DEVELOPING ELT IN THE AGE OF AI: COMMUNICATIVE METHODS AND APPLICATIONS
Keywords:
Personalized Learning Paths, Natural Language Processing, Gamification, Virtual Reality, Adaptive Assessment Tools, AI-driven Content Generation, and Conversational AI, enhancing language competence through interactive, immersive, and adaptive methodsAbstract
The purpose of this paper is to examine how Artificial Intelligence (AI) can transform the pedagogical landscape for English language learning, by providing unprecedented levels of customization, interaction, and immersion. A new paradigm in language education has been introduced through the use of machine learning and natural language processing that emphasizes the individual need of each learner, real-time feedback, and engaging, context-rich learning environments. It is also important to note that the integration of gamification and virtual reality with AI technologies represents an extremely promising methodology for increasing motivation and facilitating the practical application of language skills in simulated real-world conditions. As part of the study, it is also examined to what extent adaptive assessment tools powered by artificial intelligence can provide more accurate and personalized evaluations of language proficiency. This paper presents a comprehensive review of current technologies and methodologies to demonstrate how AI-enhanced learning environments can not only improve language acquisition outcomes but also reinvent traditional approaches to language instruction.
References
Ally, M. ed., 2009. Mobile learning: Transforming the delivery of education and training. Athabasca University Press. p. 102
Baker, R.S., 2016. Stupid tutoring systems, intelligent humans. International Journal of Artificial Intelligence in Education, 26, pp.600-614.
Cornillie, F., Thorne, S.L. and Desmet, P., 2012. ReCALL special issue: Digital games for language learning: challenges and opportunities: Editorial Digital games for language learning: from hype to insight? ReCALL, 24(3), p.245.
Dikli, S., 2006. An overview of automated scoring of essays. The Journal of Technology, Learning and Assessment, 5(1).
Johnson, L., Becker, S.A., Cummins, M., Estrada, V., Freeman, A. and Hall, C., 2016. NMC horizon report: 2016 higher education edition (pp. 1-50). The New Media Consortium.
Xie, H., Chu, H.C., Hwang, G.J. and Wang, C.C., 2019. Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers & Education, 140, p.103599.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Shohruza Abdurazakova (Author)
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.