The Interplay between L2 Motivation and Artificial Intelligence: What and How

This study aims to investigate the factors affecting EFL learners' L2 motivation when learning with artificial intelligence (AI) and how those factors could affect L2 motivation. Equipped with Self Determination Theory (SDT), this study looked at two EFL classrooms in a university in Indonesia where AI apps were utilized. Two teachers and 21 learners participated, and the data were collected qualitatively using app evaluation, interviews, and FGDs. This study found that localization, valuableness, and engagingness were three factors of AI-injected language learning that greatly influenced the learners' L2 motivation. This study also found that localization could be approached using pedagogical views, while valuableness and engagingness could be viewed from psychological perspectives. This study offers a new construct in L2 motivation studies called the L-VE framework. The results of this study could contribute new insights into the discussion of L2 motivation and technology, particularly in the field of Computer-Assisted Language Learning (CALL).

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Publication Details

Journal
Computer-Assisted Language Learning Electronic Journal
Published
2025-05-29
DOI
https://doi.org/10.54855/callej.252636
Citations
1
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
10.42
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article

The Interplay between L2 Motivation and Artificial Intelligence: What and How

Dian Toar Y. G. Sumakul
1 citations
Computer-Assisted Language Learning Electronic Journal
EFL/ESL Teaching and Learning
10.42
article

The Interplay between L2 Motivation and Artificial Intelligence: What and How

Dian Toar Y. G. Sumakul
article en
1 citations

Abstract

This study aims to investigate the factors affecting EFL learners' L2 motivation when learning with artificial intelligence (AI) and how those factors could affect L2 motivation. Equipped with Self Determination Theory (SDT), this study looked at two EFL classrooms in a university in Indonesia where AI apps were utilized. Two teachers and 21 learners participated, and the data were collected qualitatively using app evaluation, interviews, and FGDs. This study found that localization, valuableness, and engagingness were three factors of AI-injected language learning that greatly influenced the learners' L2 motivation. This study also found that localization could be approached using pedagogical views, while valuableness and engagingness could be viewed from psychological perspectives. This study offers a new construct in L2 motivation studies called the L-VE framework. The results of this study could contribute new insights into the discussion of L2 motivation and technology, particularly in the field of Computer-Assisted Language Learning (CALL).

Computer-Assisted Language Learning Electronic JournalVol. 26(3)
Satya Wacana Christian University (ID)
Openalex Percentile: Top 4%
EFL/ESL Teaching and Learning
10.42
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The Interplay between L2 Motivation and Artificial Intelligence: What and How — Dian Toar Y. G. Sumakul · Computer-Assisted Language Learning Electronic Journal (2025) | TGRS Research Map | TGRS