Investigating the Benefits and Drawbacks of Selected AI-Powered Instruments Employed for Foreign Language Education


  • Dr. Turky Alshaikhi Associate Professor of English Language & Translation, University of Tabuk, College of Education & Arts, Institute of English Language Teaching
  • Dr. Mohamad Ahmad Saleem Khasawneh Assistant Professor, Special Education Department, King Khalid University, Saudi Arabia


Foreign language instructors now have even more opportunities to improve their job and help students perform better thanks to artificial intelligence engineers. The potential of synchronous communication platforms, evaluation methods, and artificial intelligence-based feedback mechanisms for teaching foreign languages is examined in this paper. With an evaluation of the opinions of language experts regarding the integration of AI into language learning, the article provides insight into how artificial intelligence-powered language learning tools can be used to enhance the acquisition of foreign languages and determine the limitations of artificial intelligence models in foreign language education. The study group consists of one hundred lecturers, one hundred postgraduate students, and one hundred artificial intelligence specialists working in the language education industry. A cross-sectional survey was used as the research design in this investigation. A variety of statistical approaches were applied to assess the data, which were collected using electronically distributed surveys. The findings indicate that more than 89% of respondents use the evaluation tools, compared to 68% and 46% who use the feedback and real-time communication systems, respectively. Results of the study also show that more than 68% of participants agreed that using a range of artificial intelligence (AI) methods in foreign language instruction facilitates and improves language learning. Additionally, sixty percent say that artificial intelligence (AI) systems in foreign language instruction are limited by a lack of contextual awareness. A further barrier, which is the addition of distant languages that are not included in the databases of the majority of AI models, is that insufficient language data to train the models, according to about 80.5% of survey respondents. The implication is that, despite AI's potential in teaching foreign languages, there are still a number of clear problems, for which traditional learning techniques may provide a workaround.




How to Cite

Dr. Turky Alshaikhi, & Dr. Mohamad Ahmad Saleem Khasawneh. (2024). Investigating the Benefits and Drawbacks of Selected AI-Powered Instruments Employed for Foreign Language Education. Kurdish Studies, 12(2), 2156–2169. Retrieved from