Evidence map›Paper›PMID 38462246›Full record

ArticleKorean journal of medical education2024

Examination of medical students' opinions on multimedia learning materials according to social cues: focusing on sound principles.

Wonseok Chang, Yura Kim, Hye Jin Park

Open access · goldAbstract read
In one paragraph

Article in Korean journal of medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Wonseok ChangDepartment of Physiology and Biophysics, Eulji University School of Medicine, Daejeon, Korea.
Yura KimDepartment of Medical Education and Humanities, Yeungnam University College of Medicine, Daegu, Korea.
Hye Jin ParkDepartment of Medical Education, Eulji University School of Medicine, Daejeon, Korea.
Eulji University · KRYeungnam University College

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough interest in various forms of learning media is increasing due to the coronavirus disease 2019 (COVID-19) pandemic there is relatively little research on influencing student motivation by intervening in cognitive processing. The purpose of this study was to present the optimal form of learning materials provided to medical students.

methodsThis study provided learning materials in class at a level according to social cues (script, video [artificial intelligence (AI) voice], video [professor voice]) based on the principle of voices among the principles of personalization, voices, image, and embodiment of social cues in multimedia learning, and surveyed students' opinions.

resultsThere was no statistically significant difference according to social clues in satisfaction and learning help, but both appeared in the order of silent videos containing the professor's voice, followed by videos containing the AI voice.

conclusionThis study is significant in that there is no research on the impact of student motivation on the provision of learning materials for medical school education in Korea, and we hope that it will help provide learning materials for self-directed learning of medical students in the post-COVID-19.

Indexed as

COVID-19Students, MedicalArtificial IntelligenceCuesHumansMultimediaLearning materialsMedical educationMultimedia learningVoices principles

Identifiers

PMID38462246
PMCPMC10925808
OpenAlexW4392261939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.