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April 15, 2026European Journal of Education

A Correlational Study of AI Usage, Motivation, Self‐Efficacy, and Learning Engagement in Education: Based on Expectancy‐Value Theory

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Authors

QCQi Chai

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Overview

Correlational study examines AI usage and its impact on motivation and engagement in EFL learners, suggesting important implications.

Key Points

  • This study investigates how AI usage interacts with motivation and self-efficacy to influence learning engagement and enjoyment in EFL contexts.
  • Correlational design involving 563 Chinese EFL learners
  • Data collected via validated questionnaires addressing AI usage, motivation, self-efficacy, engagement, and enjoyment
  • Correlation analyses to identify relationships among variables
  • Multiple regression and structural equation modeling (SEM) to assess predictive roles of variables
  • Significant positive associations found between AI usage, motivation, self-efficacy, and learning engagement
  • Motivation identified as the strongest predictor of engagement and enjoyment
  • AI usage and self-efficacy also contribute to engagement but to a lesser extent
  • Effective AI integration requires alignment with learners' motivational beliefs

Cite This Study

Qi Chai (2026) studied this question.

synapsesocial.com/papers/69df2c1de4eeef8a2a6b10fbhttps://doi.org/10.1111/ejed.70633
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