ICISE23 - AUTOMATED PRONUNCIATION DIGITAL SYSTEM USING PLS-MGA

Authors

  • Kea Leng Ngo Academy of Language Studies, UiTM Terengganu Kuala Terengganu Campus, Kuala Terengganu, Malaysia
  • Nurul Ain Chua Department of Language and Communication, Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, Terengganu, Malaysia
  • Soon-Yew Ju Faculty of Administrative Science & Policy Studies, UiTM Pahang, Pahang, Malaysia
  • Ying Soon Goh Academy of Language Studies, UiTM Terenggnau Dungun Campus, Dungun, Malaysia
  • Mazlina Ahmad School of Interpretation and Translation (Malay-Indonesian), Global Campus 81, Hankuk University of Foreign Studies, 17035, Seoul, Korea

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.

Author Biographies

Kea Leng Ngo, Academy of Language Studies, UiTM Terengganu Kuala Terengganu Campus, Kuala Terengganu, Malaysia

klngo@uitm.edu.my

Nurul Ain Chua, Department of Language and Communication, Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, Terengganu, Malaysia

ain.chua@umt.edu.my

Soon-Yew Ju, Faculty of Administrative Science & Policy Studies, UiTM Pahang, Pahang, Malaysia

drsyju@gmail.com

Ying Soon Goh, Academy of Language Studies, UiTM Terenggnau Dungun Campus, Dungun, Malaysia

gohyi141@uitm.edu.my

Mazlina Ahmad, School of Interpretation and Translation (Malay-Indonesian), Global Campus 81, Hankuk University of Foreign Studies, 17035, Seoul, Korea

mazlinaahmad@umt.edu.my

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Published

2024-04-14

How to Cite

Kea Leng Ngo, Nurul Ain Chua, Soon-Yew Ju, Ying Soon Goh, & Mazlina Ahmad. (2024). ICISE23 - AUTOMATED PRONUNCIATION DIGITAL SYSTEM USING PLS-MGA. Journal of Advanced Research in Applied Sciences and Engineering Technology. Retrieved from https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/2030

Issue

Online First Articles

Section

Articles