Exploring the relationships among large language model acceptance, enjoyment, anxiety, and self-efficacy in L2 academic writing

Fei Sun et al.

Acta Psychologica2026https://doi.org/10.1016/j.actpsy.2026.106237article
ABDC A
Weight
0.41

Abstract

Self-efficacy plays a central role in L2 academic writing. However, limited attention has been paid to how technology-related factors and emotions jointly shape learners' self-efficacy in L2 academic writing. Drawing on control-value theory and self-efficacy theory, this study investigates the relationships among large language model (LLM) acceptance, enjoyment, anxiety, and self-efficacy in L2 academic writing. A total of 643 Chinese EFL graduate students participated in the study, with data collected via an online questionnaire. Structural equation modelling was employed to examine hypothesized direct and indirect relationships. The results of the direct effects analysis showed that LLM acceptance positively predicted self-efficacy, enjoyment, and anxiety. Moreover, enjoyment positively predicted self-efficacy, whereas anxiety negatively predicted it. The results of the indirect effects analysis further revealed that enjoyment served as a complementary mediator, whereas anxiety acted as a competitive mediator in the link between LLM acceptance and self-efficacy. These findings highlight the dual emotional pathways through which LLM acceptance shapes self-efficacy and offer pedagogical insights into fostering students' self-efficacy in the L2 academic writing context.

2 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.actpsy.2026.106237

Or copy a formatted citation

@article{fei2026,
  title        = {{Exploring the relationships among large language model acceptance, enjoyment, anxiety, and self-efficacy in L2 academic writing}},
  author       = {Fei Sun et al.},
  journal      = {Acta Psychologica},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.actpsy.2026.106237},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Exploring the relationships among large language model acceptance, enjoyment, anxiety, and self-efficacy in L2 academic writing

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.