THE EFFECT OF MOBILE-BASED ARTIFICIAL INTELLIGENCE ON INDONESIAN MIDDLE SCHOOL STUDENTS’ PRONUNCIATION COMPETENCE

This research was a pre-experimental study using one group pre-test and post-test design. The objective of the study was to find the effect of mobile-based AI on Indonesian middle school students’ pronunciation competence. The population of this study was 9th grade students, consisting of 9th A and 9th B classes in Islamic boarding school. The researcher recruited female and male students from 9th A, totaling 28 students as the sample research. The instrument used in this research was ten sentences for the pronunciation test. The validity and reliability tests were first tested using SPSS 29 that further taken as pre-test and post-test material. The treatment was conducted in six sessions using the ELSA application with the aim of improving the students' English pronunciation competence. The results of this study showed the average value of the post-test was higher than the pre-test. The pre-test average score was 55.54 and the post-test average score was 80.18. The mean results between the pre-test and post-test showed a difference in the improvement of students' pronunciation competence. The results of the t-test analysis with SPSS 29 showed the significant value (sig-2 tailed) was 0.001, which is smaller than 0.05. Accordingly, it can be inferred that H0 was rejected and Ha was accepted. Therefore, it can be concluded that the use of mobile-based artificial intelligence on middle school students’ pronunciation competence was effective and feasible.