Empirical Investigation On Student Satisfaction In E-Learning In The Covid 19 Period With Importance Performance Analysis

Lila Bismala, Lila Bismala, Yayuk Hayulina Manurung


The covid 19 pandemic caused learning to be done with an online system, one of which is by using e-learning.  The use of e-learning received a lot of reactions, both from the student and lecturer side.  Lecturers must be able to make the best preparation, both in terms of materials, media, content, interaction and flexibility in the use of e-learning, so that students do not have difficulty in distance learning done.  While students must prepare themselves as best as possible, both in terms of technology, ability, interaction with colleagues and lecturers, as well as motivation in conducting distance learning using e-learning.  This study aims to investigate Student Satisfaction in using e-learning as a method of distance learning during the covid 19 pandemic, using Importance Performance Analysis. The number of respondents in this study was 132 students. The results showed that there are several factors that need to be improved, such as materials presented in e-learning, interaction with lecturers, availability of facilities, and lecturers.  Factors that must be maintained include flexibility, assessment in e-learning that is felt to be appropriate, the benefits of e-learning, and students' ability to allocate time.  Meanwhile, factors that are considered less important and do not obtain priorities include peers, easy-to-understand materials, ability to learn independently and understand tasks.  In addition, students consider there are several factors that are considered too excessive, namely self-motivation, ability to understand the use of e-learning, independent learning process


Student satisfaction E-learning Importance Performance Analysis


L. Rodriguez-Segura, M. A. Zamora-Antuñano, J. Rodríguez-Reséndiz, W. J. Paredes-García, J. A. Altamirano-Corro, and M. Á. Cruz-Pérez, “Teaching challenges in COVID-19 scenery: Teams platform-based student satisfaction approach,” Sustain., vol. 12, no. 18, pp. 1–29, 2020, doi: 10.3390/su12187514.

W. Bhuasiri, O. Xaymoungkhoun, H. Zo, J. J. Rho, and A. P. Ciganek, “Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty,” Comput. Educ., vol. 58, no. 2, pp. 843–855, 2012, doi: 10.1016/j.compedu.2011.10.010.

J. E. Luaran, N. N. Samsuri, F. A. Nadzri, and K. B. M. Rom, “A Study on the Student’s Perspective on the Effectiveness of Using e-learning,” Procedia - Soc. Behav. Sci., vol. 123, pp. 139–144, 2014, doi: 10.1016/j.sbspro.2014.01.1407.

T. H. Wang, “Developing an assessment-centered e-Learning system for improving student learning effectiveness,” Comput. Educ., vol. 73, pp. 189–203, 2014, doi: 10.1016/j.compedu.2013.12.002.

A. K. Agariya and D. Singh, “E-Learning quality: Scale development and validation in Indian context,” Knowl. Manag. E-Learning, vol. 4, no. 4, pp. 500–517, 2012, doi: 10.34105/j.kmel.2012.04.036.

T. Teo, “A structural equation modelling of factors influencing student teachers’ satisfaction with e-learning,” Br. J. Educ. Technol., vol. 41, no. 6, pp. 150–152, 2010, doi: 10.1111/j.1467-8535.2010.01110.x.

W. S. Chow and S. Shi, “Investigating Students’ Satisfaction and Continuance Intention toward E-learning: An Extension of the Expectation – Confirmation Model,” Procedia - Soc. Behav. Sci., vol. 141, pp. 1145–1149, 2014, doi: 10.1016/j.sbspro.2014.05.193.

P. C. Sun, R. J. Tsai, G. Finger, Y. Y. Chen, and D. Yeh, “What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction,” Comput. Educ., vol. 50, no. 4, pp. 1–20, 2007, doi: 10.1016/j.compedu.2006.11.007.

J. S. Mtebe and C. Raphael, “Key factors in learners’ satisfaction with the e-learning system at the the University of Dar es Salaam, Tanzania,” Australas. J. Educ. Technol., vol. 34, no. 4, pp. 107–122, 2018, doi: 10.1111/j.1747-1567.2009.00538.x.

C. L. Lin, S. W. Yu, Y. S. Su, F. L. Fu, and Y. T. Lin, “Charismatic learning: Students’ satisfaction with e-learning in higher education,” J. Internet Technol., vol. 20, no. 5, pp. 1665–1672, 2019, doi: 10.3966/160792642019092005030.

S. Naidu, E-Learning A Guidebook of Principles, Procedures and Practices, 2nd ed. New Delhi: Commonwealth Educational Media Center for Asia, 2003.

W. M. Al-rahmi, M. S. Othman, and L. M. Yusuf, “Exploring the Factors that Affect Student Satisfaction through Using E-Learning in Malaysian Higher Education Institutions,” Mediterr. J. Soc. Sci., vol. 6, no. 4, pp. 299–310, 2015, doi: 10.5901/mjss.2015.v6n4s1p299.

