Artificial intelligence (AI)-based mobile learning in ELT for EFL learners: The implementation and learners' attitudes

Author:

Arini Dini Noor,Hidayat Fahmi,Winarti Atiek,Rosalina Elsa

Abstract

Mobile learning powered by artificial intelligence (AI) is a promising vision for transforming education by introducing tutoring systems that can personalize learning. It is being developed to ensure that all learners have the opportunity to be autonomous and to advance collaborative learning. NovoLearning was used in this study to implement mobile learning powered by artificial intelligence (AI). NovoLearning's mobile learning platform powered by artificial intelligence (AI) provides a pleasurable experience and practical language learning for English as a Foreign Language students. Each NovoLearning level includes meaningful learning objectives in the areas of vocabulary, grammar syntax, listening, pronunciation, and role-playing. The purpose of this study was to examine the improvement of English as a Foreign Language (EFL) University students at Universitas Lambung Mangkurat in Indonesia who studied the subject of English using artificial intelligence-based mobile learning. This study used a pretest-posttest non-equivalent control group design, recruiting two groups: one as the control group, which did not use artificial intelligence-based mobile learning, and another as the experimental group, which did. The result indicates that the t critical value (6.373) is greater than the t table, as indicated by the positive values of the lower score (4.4928) and upper score (8.5195). It is less than 0.05 in the Sig (2-tailed) row. Then it can be concluded that the experimental group's English competence was significantly greater than the control group's. Students' positive attitudes toward AI-based mobile learning encompassed two outcomes: (1) increased opportunities for learning for students and (2) NovoLearning areas for improvement during implementation.

Publisher

Lighthouse Publishing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3