Evidence map›Paper›PMID 39286203›Full record

ArticleHeliyon2024

Predicting online learning experiences in sports education during the COVID-19 pandemic: Implications for pedagogical strategies.

Ran An, Abdullah Addas, Nadia Rehman, Shazia Rehman

Abstract read
In one paragraph

Article in Heliyon, 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
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.

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

4 authors.

Ran AnCollege of Finance and Economics, Zhengzhou University of Science and Technology, Zhengzhou, 450064, Henan, China.
Abdullah AddasDepartment of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Nadia RehmanDepartment of Mathematics, COMSATS University, Wah Campus, Islamabad, Pakistan.
Shazia RehmanDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to assess the predictors that impact the online learning experiences (OLEs) of undergraduate sports students amid the Coronavirus Disease 2019 (COVID-19) outbreak utilizing the Community of Inquiry (CoI) framework. An online survey was employed using the cluster sampling method to systematically examine the associations among the variables related to the OLE of sports students. A sample size of 402 undergraduate sports students from two universities in China was chosen and surveyed. Exploratory factor analysis was conducted to assess the validity of the questionnaires and model adequacy. Finally, a multiple linear regression analysis was performed to explore the associations of the study constructs. The results revealed that open communication, social presence, design and organization, and facilitation possess significant potential in predicting students' OLE. This demonstrates the paramountcy of transparent communication, directs focus towards the indispensability of fostering a sense of reception and admiration among sports students, and highlights educators' sway in shaping their students' holistic and positive educational encounters. The scalability of our study highlights its potential to contribute valuable insights for developing national-level policies and educational strategies for this demographic.

Indexed as

COVID-19EducationOnline learning experienceThe community of inquiry (CoI) frameworkUndergraduate sports students

Identifiers

PMID39286203
PMCPMC11403526

What OpenQuestion holds

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LicenceCC BY-NC
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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.