Utilizing Artificial Intelligence Technologies in Saudi EFL Tertiary Level Classrooms

Mohammed AbdAlgane (1), Khalid Abdurrahman Jabir Othman (2)
(1) Department of English & Translation, College of Science and Arts, Ar Rass, Qassim University, Saudi Arabia, Saudi Arabia,
(2) Department of English & Translation, College of Science and Arts, Ar Rass, Qassim University, Saudi Arabia, Saudi Arabia


This study focuses on the employment of AI technology in regular, day-to-day activities, such as when Google Translate or Bing Translator are encouraged alongside various programs and applications. It also evaluates and empirically demonstrates the subjects of writing with AI technologies, computer-assisted language learning (CALL), machine translation (MT), and automatic evaluation systems (AESs) in order to offer solutions for enhanced communication training in Saudi Arabia's EFL system. Word tune is an artificial intelligence (AI)-driven writing assistant that can understand the writer's ideas and suggest alternative rewrites (e.g., shorten, expand). This program assists writers of English as a foreign language to maintain a steady flow and acquire useful English expressions. This research made use of questionnaires as a method for collecting data and then ran those responses through SPSS for analysis. The use of artificial intelligence (AI) technology in English as a foreign language (EFL) settings has been shown to facilitate the English language learning (ELT) process and to keep both teachers and students up to date on recent technological developments. This exploratory investigation demonstrated that all digital and AI-powered devices have the potential to assist in teaching and learning. Consequently, the pedagogical component of future education can be developed using an AI framework.

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Mohammed AbdAlgane
Mo.mohammed@qu.edu.sa (Primary Contact)
Khalid Abdurrahman Jabir Othman
Author Biographies

Mohammed AbdAlgane, Department of English & Translation, College of Science and Arts, Ar Rass, Qassim University, Saudi Arabia

Dr. Mohammed AbdAlgane is an associate professor of Applied Linguistics and has been awarded an MA in ELT and a PhD in Applied Linguistics from the University of Gezira, Sudan. He has been teaching English at the tertiary level in Sudan and Saudi Arabia since 2006. He taught the four skills, Linguistics, Phonetics & Phonology, Morphology, etc. His research interests are EFL speech production and perception, vocabulary teaching, reading, readability, Phonetics, Phonology and teacher education, teaching methodologies, education technology, etc.

Khalid Abdurrahman Jabir Othman, Department of English & Translation, College of Science and Arts, Ar Rass, Qassim University, Saudi Arabia

Dr. Khalid Othman is an assistant professor of Computer Assisted Language Learning and has been awarded an MA in ELT and a Ph.D. in Computer Assisted Language Learning from the University of Gezira, Sudan. He has been teaching English at the University level in Sudan as well as Saudi Arabia since 2003. He taught, Computer Assisted Language Learning, Computer Assisted Language Teaching, Machine Translation, & Applied Linguistics. His research interests are Computer Assisted Language Learning, Machine Translation, Artificial Intelligence in EFL, Natural Language Processing, etc

AbdAlgane, M., & Othman, K. A. J. (2023). Utilizing Artificial Intelligence Technologies in Saudi EFL Tertiary Level Classrooms. Journal of Intercultural Communication, 23(1), 92–99. https://doi.org/10.36923/jicc.v23i1.124

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