Investigating Algerian EFL Teachers' Attitudes Towards AI Utilization in Language Education
DOI:
https://doi.org/10.70091/atras/AI.8Keywords:
Algerian EFL teachers, artificial intelligence, attitudes, education, English language learningAbstract
Artificial Intelligence is changing the landscape of education significantly, and therefore, language teaching and learning. Its incorporation in the latter is manifested through the use of various artificial intelligence-based platforms, applications, and chatbots such as Chatgpt. These tools and artificial intelligence-based platforms are not used solely for teaching and learning but for teachers' training and enhancing professional development, including Edthena, Cogni, TeachMate AI, Teach Boost, and Classcraft. Relatively, the use of these AI tools offers multiple features such as speech recognition, image, media, and content production, creating personalised learning opportunities, facilitating communication, and saving time and energy. Accordingly, teachers' attitudes toward the use of artificial intelligence tools in language teaching and learning vary due to various reasons. Therefore, this paper seeks to explore teachers' attitudes towards the use of artificial intelligence tools in language teaching and learning. Furthermore, it aims to highlight the impact of using artificial intelligence on language teaching and learning. The research follows a quantitative methodology through the use of an online semi-structured questionnaire for data collection, consisting of open-ended and close-ended questions. The latter was distributed to 200 Algerian EFL teachers. The results reveal that teachers have a positive attitude toward the use of artificial intelligence. However, teachers point out the possible issues that may arise from the use of AI in education, such as the change in teachers' roles.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 ATRAS journal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Licensing Framework
ATRAS utilizes the Creative Commons Attribution-NoCommercial 4.0 International License, which permits others to remix, tweak, and build upon the work non-commercially, as long as the original work is properly cited. All the journal’s content is under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4-0).
Importantly, the intellectual property rights of the submitted papers remain with the contributors. ATRAS, published by Saida University, Dr Moulay Tahar, Algeria, does not collaborate with any private publishing companies to promote its publications. This policy is in place to prevent deceptive publishing practices. Furthermore, ATRAS strictly prohibits the commercial use or marketing of its published material.
Authors retain the right to reproduce and distribute their articles in any format, without prior authorization, with the proper acknowledgement of the first publication.
Authors are encouraged to self-archive their articles online (in institutional repositories, personal websites, etc.). Any such posting must include an appropriate citation and a link to the journal’s website.
Copyright Holder
Researchers who publish their manuscripts in ATRAS agree to the following:
Copyright and Licensing:
Author (s) retain unrestricted copyrights and publishing rights of their works, which are made available under the Creative Commons Attribution-NonCommercial CC BY-NC 4.0 (CC BY-NC 4.0), permitting others to:
SHARE: Copy and redistribute the materials in any format and medium.
ADAPT: Remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as he follows the license terms, which are:
ATTRIBUTION: Proper credit must be given, with a link to the license, and any modifications noted. This should not imply endorsement by the licensor.
NONCOMMERCIAL: The material cannot be used for commercial purposes.
Additional Agreements: Researchers can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published versions of the work (e.g., post it in an institutional repository or publish it in a book) with acknowledgement of its initial publication in ATRAS.
Online Sharing: Authors are permitted and encouraged to share their works online (e.g., in institutional repositories or on their websites) prior to and during the submission process, promoting productive exchanges and increasing citations.
