Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

Frontiers in Psychology, Год журнала: 2023, Номер 14

Опубликована: Ноя. 6, 2023

This mixed methods study examines the effects of AI-mediated language instruction on English learning achievement, L2 motivation, and self-regulated among as a Foreign Language (EFL) learners. It addresses increasing interest in AI-driven educational technologies their potential to revolutionize instruction.Two intact classes, consisting total 60 university students, participated this study. The experimental group received instruction, while control traditional instruction. Pre-tests post-tests were administered evaluate achievement across various domains, including grammar, vocabulary, reading comprehension, writing skills. Additionally, self-report questionnaires employed assess motivation learning.Quantitative analysis revealed that achieved significantly higher outcomes all assessed areas compared group. Furthermore, they exhibited greater more extensive utilization strategies. These results suggest positively impacts learning.Qualitative semi-structured interviews with 14 students from shed light transformative AI platform. was found enhance engagement offer personalized experiences, ultimately boosting fostering learning. findings emphasize improve outcomes, motivate learners, promote autonomy.This contributes evidence-based pedagogy, offering valuable insights educators researchers interested incorporating AI-powered platforms into classrooms. support notion holds promise revolutionizing learning, it highlights positive impact realm education.

Язык: Английский

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Under the world of AI-generated feedback on writing: mirroring motivation, foreign language peace of mind, trait emotional intelligence, and writing development

Language Testing in Asia, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 27, 2025

Язык: Английский

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EFL students’ perceptions about the role of generative artificial intelligence (GAI)-mediated instruction in their emotional engagement and goal orientation: A motivational climate theory (MCT) perspective in focus

Learning and Motivation, Год журнала: 2025, Номер 90, С. 102114 - 102114

Опубликована: Фев. 27, 2025

Язык: Английский

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Examining the effect of the integration of multiple MALL applications on EFL students’ academic vocabulary acquisition: a mixed-methods study

Cogent Education, Год журнала: 2025, Номер 12(1)

Опубликована: Март 10, 2025

Язык: Английский

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Which one? AI-assisted language assessment or paper format: an exploration of the impacts on foreign language anxiety, learning attitudes, motivation, and writing performance

Language Testing in Asia, Год журнала: 2024, Номер 14(1)

Опубликована: Окт. 18, 2024

In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in programs. This study investigated the impact of AI-assisted assessment on L2 learners' foreign anxiety (FLA), attitudes, motivation, and writing skills. The adopted a sequential exploratory mixed-methods design. Divided between an experimental group (receiving assessment) control paper-format assessment), participants were 70 intermediate English learners from two intact university classes Bangladesh. TOEFL iBT section measured skills, while also perceptions experiences FLA, motivation using narrative frames. Thematic analysis data showed that greatly raised improved attitudes about acquisition, lowered FLA. According quantitative analysis, pretest abilities across groups no appreciable variation. Even though difference was not statistically significant posttest, exceeded group. results this imply assessments can generate helpful learning environment, lower anxiety, improve increase thereby delivering useful information. Future studies should investigate long-term consequences, further improvements AI tools optimize educational advantages—attitudes,

Язык: Английский

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Application of Artificial Intelligence in Teaching English as a Foreign Language: Progress, Challenges, and Trends

English Language Teaching and Linguistics Studies, Год журнала: 2024, Номер 6(4), С. p215 - p215

Опубликована: Авг. 15, 2024

With the rapid development of artificial intelligence (AI) technology, its application in teaching English as a foreign language (EFL) is becoming increasingly widespread, profoundly affecting models and learning experiences. This paper reviews AI progress, challenges, future trends EFL instruction. It points out that technology supports effective instruction through personalized teaching, automated assessment feedback, active interactive experiences, data-driven analytics, intelligent agents/virtual assistants, humanoid robots. However, challenges such technological limitations, gaps acceptance capabilities, privacy protection ethical issues, unequal distribution instructional resources have also emerged. These require responses from educational administrative departments, schools, educators. In future, AI+EFL education will likely further promote innovation models, achieve more learner-centered paradigm, exert constructive influence, interdisciplinary integration collaboration, ensure improvement quality equity.

Язык: Английский

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Enhancement of EFL learners’ lexical retention: The role of social constructivism

Cogent Education, Год журнала: 2023, Номер 10(1)

Опубликована: Июнь 14, 2023

Vocabulary plays a significant role in the learning process of English as Foreign Language (EFL) students, especially undergraduates who need to read academic materials and listen specialized lectures English. However, retaining lexical items is still challenging task for many EFL learners. The current study seeks examine effectiveness constructivist approach improving learners' vocabulary retention, mainly meaning recall, well investigate their attitude towards this method. To achieve aim, quasi-experimental design, including pretest posttest, was employed with participation 75 Vietnamese undergraduates. participants were assigned into two groups: control group (Group 1, N = 37) experimental 2, 38). While Group 1 taught conventional way, 2 received training following approach. At end eight-week treatment, questionnaire administered gauge view on using constructivism. results showed that retained more effectively than 1. Furthermore, had favorable opinion Recommendations future studies implications teachers regarding constructivism, presented detail.

Язык: Английский

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Pattern Recognition of EFL University Students’ Online Behaviors through Data Science: Any Investment on English Language Components or Skills?

Indonesian Journal of EFL and Linguistics, Год журнала: 2024, Номер unknown, С. 99 - 113

Опубликована: Март 29, 2024

Artificial intelligence (AI) has played a crucial role in many fields of study, and its merits demerits have been investigated by related scholars. However, it seems somewhat gray area when implementing AI teaching learning. This could be mainly because developers know little about learning varied sciences they also lack pedagogical knowledge for (Luckin & Cukurova, 2019). Therefore, the current research aimed at gathering data regarding online behaviors 21 Iranian EFL university students through installing an application on their mobile phones period eight days. Afterwards, collected were analyzed Data Science methods patterns behavior recognized. The results exhibited that messaging social media applications are two great parts students’ life. Also, there existed some common owned amount time spent them. As small case point, study cannot generalized; however, outcomes highlight proof context, serious steps need to adopted course designers stakeholders order cultivate greater purposeful use applications, websites etc. among so as enhance teaching-learning process. gains prominence any AI-mediated approach is believed second/foreign language motivation well self-regulation actually promising revolution realm education.

Язык: Английский

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High-Frequency Vocabulary: Moving From Recognition to Recall Level on Quizlet

SAGE Open, Год журнала: 2024, Номер 14(2)

Опубликована: Апрель 1, 2024

This study expands arguments calling for a more rigorous approach to high-frequency vocabulary list-based learning in EFL environments. Test and flashcard item designs were validated through quantitative (midterm final test) qualitative (survey) results explore the impact of digital flashcards designed build recall-level comprehension on both timed gap-fill traditional multiple-choice posttests. Quizlet was chosen as platform due affordance it provides teachers create content monitor practice. The showed that multiple-choice, recognition-level test items result 20% overestimation knowledge relative Additionally, post-semester survey 138 Japanese, pre-intermediate students English highly positive response recall-focused practice testing system. demonstrate L2 vocabulary, paradigm shift from form-meaning recognition recall is an important direction instruction testing.

Язык: Английский

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The Evolution of Artificial Intelligence in Teaching and Learning of English Language in Higher Education: Challenges, Risks, and Ethical Considerations

Emerald Publishing Limited eBooks, Год журнала: 2024, Номер unknown, С. 249 - 276

Опубликована: Ноя. 13, 2024

Язык: Английский

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