Evidence map›Paper›PMID 39161810›Full record

ArticleHeliyon2024

Chinese nursing students' academic self-concept and deep learning in online courses: Does psychological capital play a moderating role?

Siai Zhang, Bingyan Zhao, Xuejiao Li, Chunmei Zhang, Xinyu Lin, Yajun Zhang, Jiajia Li, Cuiwei Lai

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.

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0citing papers in PubMed
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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

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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

8 authors.

Siai ZhangCardiac Intensive Care Unit (CICU), Meizhou People's Hospital (Meizhou Academy of Medical Sciences), Meizhou, Guangdong province, China.
Bingyan ZhaoGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xuejiao LiGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chunmei ZhangSchool of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xinyu LinNursing Department, ShunDe Hospital GuangZhou University of Chinese Medicine (ShunDe District Hospital of Chinese Medicine of Foshan City), Foshan, Guangdong province, China.
Yajun ZhangOperating Room, The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiajia LiCardiac Intensive Care Unit (CICU), Meizhou People's Hospital (Meizhou Academy of Medical Sciences), Meizhou, Guangdong province, China.
Cuiwei LaiNursing Department, Meizhou People's Hospital (Meizhou Academy of Medical Sciences), Meizhou, Guangdong province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of online education has become indispensable for nursing students seeking to acquire knowledge. However, the efficacy of online education often falls short of initial expectations. Deep learning (DL) can assist learners tackle complex problems and make innovative decisions. Despite its potential, there has been limited exploration into the underlying mechanisms of DL among nursing students, both domestically and globally. This study examined the potential moderating effect of psychological capital (PC) on the association between academic self-concept (AS-c) and DL among nursing students from China enrolled in online courses. Conducted from October 2022 to January 2023, the survey involved 635 nursing students from four public universities in eastern China, utilizing convenience sampling. Data was collected using the AS-c scale, psychological capital scale, and DL scale in online courses. Correlation analyses, univariate analyses, multiple linear regression analyses, and the PROCESS macro were employed for a comprehensive examination. The results revealed a strong positive relationship between nursing students' DL and both their AS-c (r = 0.766,

Indexed as

Academic self-conceptDeep learningNursingOnline educationPsychological capital

Identifiers

PMID39161810
PMCPMC11332870

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LicenceCC BY-NC-ND
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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.