EFL Teachers’ Insights on AI Integration Exploring Chat GPT and the Graph Sage Model

The application of AI technology is revolutionizing the field of English as a foreign language (EFL) instruction. OpenAI’s ChatGPT is an AI conversational tool with the potential to revolutionize EFL classrooms by bringing more interactive and tailored approaches to teaching the language. Examining how EFL teachers in Kazakhstan are using ChatGPT was the driving force behind the research. A range of feelings, from enthusiasm to hesitation, was shown by the results of twelve EFL educators' semi-structured interviews.This suggested method consists of preprocessing, model training, and feature extraction. Three parts make up preprocessing: stemming, handling unstructured words, and standard preprocessing. By isolating documents with unique keywords, reducing background noise, and improving document representation for text analysis, TF-IDF calculates word relevance in feature extraction. The training made continuous use of E-GraphSAGE. This novel approach outperforms the SVM and the ELM, with an average accuracy of 94.32%.

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Published
2024-09-20
DOI
https://doi.org/10.1109/icdscnc62492.2024.10939326
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

EFL Teachers’ Insights on AI Integration Exploring Chat GPT and the Graph Sage Model

Dileep Pulugu, Anil Kumar Lamba, Anuradha Parasar, C. Tharini et al.
Artificial Intelligence in Healthcare and Education
article

EFL Teachers’ Insights on AI Integration Exploring Chat GPT and the Graph Sage Model

Dileep Pulugu, Anil Kumar Lamba, Anuradha Parasar, C. Tharini, Ipsita Nayak, C. R. R. M. Reddy
article en

Abstract

The application of AI technology is revolutionizing the field of English as a foreign language (EFL) instruction. OpenAI’s ChatGPT is an AI conversational tool with the potential to revolutionize EFL classrooms by bringing more interactive and tailored approaches to teaching the language. Examining how EFL teachers in Kazakhstan are using ChatGPT was the driving force behind the research. A range of feelings, from enthusiasm to hesitation, was shown by the results of twelve EFL educators' semi-structured interviews.This suggested method consists of preprocessing, model training, and feature extraction. Three parts make up preprocessing: stemming, handling unstructured words, and standard preprocessing. By isolating documents with unique keywords, reducing background noise, and improving document representation for text analysis, TF-IDF calculates word relevance in feature extraction. The training made continuous use of E-GraphSAGE. This novel approach outperforms the SVM and the ELM, with an average accuracy of 94.32%.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Galgotias University (IN), KIIT University (IN)
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare and Education
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EFL Teachers’ Insights on AI Integration Exploring Chat GPT and the Graph Sage Model — Dileep Pulugu, Anil Kumar Lamba, et al. · (2024) | TGRS Research Map | TGRS