Research Article
Navigating the Complexities and Potentials of Language Learning Machines in EFL Contexts: A Multidimensional Analysis
@INPROCEEDINGS{10.4108/eai.11-7-2023.2340636, author={FX. Risang Baskara}, title={Navigating the Complexities and Potentials of Language Learning Machines in EFL Contexts: A Multidimensional Analysis}, proceedings={Proceedings of the 4th International Conference Entitled Language, Literary, And Cultural Studies, ICON LATERALS 2023, 11-12 July 2023, Malang, Indonesia}, publisher={EAI}, proceedings_a={ICON LATERALS}, year={2023}, month={12}, keywords={artificial intelligence efl education educational technology large language models language pedagogy}, doi={10.4108/eai.11-7-2023.2340636} }
- FX. Risang Baskara
Year: 2023
Navigating the Complexities and Potentials of Language Learning Machines in EFL Contexts: A Multidimensional Analysis
ICON LATERALS
EAI
DOI: 10.4108/eai.11-7-2023.2340636
Abstract
This research integrates Large Language Models (LLMs), specifically GPT-4, into English as a Foreign Language (EFL) teaching and learning, at the intersection of technology and language pedagogy. Rapid advancements in Artificial Intelligence (AI) have introduced LLMs with significant linguistic capabilities, making them valuable for EFL education. However, there is a dearth of comprehensive theoretical analysis on their implementation, creating a gap in the current knowledge. This study aims to address this gap and provide new insights in educational technology. The researcher conducts a thorough analysis of existing literature on LLMs and EFL education to uncover potential benefits and challenges of LLM integration. The methodology involves theoretical analysis and a systematic literature review. Findings indicate that LLMs have the potential to enhance EFL education, promoting interactive and personalized learning. Nevertheless, challenges exist. Recognizing the implications of these findings for EFL pedagogy, further investigation into practical implementation and impact assessments is encouraged to inform future policies and practices.