M. Corry and J. Stella, “Teacher self-efficacy in online education: A review of the literature,” Res. Learn. Technol., vol. 26, pp. 1–12, 2018, doi: 10.25304/rlt.v26.2047.

S. Keskin and H. Yurdugül, “Factors Affecting Students’ Preferences for Online and Blended Learning: Motivational Vs. Cognitive,” Eur. J. Open, Distance E-Learning, vol. 22, no. 2, pp. 72–86, 2019, doi: 10.2478/eurodl-2019-0011.

O. O. Jethro, A. M. Grace, and A. K. Thomas, “E-Learning and Its Effects on Teaching and Learning in a Global Age,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 2, no. 1, pp. 203–210, 2012.

M. L. Cheok and S. L. Wong, “Predictors of E-learning satisfaction in teaching and learning for school teachers: A literature review,” Int. J. Instr., vol. 8, no. 1, pp. 75–90, 2015, doi: 10.12973/iji.2015.816a.

N. A. Buzzetto-More, “Student Perceptions of Various E-Learning Components,” Interdiscip. J. e-Learning Learn. Objects, vol. 4, pp. 113–135, 2008, doi: 10.28945/370.

M. Thanji and S. Vasantha, “A Study of benefits and limitations of e-learning - A learner’s perspective,” Int. J. Pure Appl. Math., vol. 118, no. 5, pp. 175–184, 2018.

N. Dabbagh, “The Online Learner: Characteristics and Pedagogical Implications,” Contemp. Issues Technol. Teach. Educ., vol. 7, no. 3, pp. 217–226, 2007, doi: 10.1007/springerreference_302098.

J. A. Martilla and J. C. James, “Importance-Performance Analysis,” J. Mark., vol. 41, no. 1, pp. 77–79, 1977.

C. Wright and M. O’Neill, “Service quality evaluation in the higher education sector: An empirical investigation of students’ perceptions,” High. Educ. Res. Dev., vol. 21, no. 1, pp. 23–39, 2002, doi: 10.1080/07294360220124639.

J. Ziegler, P. Dearden, and R. Rollins, “But are tourists satis fi ed ? Importance-performance analysis of the whale shark tourism industry on Isla Holbox , Mexico,” Tour. Manag., vol. 33, pp. 692–701, 2012, doi: 10.1016/j.tourman.2011.08.004.

E. Vieira, J. J. Ferreira, and R. São João, “Creation of value for business from the importance-performance analysis: the case of health clubs,” Meas. Bus. Excell., vol. 23, no. 2, pp. 199–215, 2019, doi: 10.1108/mbe-09-2018-0076.

J. Abalo, J. Varela, and V. Manzano, “Importance values for Importance-Performance Analysis: A formula for spreading out values derived from preference rankings,” J. Bus. Res., vol. 60, no. 2, pp. 115–121, 2007, doi: 10.1016/j.jbusres.2006.10.009.

T. Anderson, The Theory and PracTice of online learning, 5th ed. AU Press, 2011.

K. Syauqi, S. Munadi, and M. B. Triyono, “Students’ perceptions toward vocational education on online learning during the COVID-19 pandemic,” Int. J. Eval. Res. Educ., vol. 9, no. 4, pp. 881–886, 2020, doi: 10.11591/ijere.v9i4.20766.

B. A. Al-Alak and I. A. M. Alnawas, “Measuring the acceptance and adoption of e-learning by academic staff,” Knowl. Manag. E-Learning An Int. J., vol. 3, no. 2, pp. 201–221, 2011, doi: 10.34105/j.kmel.2011.03.016.

D. Thurber and L. Trautvetter, “Examining student reported interaction and satisfaction in higher education administration graduate seminar-style blended courses,” Online Learn. J., vol. 24, no. 3, pp. 184–202, 2020, doi: 10.24059/olj.v24i3.2102.

P. Ramkissoon, L. J. Belle, and T. Bhurosy, “Perceptions and experiences of students on the use of interactive online learning technologies in Mauritius,” Int. J. Eval. Res. Educ., vol. 9, no. 4, pp. 833–839, 2020, doi: 10.11591/ijere.v9i4.20692.

R. M. Golladay, V. R. Prybutok, and R. A. Huff, “Critical success factors for the online learner,” J. Comput. Inf. Syst., vol. 40, no. 4, pp. 69–71, 2000, doi: 10.1080/08874417.2000.11647468.

W. Zimmerman, B. Altman, B. Simunich, K. Shattuck, and B. Burch, “Evaluating online course quality: A study on implementation of course quality standards,” Online Learn. J., vol. 24, no. 4, pp. 147–163, 2020, doi: 10.24059/olj.v24i4.2325.

DOI: http://doi.org/10.11591/ijere.v10i3.21467


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