20–22 Nov 2026
The WINC Aichi
Asia/Tokyo timezone

Machine Translation and Learner Psychology

22 Nov 2026, 13:45
30m
The WINC Aichi

The WINC Aichi

Research-oriented Presentation (30-minutes) CALL: Computer Assisted Language Learning Room 1204

Speaker

Simon Cooke (Tohoku Institute of Technology)

Description

This presentation reports findings from two classroom-based studies examining how machine translation (MT) influences learner psychology. Using Self-Determination Theory as a framework, the studies explored effects on enjoyment, anxiety, and motivation among first-year Japanese university students. While MT supported communication and competence, qualitative findings suggest potential tensions with autonomy. Pedagogical implications for integrating MT in ways that support learner development will be discussed.

Abstract section 2: Contribution/research questions

This presentation reports findings from two exploratory studies examining how MT use relates to learner affect and motivation in a university EFL context. The research addressed two questions: (1) How does MT use influence learner enjoyment and anxiety? and (2) How does MT use relate to motivational development, including attitudes, Ideal L2 Self, and intended effort? The study contributes to growing CALL research by examining MT through a psychological, rather than purely linguistic, perspective.

Abstract section 3: Content/method

Both studies employed a mixed-methods design with first-year Japanese university students over a 14-week course. Quantitative data were collected using pre- and post-intervention questionnaires measuring Foreign Language Enjoyment, Anxiety, and motivational variables. Qualitative data were obtained through open-ended student reflections. One group engaged in MT-supported classroom activities, while a comparison group completed similar tasks without MT. Self-Determination Theory was used as a theoretical lens to interpret psychological outcomes.

Abstract section 4: Outcomes/results

Statistical analyses revealed few significant differences between groups. However, qualitative findings provided insight into learners’ psychological experiences. MT supported competence by enabling successful communication and reducing anxiety associated with linguistic limitations. At the same time, some learners expressed concerns about dependency, suggesting potential tension with autonomy and future-oriented motivation. MT also appeared to support relatedness by facilitating classroom interaction. These findings suggest that MT functions not only as a linguistic support tool, but also as a psychologically consequential resource. Implications for integrating MT in ways that support learner autonomy and motivation will be discussed.

Abstract section 5: References

Alharbi , W. (2023). The use and abuse of artificial intelligence-enabled machine translation in the EFL classroom: An exploratory study. Journal of Education and E-Learning Research, 10(4), 689–701. https://doi.org/10.20448/jeelr.v10i4.5091

Deci, E. L., & Ryan, R. M. (2000). The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01

Dörnyei, Z. (2009). The L2 motivational self system. In Z. Dörnyei & E. Ushioda (Eds.), Motivation, Language Identity and the L2 Self (pp. 9-42). Bristol: Multilingual Matters.

Dewaele, J.-M., & MacIntyre, P.D. (2014). The two faces of Janus? Anxiety and enjoyment in the foreign language classroom. Studies in Second Language Learning Teaching, 4, 237-274.

Abstract section 1: Relevance

Machine translation (MT) is now widely accessible to language learners through smartphones, yet its psychological impact remains underexplored. While previous research has focused primarily on linguistic accuracy and performance outcomes, less attention has been given to how MT influences learner affect and motivation. Self-Determination Theory (Deci & Ryan, 2000) provides a useful framework for examining how technology use relates to learners’ basic psychological needs for autonomy, competence, and relatedness. Understanding these psychological dynamics is essential for educators seeking to integrate MT in ways that support both language development and learner motivation.

Title Machine Translation and Learner Psychology
Teaching Context College and university education

Author

Simon Cooke (Tohoku Institute of Technology)

Presentation materials

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