ARTIFICIAL INTELLIGENCE IN ESL TEACHING: OPPORTUNITIES AND CHALLENGES
Keywords:
labor-intensive, algorithmic bias, human interaction, automated feedback, digital divide.Abstract
This article analyzes the diverse effects of Artificial Intelligence (AI) on English as a Second Language (ESL) education. It investigates the benefits offered by AI-driven tools, like customized learning platforms, automated feedback systems, and smart tutoring, in boosting student involvement and speeding up language learning. Nevertheless, the article also highlights the difficulties linked to AI adoption, including worries regarding data security, algorithmic bias, the risk of diminishing educators' skills, and the digital divide. By examining existing research and teaching implications, this article delivers a well-rounded evaluation of the transformative capabilities and possible challenges of AI in ESL, presenting suggestions for responsible and effective execution.
References
Burstein, J., Chodorow, M., & Lager, L. (2003). Automated essay evaluation: The criterion online writing service. AI Magazine, 24(3), 27-36.
Hwang, G. J., Sung, H. Y., Hung, C. M., Huang, S. C., & Tsai, C. C. (2015). A context-aware ubiquitous learning approach to improving students' learning performance in science courses. Computers & Education, 87, 43-56.
Lan, Y. J., Hsu, C. L., Hung, H. C., & Chang, K. E. (2020). Application of virtual reality and augmented reality technologies for language learning. Journal of Educational Technology & Society, 23(4), 304-321.
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.
O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.
Stockwell, G. (2010). Why mobile literacy is the next step for mobile assisted language learning. The International Journal of Literacy, Culture, and Language Education, 1(1), 1-13.