Automated Pronunciation Digital System Using Pls-Mga

Abstract

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 in enhancing 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.