چکیده مقاله
The advent of large language models LLMs has revolutionized the fields of natural language processing NLP and artificial intelligence AI , with significant implications for language learning and assessment This paper explores the deployment of LLMs in the educational technology sector, particularly focusing on their application in language learning contexts We examine how LLMs, such as Open AI’s GPT 4 and other alternatives, can be harnessed for content creation, automated assessment, and personalized feedback, thereby offering innovative solutions to enhance language education Furthermore, we discuss the potential societal and ethical implications surrounding the use of LLMs, including biases, data privacy concerns, and the risk of oversimplifying educational challenges By analyzing current applications and identifying future directions for research and development, this paper contributes to a nuanced understanding of how LLMs can transform language learning while ensuring ethical considerations are prioritized in their implementation
کلیدواژهها
نویسندگان
Moharram Sharifi
Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
شیوه ارجاع
Sharifi, Moharram,1404,The Use of Large Language Models in Language Learning and Assessment,23th International Conference on Language , Literature , Culture and History Studies,Tehran
ارائهشده در
مجموعه مقالات بیست و سومین کنفرانس بین المللی زبان، ادبیات، فرهنگ و تاریخ30 آبان 1404 · تهران