Examining user acceptance and satisfaction of HE’s E-learning platform

Widiantoro, Albertus Dwiyoga and MURNIATI, CECILIA TITIEK and HARTONO, HENY (2022) Examining user acceptance and satisfaction of HE’s E-learning platform. World Journal on Educational Technology: Current Issues, 14 (5). pp. 1234-1245. ISSN 1556-6501

	Text artikel dan index scopus -sinta wjet.v14i5.7200.pdf Download (6MB)
	Text wjet.v14i5.7200(3).pdf Download (456kB)
	Text turnitin past- Proofreading-Examining User Acceptance and Satisfaction of HE’s E-Learni sudah jadi.docx.pdf Download (392kB)
	Text bukti korespondensi.pdf Download (1MB)

Abstract

The purpose of this study is to determine the determinants of user satisfaction (USat) and continuance intention (CoIn) to use e-learning platforms in Indonesian universities. More specifically, this study examines the effects of system quality (SisQua), information quality (InfQua), confirmation, perceived usefulness (PU) and self-efficacy (SE) on USat and CoIn to use e-learning platform. The expectation-confirmation model and technology acceptance model were used to test the hypotheses with 340 students. This research uses purposive sampling. Surveys were administered for 340 college students. To test the correlation among the variables, the structural equation model was used. This study showed that InfQua, PU, SE, service quality and SisQua positively affected USat. The data analysis indicates the positive effect between SE and USat and CoIn to use e-learning. However, InfQua had a negative effect with USat. This study has several implications for higher education (HE). First, to increase USat, universities should provide excellent services, technical support and user training and workshops for their e-learning platforms, including new features and functionalities so that students can take utmost advantage from them. Students who are contented with their e-learning platform are more likely to keep using it.

Item Type:	Article
Subjects:	000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems 300 Social Sciences > 370 Education > 378 Higher education 600 Technology (Applied sciences)
Divisions:	Faculty of Computer Science > Department of Information Systems
Depositing User:	Mr Albertus Dwiyoga Widiantoro
Date Deposited:	06 Jan 2023 14:13
Last Modified:	23 Feb 2023 03:53
URI:	http://repository.unika.ac.id/id/eprint/30496

Actions (login required)

View Item