Jurnal Ekonomi, Manajemen, Akuntansi
Vol. 3 No. 6: September 2024

ELSA: A Mobile Application With Artificial Intelligence To Enhance Students' English Vocabulary and Pronunciation

Suhartini, Yosefina Elsiana (Unknown)
Berdi, Bonifasius (Unknown)
Kurnianto, Yohanes Tresno (Unknown)



Article Info

Publish Date
01 Oct 2024

Abstract

This research aims to investigate the effect of using the ELSA application designed with artificial intelligence on students' English vocabulary mastery and pronunciation skills. The research method used was a quantitative approach with a quasi-experimental design. The study involved population and sample selection, data collection instruments such as tests and observations, as well as data analysis techniques including validity test, reliability, normality test, homogeneity test, hypothesis testing, and effect size calculation. The results showed that the experimental group using the ELSA application had a higher average score compared to the control group. Statistical analysis showed a significant difference between the scores of the experimental group and the control group, with a strong effect of the ELSA application on students' skills. Furthermore, when utilizing the ELSA application to learn English, students appear pleased, energetic, and very excited. Therefore, it can be concluded that the ELSA application effectively improves students' English vocabulary and pronunciation skills.

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Journal Info

Abbrev

EKOMA

Publisher

Subject

Economics, Econometrics & Finance

Description

EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi merupakan jurnal yang diterbitkan oleh CV ULIL ALBAB CORP. EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi menerbitkan artikel bidang ekonomi, manajemen, dan akuntansi. EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi terbit setahun 2 kali yakni pada bulan juni ...