Evidence map›Paper›PMID 37972001›Full record

ArticlePloS one2023

An empirical study on learners' learning emotion and learning effect in offline learning environment.

Xiangwei Mou, Yu Xin, Yongfu Song, Jinshan Xiang, Yuanbin Tang

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Xiangwei MouThe Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.
Yu XinThe Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.
Yongfu SongCollege of Electronic and Information Engineering/Integrated Circuits, Guangxi Normal University, Guilin, China.
Jinshan XiangThe Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.
Yuanbin TangThe Teachers College for Vocational and Technical Education, Guangxi Normal University, Guilin, Guangxi, China.ORCID 0000-0001-8594-5617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of non-cognitive factors represented by facial emotion in educational evaluation has attracted much attention in recent years. There are many existing studies on facial emotion assisted education evaluation, but most of them are based on virtual learning environments, which means that the research on facial emotion and learning effect in offline learning environments is sparse. In order to solve this problem, this study designed an emotion observation experiment based on the offline learning environment, obtained the type of learner facial emotion and learning effect of 127 college students, and further explored the relationship between the two. The results show that: 1) We obtained eight types of learner emotion through the combined description method: joy, relaxation, surprise, meekness, contempt, disgust, sadness, anxiety and their respective PAD emotional mean. 2) We obtained the correlation results of the six emotions of joy, relaxation, surprise, meekness, contempt, and anxiety with the learning effect and the predicted value of the learning effect. 3) We then constructed an explanatory model of learner emotion and learning effect based on the offline learning environment.

Indexed as

DisgustEmotionsAttentionFacial ExpressionHumansLearningSadness

Identifiers

PMID37972001
PMCPMC10653466

What OpenQuestion holds

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LicenceCC BY
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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.