Evidence map›Paper›PMID 38785878›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Factors Influencing the Satisfaction of Second Language Learners of Chinese in Online Courses.

Xingrong Guo, Xiang Li, Yiming Guo

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. 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. 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

3 authors.

Xingrong GuoCollege of Foreign Languages, Shanghai Maritime University, 1550 Haigang Ave, Shanghai 201306, China.ORCID 0000-0001-8672-2108
Xiang LiCollege of Foreign Languages, Shanghai Maritime University, 1550 Haigang Ave, Shanghai 201306, China.
Yiming GuoSchool of Economics and Management, Shanghai Maritime University, 1550 Haigang Ave, Shanghai 201306, China.

Funding

Project supported by the National Social Science Foundation of China in the later stage, 2022 Z20238016
6 · The paper itself

Abstract

The study aims to investigate the relationship among the key factors affecting second language learners' satisfaction with online Chinese courses and their willingness to continue utilizing them by constructing a Model of Chinese Learners' Satisfaction in Online Courses. Additionally, the influence of participants' individual differences was also explored. A total of 203 second language learners of Chinese participated in the questionnaire survey, with 5 learners further participating in interviews. Learner expectations, learner perceived quality, and learner perceived value were identified as important factors influencing learner satisfaction and willingness to continue using the online course. The results of the questionnaire survey showed that (1) learner individual differences, such as age, Chinese proficiency, weekly study duration, and offline Chinese course experience, significantly influence learner satisfaction. (2) Learner expectations have a significant positive impact on perceived quality, while perceived quality positively affects perceived value. (3) Learner satisfaction significantly influences the willingness to continue using online courses. (4) The results of the interview revealed that most learners still prefer traditional offline courses, indicating that online teaching has several shortcomings and deficiencies. Overall, this study provides some scientific and reasonable decision-making references for improving online teaching methods, aiming to enhance learner satisfaction and promote the development of online education.

Indexed as

influencing factorslearners’ satisfactiononline teachingsecond language learners of Chinese

Identifiers

PMID38785878
PMCPMC11118836

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.