Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 517

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

How unique is the foreign language classroom enjoyment and anxiety of Chinese EFL learners?

Jiang, Yan, Dewaele, Jean-Marc·2019·System
DOI 10.1016/j.system.2019.02.017
Open this paper in CoChat — free account

Abstract

Abstract Recent research has shown that Chinese foreign language learners' classroom emotions stand out from learners in the rest of the world. The present mixed-method study investigated to what extent foreign language enjoyment (FLE) and foreign language classroom anxiety (FLCA) of 564 Chinese undergraduate EFL learners are different from learners outside China. While mean levels of FLE and FLCA were found to differ, most of the patterns between FLE and FLCA and a range of learner-internal and teacher-related variables were comparable to those identified in previous research, except for Chinese students' dislike of unpredictable behaviour by the teacher. Participants reported similar levels of FLE but higher levels of FLCA compared to the international sample in Dewaele and MacIntyre (2014), which could be attributed to the Chinese educational context. Multiple regression analyses revealed that FLE was predicted more strongly by teacher-related variables while FLCA was mostly predicted by learner-internal variables, confirming earlier research outside China. Qualitative analysis of learners’ emotional experiences also revealed that FLE was more likely to have been triggered by the teacher while FLCA was more related to learners themselves. Pedagogical implications of the findings are provided for EFL teaching in Chinese universities.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.system.2019.02.017

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 1

  1. Oxford, 2017, Anxious language learners can change their minds: Ideas and strategies from traditional psychology and positive psychology, 179

Cited by

See all 517

Metadata

Authors
Jiang, Y., & Dewaele, J.-M.
Venue
System
Publisher
Elsevier BV
Published
2019-06
Volume
82
Pages
13-25
ISSN
0346-251X (ISSN-L)
DOI
10.1016/j.system.2019.02.017
OpenAlex
W2919664096
Cited by
517
References
56
FWCI
184.00
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
Renmin University of China

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.