisie medicale. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a context of unprecedented pandemic, e-learning has emerged as the only possible alternative to pursue higher education. In this work, we carried out an experiment consisting in completely transforming a fundamental science course into e-learning via the tools offered by Moodle platform. The results were generally encouraging in terms of learning outcomes and evaluation. However, the lack of motivation and adhesion observed in part of the promotion remains the main obstacle universally criticized in this type of teaching.
Indexed as
Identifiers
35288894PMC8996065What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.