Evidence map›Paper›PMID 38248131›Full record

ArticleEuropean journal of investigation in health, psychology and education2024

Academic Success at Social Costs: An Exploratory Study on Social Networks of Chinese Students under Academic Streaming.

Jinjing Fang, Gavin T L Brown

Abstract read
In one paragraph

Article in European journal of investigation in health, psychology and 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.

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0cells of the map it votes in
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

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

2 authors.

Jinjing FangFaculty of Education and Social Work, The University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0002-1132-1673
Gavin T L BrownFaculty of Education and Social Work, The University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0002-8352-2351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In universities that require students to reside in dormitories, there are two types of social networks-study/classroom-based and social/dorm room-based. The academic streaming system may disrupt study/classroom connections, but its impact on students' social networks is unknown. Using self-reported surveys, this study examines ego network measures of network sizes, turnover, multiplexity, and diversity among 382 students (44% female, 56% male). Surveys were administered before and after the university employed a first-semester grade-point average to demote or promote students into an honours college. Follow-up interviews were conducted with 11 honours students staying within their track and 11 students who were re-streamed to the non-honours track. Quantitative results showed that students in the non-honours college and who remained there had increasingly overlapping friendship circles between study and social environments, along with more diverse social connections, indicating stronger networks. In contrast, honours participants experienced fewer overlapping networks across domains and less dispersed social ties, especially after the academic replacement process. Qualitative results showed that the honours students faced a trade-off between academic success and social engagement in maintaining their elite status. Re-streamed students experienced otherness in social groups and decreased psychological wellbeing. This study contributes to the application of network analysis in education and provides insights into the unintended consequences of educational practice on students' social networks.

Indexed as

academic streamingassessmenthigher educationmixed methodssocial networks

Identifiers

PMID38248131
PMCPMC10814072

What OpenQuestion holds

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LicenceCC BY
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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.