Unraveling EFL students’ technology self-efficacy, emotions and behavioral intentions in leveraging large language models: the serial mediation of perceptions and attitudes

Zhaoyang Shan, Manman Shan, Lanyun Ding, Yonggang Su · 2026

Read Unraveling EFL students’ technology self-efficacy, emotions and behavioral intentions in leveraging large language models: the serial mediation of perceptions and attitudes by Zhaoyang Shan, Manman Shan, Lanyun Ding, Yonggang Su (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13393890.txt.

Description

Zhaoyang Shan and colleagues model how English learners' confidence and feelings shape their intent to use large language models in a 2026 study. AI tools promise much for foreign language learning, but the path from self-efficacy and emotion to actual use was underexplored.

Guided by the Technology Acceptance Model, the team surveyed 677 Chinese university students learning English and tested serial mediation with structural equation modeling. Technology self-efficacy raised enjoyment and lowered anxiety, feeding perceptions of ease and usefulness and then attitudes. Teachers gain a model for introducing AI tools in ways students will actually adopt.

Catalog record

CREATORZhaoyang Shan, Manman Shan, Lanyun Ding, Yonggang Su
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE63 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13393890

Browse the full library · About the Tower of Babel