Evidence map›Paper›PMID 35472479›Full record

ArticleJournal of affective disorders2022

E-learning intention of students with anxiety: Evidence from the first wave of COVID-19 pandemic in China.

Xuan Hu, Jiaqi Zhang, Shuang He, Ruilin Zhu, Shan Shen, Bingsheng Liu

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 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
21.3field-weighted citation impact, top 1% of its field
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, 47 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Xuan HuSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, Chongqing 440044, China.
Jiaqi ZhangSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, Chongqing 440044, China. Electronic address: 20160267@cqu.edu.cn.
Shuang HeSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, Chongqing 440044, China. Electronic address: heshuang@cqu.edu.cn.
Ruilin ZhuManagement Science, Lancaster University Management School, Lancaster LA1 4YX, United Kingdom. Electronic address: ruilin.zhu@lancaster.ac.uk.
Shan ShenSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, Chongqing 440044, China. Electronic address: Shan.S@cqu.edu.cn.
Bingsheng LiuSchool of Public Policy and Administration, Chongqing University, 174 Shazheng St, Chongqing 440044, China. Electronic address: bingsheng@cqu.edu.cn.
Chongqing University · CNLancaster University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has exposed the need to address the mental health issues for the future adoption of e-learning among massive students in higher education. This study takes a lead to investigate whether and how general anxiety will influence college students' e-learning intention to provide knowledge to better improve the e-learning technology.

methodsWe adopted the Technology acceptance model (TAM) to examine the difference between students with and without general anxiety in the e-learning intention where the students are classified based on the General Anxiety Disorder-2 scale. The model is empirically analyzed based on a survey of 512 college students in China regarding their e-learning experience in the first wave of the COVID-19 pandemic.

resultsResults demonstrate that the TAM is powerful in explaining the e-learning intention among college students with general anxiety. Besides, all effects associated with perceived usefulness (PU) are reinforced while those associated with perceived ease of use (PEOU) are attenuated in the anxiety group. The results suggest that instructors and higher education institutions should take advantage of the significant PU-intention relationship by providing quality e-learning, which is paramount to coping with the general anxiety among students. LIMITATIONS: This study provides a prototype attempt to investigate the influence of anxiety on e-learning where the different types of anxiety sources are synthesized. However, anxiety can stem from internal sources (computer anxiety, academic stress) and external sources (fear of the virus, lack of social interaction), which requires further investigations.

Indexed as

Computer-Assisted InstructionCOVID-19AnxietyAnxiety DisordersChinaHumansIntentionPandemicsStudentsAnxietyCOVID-19E-learningGADTAM

Identifiers

PMID35472479
PMCPMC9033630
OpenAlexW4224981372

What OpenQuestion holds

Textmetadata
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.