Evidence map›Paper›PMID 42712494›Full record

ArticleFrontiers in psychology2026

Chat-based interaction in virtual classes: EFL students' perceptions, motivation, and well-being.

Nada Fahad Bin Dahmash

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

1 author.

Nada Fahad Bin DahmashCollege of Applied Studies, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the growing body of research concerning online learning technologies in language education, limited attention has been directed toward realizing the affordances of chat-based interaction in a synchronous virtual classroom. This study explores the perceptions of female EFL postgraduate students regarding the use of chat-based interaction in synchronous virtual classrooms, specifically in reference to their motivation and well-being after attending a 15-weeks intensive English course delivered online via Blackboard. Methods: A cross-sectional survey design with a quantitative research methodology was used to collect data from ( Results: The findings demonstrate a consistent tendency for postgraduate EFL learners to report positive experiences with chat-based interaction in the synchronous virtual classroom. Their perceptions, motivation and well-being were strongly and significantly interrelated, with motivation exhibiting the highest relationship to well-being ( Conclusion: The results revealed chat-based interaction is an accommodative, low-anxiety communication method that is associated with engagement and well-being among learners in online EFL settings. It adds to the prevailing literature by promoting knowledge of chat-based interaction as a psychologically and pedagogically significant mode of communication. It further emphasizes the importance of instructors including chat-based activities to create supportive, engaging, and emotionally safe learning environments in virtual classrooms. Given evidence of substantial conceptual and empirical overlap among the three constructs (see Instrument Validity), these findings should be interpreted as exploratory and correlational rather than confirmatory or causal.

Indexed as

chat-based interactioncomputer-mediated communication (CMC)EFL learnersmotivationperceptionssynchronous virtual learningwell-being

Identifiers

PMID42712494
PMCPMC13549909

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.