Automated Pronunciation Digital System Using Pls-Mga

• Published in: Journal of Advanced Research in Applied Sciences and Engineering Technology
• Main Author: Ngo K.L.; Chua N.A.; Ju S.-Y.; Goh Y.S.; Ahmad M.B.
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2025
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197590257&doi=10.37934%2faraset.47.1.244256&partnerID=40&md5=1bd2a3f4abeebc3955f330bc287e148a

Language proficiency plays a crucial role in ensuring that communication is accurate, clear, and easily understandable with the support of automated pronunciation digital system. The problem addressed by this study is the lack of an efficient and accurate automated system for assessing and enhancing pronunciation skills, which affects language learners' ability to communicate effectively and confidently. The purpose of this empirical study is to investigate the effects of interface quality (IQ), system quality (SQ), and perceived usefulness (PU) on students’ satisfaction (SS) using an automated pronunciation scoring system to enhance their pronunciation learning. The intent of this study is to examine three factors affecting the students’ satisfaction using this automated pronunciation scoring system. This study used a sample frame of 232 non-native learners learning Chinese from two universities in Malaysia. The relationships were tested through the partial least squares structural equation modelling method. The results revealed that IQ has no significant impact on SS. However, for both SQ and PU, there are positive significant relationships. Besides, learning levels could have effects on these relationships. The partial least squares (PLS) technique was used to examine the direct relationship and PLS-MGA was used to demonstrate the effect of learning levels, with the diploma and degree students. These relationships are further explained in this article. © 2025, Semarak Ilmu Publishing. All rights reserved.