The Effectiveness of Loora AI Toward Student Pronunciation at Fourth Grade Elementary School SCN 088 Sungai Mengkuang

Abstract

This study aims to determine the effectiveness of Loora AI in improving the pronunciation skills of fourth-grade students at SDN 088 Sungai Mengkuang. The background of this study was the students’ low ability to pronounce English words correctly, which was influenced by limited learning time, lack of exposure to English, and low motivation. To address these challenges, Loora AI, an artificial intelligence-based learning platform, was applied as a medium for teaching pronunciation. This research employed a quantitative approach with a pre-experimental design using a one-group pre-test and post-test model. The population consisted of 20 students, and 18 students participated as the research sample. Data were collected through pronunciation tests conducted before and after the treatment, focusing on vowels, consonants, and the effort to imitate. The data were analyzed using descriptive statistics, normality tests, and hypothesis testing with the Wilcoxon Signed Rank Test in SPSS. The findings revealed an

increase in the students’ mean scores from pre-test to post-test. Hypothesis testing showed a significance value of 0.000 (p < 0.05), indicating that Loora AI significantly improved students’ pronunciation skills. Thus, Loora AI proved to be an effective and engaging learning tool for enhancing English pronunciation among elementary school students.