Evidence map›Paper›PMID 40761450›Full record

SynthesisFrontiers in psychology2025

The impact of achievement emotions on learning performance in online learning context: a meta-analysis.

Mengmeng Qi, Wenying Liu, Mingyue Li, Gaoge Wang, Bowen Liu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2025. 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

5 authors.

Mengmeng QiFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.
Wenying LiuFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.
Mingyue LiFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.
Gaoge WangFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.
Bowen LiuFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In online learning context, achievement emotions are of great significance and exert an influence on students' learning performance. However, the research conclusions about the impact of achievement emotions on learning performance are not uniform. Methods: Following PRISMA guidelines, we searched Web of Science, Scopus, EBSCO and Google Scholar (2012-2024). 21 studies (240 independent effect sizes) met inclusion criteria and were analyzed with a random-effects model. Moreover, multiple moderating variables were investigated in the models, such as learner levels, disciplines, online learning styles, technological types, and types of performance measure. Results: Positive emotions showed a moderate positive correlation with online learning performance (r = 0.478), whereas negative emotions showed a moderate negative correlation (r = -0.303). Technology type and performance-measure type significantly moderated these relationships, while learner level, discipline, and online learning style did not. Discussion: Findings underscore the importance of fostering positive emotions in online learning and of adopting technologies that lessen the detrimental influence of negative emotions. Implications for instructional design and future research are discussed.

Indexed as

achievement emotionslearning performancemeta-analysismoderating effectonline learning

Identifiers

PMID40761450
PMCPMC12318993

What OpenQuestion holds

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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.