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Related Experiment Videos

Exploring Chinese college EFL learners' AI technology acceptance driven by computer self-efficacy.

Yi Xu1, Bin Cui2

  • 1Basic Teaching Department(English Branch), Jianghai Polytechnic College, Yangzhou, Jiangsu, China.

Acta Psychologica
|February 17, 2026
PubMed
Summary

Computer self-efficacy significantly boosts AI adoption among Chinese college English as a Foreign Language (EFL) learners. This factor, along with perceived ease of use and usefulness, drives their intention to use AI technologies.

Keywords:
AI technology acceptanceComputer self-efficacyEFL

Related Experiment Videos

Area of Science:

  • Educational Technology
  • Artificial Intelligence in Education
  • Human-Computer Interaction

Background:

  • Quantitative research on computer self-efficacy in AI usage is limited.
  • Understanding factors influencing AI acceptance among EFL learners is crucial for effective technology integration.
  • The Technology Acceptance Model (TAM) provides a framework for studying technology adoption.

Purpose of the Study:

  • To investigate the influence of computer self-efficacy on Chinese college EFL learners' acceptance of AI technologies.
  • To examine the mediating roles of perceived ease of use, perceived usefulness, and attitude in this relationship.
  • To provide empirical evidence for enhancing AI technology application in EFL education.

Main Methods:

  • An extended Technology Acceptance Model (TAM) was employed.
  • Data collected from 776 Chinese college EFL learners via an online questionnaire.
  • Structural Equation Modeling (SEM) used for data analysis.

Main Results:

  • Computer self-efficacy positively influences behavioral intention to use AI.
  • Perceived ease of use, perceived usefulness, and attitude mediate the link between computer self-efficacy and AI usage intention.
  • The proposed TAM model demonstrated significant relationships among the variables.

Conclusions:

  • Computer self-efficacy is a key determinant of AI acceptance in Chinese EFL learners.
  • Interventions aimed at enhancing perceived ease of use, usefulness, and positive attitudes can foster AI adoption.
  • Findings offer practical insights for educators and policymakers promoting AI in EFL contexts.