Evidence map›Paper›PMID 36817220›Full record

ArticleJournal of Taibah University Medical Sciences2023

Feedback from medical student on an interactive online anatomy practical using the Google Jamboard platform.

Shamsi A Shamsuddin, Choy K Woon, Siti N H Hadie

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shamsi A ShamsuddinDepartment of Anatomy, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.
Choy K WoonDepartment of Anatomy, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
Siti N H HadieDepartment of Anatomy, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kota Bharu, Kelantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The disruption caused by COVID-19 in anatomy education has forced the transition of in-person to online learning. Despite the increasing use of technology-enhanced tools in online classes, anatomy lecturers face significant difficulty in making classes interactive. Hence, this study explored the feasibility of a web-based virtual whiteboard, Google Jamboard (GJ) for two online anatomy practical classes. Methods: This was a qualitative phenomenology study conducted on 116 second-year medical students from two Malaysian public universities via teleconferencing applications that allowed synchronous small-group activities. Each group was given a different link to 10 GJ slides that featured plain anatomy diagrams and instructions for the group task. Upon completion of the tasks, the students presented their tasks to the whole class. An online feedback form was distributed at the end of the practical session to explore the experience of the students when using the tool. Results: Thematic analysis of student responses generated seven themes that reflected perceived learning benefits, challenges faced by the students, and suggestions for future improvement. Conclusions: These findings suggest that GJ is a useful tool for promoting collaborative learning in virtual anatomy education. Nevertheless, the impact of this tool on the attainment of learning outcomes remains unknown. Hence, more widescale research is needed to confirm our findings.

Indexed as

Anatomy educationCOVID-19Google JamboardInteractive learningOnline learning

Identifiers

PMID36817220
PMCPMC9926110

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.