Impact of Artificial Intelligence Versus Traditional Instruction for Language Learning: A Survey
Chitra Dhanapal,
N. Asharudeen and
Sabina Yasmin Alfaruque
World Journal of English Language, 2024, vol. 14, issue 2, 182
Abstract:
This study examined the impact of AI-based training compared to conventional instruction approaches in the context of language acquisition.Employing a survey-based methodology, this study collected data from language learners to assess their perspectives and experiences of both traditional and AI-based training.The aim was to determine the advantages and disadvantages of AI-based training and its potential to enhance language learning outcomes.This study commences with a comprehensive analysis of existing research on AI in language learning and compares AI-based training with conventional instruction techniques.This study seeks to contribute to the existing body of knowledge by identifying the gaps in the literature.A representative sample of 72 learners will be administered the survey questionnaire as part of the research approach.The study collected demographic data from respondents and information on their experiences with and opinions on both traditional and AI-based training.Descriptive and inferential statistics were used to analyze the responses and draw insightful conclusions.The findings of this study shed light on the impact of AI-based training on language-learning outcomes.The analysis compared the effectiveness of AI-based instruction with conventional teaching methods, highlighting the advantages and disadvantages of each approach.The study also addresses the constraints and challenges encountered during the research process, which could affect the generalizability of the results.The study’s findings have implications for language teachers, educational institutions, and policymakers while also advancing our understanding of AI’s role of AI in language learning.The results may guide decisions regarding instructional strategies, curriculum design, and the use of AI technology in language learning programs.The study concludes with recommendations for further investigation of the potential of AI-based language learning training and solutions to the issues identified.
Date: 2024
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.sciedupress.com/journal/index.php/wjel/article/download/25115/15623 (application/pdf)
https://www.sciedupress.com/journal/index.php/wjel/article/view/25115 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jfr:wjel11:v:14:y:2024:i:2:p:182
Access Statistics for this article
World Journal of English Language is currently edited by Joe Nelson
More articles in World Journal of English Language from Sciedu Press
Bibliographic data for series maintained by Sciedu Press ().