Using Alexa in technology-supported taskbased learning to mediate EFL texts: a pilot study

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Published

2025-04-11

Section: Regular Articles


Received: 27 September, 2024
Accepted: 14 March, 2025

Authors

  • Klaudia Gajewska Email ORCiD Maria Curie-Sklodowska University in Lublin, Poland
DOI: https://doi.org/10.29140/jaltcall.v21n1.2149

Abstract

Given the novelty value of human-machine communication (HMC) in task-based language learning (TBLL), we conducted a multimethodological pilot study to explore the use of Alexa in out-of-class task-based learning to mediate texts in English as a foreign language. Fourteen Polish intermediate learners participated in the quasi-experiment and programme evaluation. The treatment was investigated with reference to its impact on the participants’ mediating skill, their self-perceived acceptance of the technology, and the HMC process. Even though the statistical analysis of the pre- and post-tests revealed that the intervention had no effect on the students’ ability to mediate texts, the findings from quantitative and qualitative analyses of the learners' logs, the Alexa app, post-study questionnaires, and interviews were positive. Despite HMC breakdowns, the learners kept interacting with the technology by producing modified output through rephrasing and had very high opinions of the use of the tool in learning to mediate. The results enhance the understanding of the new phenomenon of voice assistance in CALL and its application in TBLL; however, longer-term research on the implementation of Alexa (and the like) is required in view of the limitations of the current research related to the short duration of the treatment and small sample size.


Keywords: Alexa, voice assistant, human-machine communication, mediation, task-based language learning

Suggested Citation:

Gajewska, K. (2025). Using Alexa in technology-supported taskbased learning to mediate EFL texts: a pilot study. The JALT CALL Journal, 21(1), 2149. https://doi.org/10.29140/jaltcall.v21n1.2149

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