Evidence map›Paper›PMID 37954340›Full record

ArticleHeliyon2023

Chinese students' perceptions of social networks and their academic engagement in technology-enhanced classrooms.

Ting Yin, Jing Yin, Zhujun Xu

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ting YinSchool of Foreign Languages, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, 510665, China.
Jing YinSchool of Foreign Languages, Hengyang Normal University, Hengyang, Hunan, 421002, China.
Zhujun XuHuman Resources Division, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, 510665, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using social networks as one of the new instruments of information and communication technologies in recent years has gained popularity. Social networks are used in various political, social, cultural, and educational fields. In education, students increasingly use social networks to create and maintain social relationships and support informal learning methods. The current study investigated the relationship between the use of social networks and academic engagement in Chinese EFL language learners. Using a convenience sampling method, the researcher invited 591 EFL students from Guangdong Province, China to participate in the study. The participants consisted of 307 male learners and 284 female learners, of whom 345 (58.38 %) were B.A., 234 (39.59 %) were M.D. and 2.03 % were Ph.D. To obtain the necessary data, the researcher employed two questionnaires. The researcher distributed the questionnaires that were Social Network Usage Questionnaire and Academic Engagement Questionnaire to the participants. Employing the multivariate regression method and Pearson correlation coefficient in SPSS and Amos, the researcher analyzed the collected data. The results show that there is a significant and positive association between learners' social network usage, their ethnographic factor (age), and their academic engagement. However, other ethnographic factors such as gender and educational level do not affect learners' social networks usage. Also, there is a significant and positive association between the amount of use of social networks for entertainment and components of academic engagement which are cognitive, emotional, and socio-behavioral factors. The use of technology, especially the use of social networks, enhances learners' academic engagement and increases their motivation, energy, and mastering abilities. They provide the ability to easy access for all learners and provide personalized/individual course materials.

Indexed as

Academic engagementOnline learning environmentsSocial networksTechnology-enhanced learning

Identifiers

PMID37954340
PMCPMC10638011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.