Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.

This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. Employing the mixed methods research design, the researchers collected data from...

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Main Authors: Mohd Nazim, Ali Abbas Falah Alzubi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0326735
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author Mohd Nazim
Ali Abbas Falah Alzubi
author_facet Mohd Nazim
Ali Abbas Falah Alzubi
author_sort Mohd Nazim
collection DOAJ
description This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. Employing the mixed methods research design, the researchers collected data from male and female teachers (N = 278) of eight public universities, utilizing convenience sampling and a set of instruments: a questionnaire and a semi-structured interview. The data analysis combined quantitative and qualitative methods, using SPSS version 26 for statistical analysis (Pearson correlation, Cronbach's alpha, means, standard deviations), and thematic analysis for qualitative data, with data triangulation employed to compare questionnaire and interview responses for a comprehensive understanding of EFL teachers' engagement with generative AI. The results revealed that the study sample engaged in self-professionalism at a medium level, yet they hold high attitudes toward generative AI-mediated self-professionalism. In addition, the content analysis exhibited several constraints, including technological competence and AI literacy, AI-generated content reliability and accuracy, ethical issues, and encroachment on professional autonomy. Moreover, the respondents proposed solutions such as offering AI-driven training programs, establishing clear ethical guidelines and protocols, emphasizing AI as a supplementary tool rather than a substitute, and implementing impartial access mechanisms for AI content to strengthen EFL teachers' self-professionalism mediated by generative AI. Studies in the context of generative AI-driven self-professionalism appear limited, particularly in the context of Arab higher education institutions. This dearth of research presents an opportunity for the current study to make significant improvements in contributing innovative insights to the EFL teachers' self-professionalism landscape.
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spelling doaj-art-917f3ca79ce949378d8a22de53bf9a022025-08-20T02:35:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01206e032673510.1371/journal.pone.0326735Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.Mohd NazimAli Abbas Falah AlzubiThis study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-professionalism in engagement, attitudes, constraints, and solutions. Employing the mixed methods research design, the researchers collected data from male and female teachers (N = 278) of eight public universities, utilizing convenience sampling and a set of instruments: a questionnaire and a semi-structured interview. The data analysis combined quantitative and qualitative methods, using SPSS version 26 for statistical analysis (Pearson correlation, Cronbach's alpha, means, standard deviations), and thematic analysis for qualitative data, with data triangulation employed to compare questionnaire and interview responses for a comprehensive understanding of EFL teachers' engagement with generative AI. The results revealed that the study sample engaged in self-professionalism at a medium level, yet they hold high attitudes toward generative AI-mediated self-professionalism. In addition, the content analysis exhibited several constraints, including technological competence and AI literacy, AI-generated content reliability and accuracy, ethical issues, and encroachment on professional autonomy. Moreover, the respondents proposed solutions such as offering AI-driven training programs, establishing clear ethical guidelines and protocols, emphasizing AI as a supplementary tool rather than a substitute, and implementing impartial access mechanisms for AI content to strengthen EFL teachers' self-professionalism mediated by generative AI. Studies in the context of generative AI-driven self-professionalism appear limited, particularly in the context of Arab higher education institutions. This dearth of research presents an opportunity for the current study to make significant improvements in contributing innovative insights to the EFL teachers' self-professionalism landscape.https://doi.org/10.1371/journal.pone.0326735
spellingShingle Mohd Nazim
Ali Abbas Falah Alzubi
Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
PLoS ONE
title Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
title_full Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
title_fullStr Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
title_full_unstemmed Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
title_short Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.
title_sort empowering efl teachers perceptions of generative ai mediated self professionalism
url https://doi.org/10.1371/journal.pone.0326735
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