How lecturers in foreign languages can utilize the innovativeness of AI models to improve students’ performance through personalized assessment and customized learning systems
Main Article Content
Abstract
Various artificial intelligence models have found their way into various aspects of life as a whole. It is worthy to note that various scholars have studied the impacts of AI- models in different aspects of life, making foreign language education a constant area of research for scholars. This study focused on the ways foreign language lecturers can take advantage of these innovations that come with AI models to improve students’ performance through personalised assessment and customised learning systems. Furthermore, explorations were made to determine how AI models facilitate the efficient performance of foreign language students through personalised assessment and customised learning systems. In order to achieve this, this study engaged selected group of participants, which is made up of 230 undergraduate foreign language students from different universities in different locations, as well as 23 lecturers also from different locations. We randomly selected these 253 participants to ensure the authenticity of the study’s information and its practical application in various locations. The study utilized an online questionnaire in the form of Google Forms to collect responses from the participants. The data was collated in order to make the required inferences using the required measures for statistical analysis. The responses recorded by this study showed the acceptance and utilisation of AI models by both students and lecturers, as the majority of these respondents affirmed the claims made by this study. The results obtained demonstrate high levels of impact of AI models in foreign language education as well as ways lecturers can utilise these features and innovations to improve students’ performance. After the analysis and discussion, insights gotten from this study stand to encourage the proper implementation of AI models in foreign language education, as the advantages submitted in this study are worth exploration.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
References
Adams, J., Roberts, A., Obermaier, L., Ravuri, B., & Moja, O. (2023, July). Uses of
Artificial Intelligence in Higher Education. In EdMedia+ Innovate Learning (pp. 1181- 1186). Association for the Advancement of Computing in Education (AACE). Aihua, Z. (2021, March). New ecology of AI-assisted language education. In Journal of
Physics: Conference Series (Vol. 1861, No. 1, p. 012040). IOP Publishing. Alemi, M. (2016). General impacts of integrating advanced and modern technologies on
teaching English as a foreign language. International Journal on Integrating Technology
in Education, 5(1), 13-26. Ali, M., & Abdel-Haq, M. K. (2021). Bibliographical analysis of artificial intelligence
learning in Higher Education: is the role of the human educator and educated a thing of
the past?. In Fostering communication and learning with underutilized technologies in
higher education (pp. 36-52). IGI Global. Aljohani, M. (2017). Principles of “constructivism” in foreign language teaching. Journal
of Literature and Art Studies, 7(1), 97-107. Alrabai, F. (2014). Motivational Practices in English as a Foreign Language Classes in
Saudi Arabia: Teachers Beliefs and Learners Perceptions. Arab world English journal, 5(1). AlShaikh, R., Al-Malki, N., & Almasre, M. (2024). The implementation of the cognitive
theory of multimedia learning in the design and evaluation of an AI educational video
assistant utilizing large language models. Heliyon, 10(3). Anjomshoa, L., & Sadighi, F. (2015). The importance of motivation in second language
acquisition. International Journal on Studies in English Language and Literature
(IJSELL), 3(2), 126-137.
Baskara, F. R. (2023). AI-Driven Dynamics: ChatGPT Transforming ELT Teacher- Student Interactions. Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya, 13(2), 261-275. Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2023). Artificial intelligence (AI)
student assistants in the classroom: Designing chatbots to support student success.
Information Systems Frontiers, 25(1), 161-182. Devasena, R. (2024). Artificial Intelligence in Education: An Alternative to Traditional
Learning. Journal of English Language Teaching, 66(1), 13-21. Dewaele, J. M., Saito, K., & Halimi, F. (2022). How teacher behaviour shapes foreign
language learners’ enjoyment, anxiety and attitudes/motivation: A mixed modelling
longitudinal investigation. Language Teaching Research, 13621688221089601. Embarak, O. H. (2022). Internet of Behaviour (IoB)-based AI models for personalized
smart education systems. Procedia Computer Science, 203, 103-110. Fatiha, M., Sliman, B., Mustapha, B., & Yahia, M. (2014). Attitudes and motivations in
learning English as a foreign language. International Journal of Arts & Sciences, 7(3), 117-128. Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2014). Technologies for foreign language learning: A review of technology types and their
effectiveness. Computer assisted language learning, 27(1), 70-105. Gordon, M. (2009). The misuses and effective uses of constructivist teaching. Teachers
and Teaching: theory and practice, 15(6), 737-746. Hausfather, S. (2001). Where's the content? The role of content in constructivist teacher
education. Educational Horizons, 80(1), 15-19. Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the
opportunities through ChatGPT Tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. Jones, M. G., & Brader-Araje, L. (2002). The impact of constructivism on education:
Language, discourse, and meaning. American Communication Journal, 5(3), 1-10. Krahenbuhl, K. S. (2016). Student-centered education and constructivism: Challenges, concerns, and clarity for teachers. The Clearing House: A Journal of Educational
Strategies, Issues and Ideas, 89(3), 97-105. Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., &
Gerardou, F. S. (2023). Challenges and opportunities of generative AI for higher
education as explained by ChatGPT. Education Sciences, 13(9), 856. Nkambou, R., Mizoguchi, R., & Bourdeau, J. (Eds.). (2010). Advances in intelligent
tutoring systems (Vol. 308). Springer Science & Business Media.
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered
technologies in foreign language education. Journal of Language and Cultural
Education, 7(3), 135-153. Psotka, J., Massey, L. D., & Mutter, S. A. (Eds.). (1988). Intelligent tutoring systems:
Lessons learned. Psychology Press. Shi, L., Muhammad Umer, A., & Shi, Y. (2023). Utilizing AI models to optimize blended
teaching effectiveness in college-level English education. Cogent Education, 10(2), 2282804. Suhendi, A. (2018). Constructivist learning theory: The contribution to foreign language
learning and teaching. KnE Social Sciences, 87-95. Van der Vorst, T., & Jelicic, N. (2019). Artificial Intelligence in Education: Can AI bring
the full potential of personalized learning to education?
Vashishth, T. K., Sharma, V., Sharma, K. K., Kumar, B., Panwar, R., & Chaudhary, S. (2024). AI-Driven Learning Analytics for Personalized Feedback and Assessment in
Higher Education. In Using Traditional Design Methods to Enhance AI-Driven Decision
Making (pp. 206-230). IGI Global. Wu, X. (2021, April). Application of artificial intelligence in higher vocational English
teaching mode. In Journal of Physics: Conference Series (Vol. 1852, No. 2, p. 022089).
IOP Publishing. Yuan, X. (2021, April). Retracted: Design of college English teaching information
platform based on artificial intelligence technology. In Journal of Physics: Conference
Series (Vol. 1852, No. 2, p. 022031). IOP Publishing. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18.