The e-Learning Quality Model to Examine Students’ Behavioral Intention to Use Online Learning Platform in a Higher Education Institution

Feby Artwodini Muqtadiroh(1*), Anisah Herdiyanti(2), Noptrina Puspitasari(3),

(1) Institut Teknologi Sepuluh Nopember (ITS)
(2) Institut Teknologi Sepuluh Nopember (ITS)
(3) Institut Teknologi Sepuluh Nopember (ITS)
(*) Corresponding Author
DOI: https://doi.org/10.23917/khif.v6i2.11344

Abstract

This paper aims to understand the behavioral intentions of students in using e-learning in a public university in Indonesia. We apply the e-learning quality model to observe the quality factors that trigger intentions. The quality factors include assurance, empathy, responsiveness, reliability, and website content. Understanding how these quality learning factors may affect a student’s behavior intention to use e-learning is important to bring e-learning implementation success. We collected 502 responses from university students at a public university in Indonesia that implements a Moodle-based e-learning platform – namely ShareITS. Out of 5 (five) quality learning factors, we found only 2 (two) that significantly affect the e-learning quality – i.e., responsiveness and website content. The result shows that the teacher-student engagement in the e-learning platform and also the better visual design of ShareITS can improve the quality of the e-learning platform.

Keywords

behavioral intention; e-learning; higher education; learning quality model; service quality

Full Text:

PDF

References

C. Li and F. Lalani, “The COVID-19 pandemic has changed education forever. This is how,” The World Economic Forum COVID Action Platform, 2020. [Online]. Available: https://www.weforum.org/agenda/2020/04/coronavirus-education-global-covid19-online-digital-learning/. [Accessed: 10-Jun-2020].

D. A. ITS, “Sistem Pendidikan Daring (SPADA) Indonesia,” Direktorat Akademik ITS, 2006. [Online]. Available: http://share.its.ac.id/. [Accessed: 14-Jun-2020].

F. A. Muqtadiroh, A. Herdiyanti, W. Khoirunnisak, and T. Usagawa, “The Implementation of Unified Theory of Acceptance and User of Technology ( UTAUT ) Model to Analyze the Acceptance of Lecturers in Using e-Learning,” in The 2nd International Conference on Informatics foe Development, 2018, pp. 93–99.

L. Darliah, “Pengaruh Kualitas Informasi Dan Penggunaan E-learning Terhadap Prestasi Belajar Mahasiswa Pendidikan Ekonomi Fe Uny Dengan Motivasi Belajar Sebagai,” J. Pendidik. dan Ekon., vol. 5, no. 2, pp. 150–157, 2013.

F. A. Muqtadiroh, A. S. Nisafani, R. M. Saraswati, and A. Herdiyanti, “Analysis of user resistance towards adopting e-learning,” Procedia Comput. Sci., vol. 161, pp. 123–132, 2019.

W. Leonard, “So why did MOOCs fail to live up to the hype?,” University World News, 2019. [Online]. Available: https://www.universityworldnews.com/post.php?story=20190207110446568. [Accessed: 02-Sep-2020].

F. A. Muqtadiroh, A. Herdiyanti, I. Wicaksono, and T. Usagawa, “Analysis of Factors Affecting Continuance Intention of E-Learning Adoption in Lecturers’ Perspectives,” IOP Conf. Ser. Mater. Sci. Eng., vol. 588, no. 1, 2019.

M. Misut and K. Pribilova, “Measuring of Quality in the Context of e-Learning,” Procedia - Soc. Behav. Sci., vol. 177, no. April, pp. 312–319, 2015.

G. J. Udo, K. K. Bagchi, and P. J. Kirs, “An assessment of customers’ e-service quality perception, satisfaction and intention,” Int. J. Inf. Manage., vol. 30, no. 6, pp. 481–492, 2010.

D. Octabriyantiningtyas and E. Suryani, “The Effect of Service Quality on T-Cash Customer Satisfaction using System Dynamics Framework,” J. Inf. Syst. Eng. Bus. Intell., vol. 5, no. 1, p. 76, 2019.

G. J. Udo, K. K. Bagchi, and P. J. Kirs, “Using SERVQUAL to assess the quality of e-learning experience,” Comput. Human Behav., vol. 27, no. 3, pp. 1272–1283, 2011.

R. D. Freeze, K. Alshare, P. L. Lane, and H. Joseph Wen, “IS success model in e-learning context based on students’ perceptions,” J. Inf. Syst. Educ., vol. 21, no. 2, p. 173, 2010.

F. A. Muqtadiroh, H. M. Astuti, and R. Triadi, “The development of quality gates instrument for e-learning implementation,” in International Conference on Information, Communication Technology and System (ICTS), 2016, pp. 255–261.

L. Pham, Y. B. Limbu, T. K. Bui, H. T. Nguyen, and H. T. Pham, “Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam,” Int. J. Educ. Technol. High. Educ., vol. 16, no. 1, 2019.

J. A. C. Hattie and G. M. Donoghue, “Learning strategies: a synthesis and conceptual model,” npj Sci. Learn., vol. 1, no. 1, 2016.

I. El Haddiuoi and M. Khaldi, “Learner behavior analysis on an online learning platform,” Int. J. Emerg. Technol. Learn., vol. 7, no. 2, pp. 22–25, 2012.

R. M. M. F. Luis, M. Llamas-Nistal, and M. J. F. Iglesias, “Enhancing learners’ experience in e-learning based scenarios using Intelligent tutoring systems and learning analytics: First results from a perception survey,” Iber. Conf. Inf. Syst. Technol. Cist., pp. 1–4, 2017.

F. Artwodini Muqtadiroh, M. N. P. Ma’ady, and F. Rizal Rahman, “Ensemble Measurement Model of E-Learning Implementation Readiness for Higher Education Institution,” IJAIT (International J. Appl. Inf. Technol., vol. 2, no. 02, p. 74, 2018.

A. Alowayr and A. Badii, “Review of Monitoring Tools for E-Learning Platforms,” Int. J. Comput. Sci. Inf. Technol., vol. 6, no. 3, pp. 79–86, 2014.

D. Belmawa, “MOOCs Forum for Network Development,” SPADA INDONESIA, 2017. [Online]. Available: https://spada.kemdikbud.go.id/berita/moocs-forum-for-network-development.

G. D. Garson, Partial Least Squares: Regression & Structural Equation Model. 2016.

Article Metrics

Abstract view(s): 1299 time(s)
PDF: 1038 time(s)

Refbacks

  • There are currently no refbacks.