Evidence map›Paper›PMID 40033456›Full record

ArticleBMC psychology2025

To overcome test anxiety in on-line assessment: unpacking the mediator roles of techno competencies, teacher support, self-efficacy, and autonomy.

Yuhua Deng, Huying Liu

Abstract read
In one paragraph

Article in BMC psychology, 2025. 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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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.

Yuhua DengSchool of International Studies, Hunan Institute of Technology, Hengyang, 421001, China.
Huying LiuSWAN College, Central South University of Forestry & Technology, Changsha, 410211, China. huying.l2024@outlook.com.

Funding

Teaching reform research project of HEIs in Year 2023 in Hunan Province HNJG-20231611
6 · The paper itself

Abstract

This study explores the interplay between techno competence, teacher support, self-efficacy, autonomy, and test anxiety in the context of online assessments among 30 learners from a university in China. Employing a narrative inquiry approach, the study delves into the reflective narratives of participants, capturing their perceptions, experiences, and coping strategies related to test anxiety in online assessment settings. Findings reveal nuanced relationships between techno competence, teacher support, self-efficacy, autonomy, and test anxiety, highlighting the pivotal role of these factors in shaping students' experiences and outcomes. Learners with high techno competence demonstrate greater confidence in navigating online assessment platforms and employ adaptive coping strategies to manage test anxiety effectively. Conversely, those with low techno competence may experience heightened anxiety due to technical challenges and a lack of confidence in their digital skills. Perceived teacher support emerges as a crucial determinant in mitigating test anxiety, with supportive and nurturing relationships fostering a sense of security and confidence among learners. Additionally, self-efficacy and autonomy play significant mediating roles, influencing students' perceptions of their capabilities and their ability to regulate their learning processes. These findings underscore the importance of fostering techno competence, providing teacher support, and promoting self-efficacy and autonomy to alleviate test anxiety and enhance academic success in online assessment environments.

Indexed as

Educational MeasurementPersonal AutonomySelf EfficacySocial SupportStudentsTest AnxietyAdaptation, PsychologicalAdultChinaFemaleHumansInternetMaleUniversitiesYoung AdultAutonomySelf-efficacyTeacher supportTechno competenceTest anxiety

Identifiers

PMID40033456
PMCPMC11877870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.