Evidence map›Paper›PMID 36415453›Full record

ArticleCurrent psychology (New Brunswick, N.J.)2022

Exploring the pathway from seeking to sharing social support in e-learning: an investigation based on the norm of reciprocity and expectation confirmation theory.

Xuan Hu, Jiaqi Zhang, Shan Shen

Abstract read
In one paragraph

Article in Current psychology (New Brunswick, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  5. Longitudinal exploration of online learning burnout: the role of social support and cognitive engagement.European journal of psychology of education = Journal europeen de psychologie de l'education · 2023
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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.

Xuan HuSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, 440044 Chongqing, China.ORCID 0000-0002-3432-8659
Jiaqi ZhangSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, 440044 Chongqing, China.
Shan ShenSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, 440044 Chongqing, China.ORCID 0000-0003-0765-3998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

E-learning is increasingly evidenced as a conduit for social support exchange among students and protects them against mental health issues, however, the cognitive process of how social support is exchanged remains unclear. This study uses a cognitive theory approach to achieve a more nuanced explanation of students sharing or giving social support in e-learning. Specifically, we adopted the Norm of Reciprocity and Expectation Confirmation Theory to reveal the interconnection between students' perceived social support and giving social support in learning. The model is empirically validated based on survey data of 512 respondents from college students across China regarding their e-learning experience during the first wave of Covid-19. Our findings suggest that the relationship between perceived social support and giving social support is significant and positive, and this relationship is partially mediated by confirmation of social support. These findings imply that e-learning can foster a self-reliant environment for social support exchange among college students. Under such an environment, students' cognitive process in their seeking and sharing social support is majorly following the norm of reciprocity and secondary expectation confirmation theory.

Indexed as

E-learningExpectation confirmation theorySocial supportThe norm of reciprocity

Identifiers

PMID36415453
PMCPMC9672610

What OpenQuestion holds

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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.