IS Success Model for EDMODO E-learning User Satisfaction through TAM on Students

Ridwan Daud Mahande(1*), Jasruddin Jasruddin(2), Nasir Nasir(3),

(1) Universitas Negeri Makassar SCOPUS ID:57194702066
(2) Universitas Negeri Makassar
(3) Universitas Muhammadiyah Makassar
(*) Corresponding Author




DOI: https://doi.org/10.26858/est.v5i2.9575

Abstract


This study aimed to analyze the effect of IS Success Model variable on Edmodo's e-learning user satisfaction partially, both directly and indirectly through the TAM variable. This research was conducted through an ex-post-facto approach to undergraduate students. Data collection instruments used questionnaire and observation. The questionnaire was developed from the technology acceptance model (TAM) and information system (IS) success model. The collected data were analyzed through descriptive statistics and path analysis using IBM SPSS 20 program. The results showed that the three core variables of the IS Success model directly had a significant effect on the two core variables of TAM, and the two core variables of TAM directly affected user satisfaction. Indirectly, the three core variables of IS Success model had a significant effect on user satisfaction through the two core variables of TAM. Service Quality, also, to provide a more significant direct effect on perceived usefulness, also indirectly influenced user satisfaction through perceived usefulness. Perceived ease of use had more significant direct and indirect effects through perceived usefulness on Edmodo e-learning user satisfaction.   


Keywords


IS Success Model; TAM; User satisfaction; e-learning; Edmodo.

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References


Al-Said, K.M., 2015. Students’ Perceptions of Edmodo and Mobile Learning and Their Real Barriers towards Them. Turk. Online J. Educ. Technol. - TOJET 14, 167–180.

Aparicio, M., Bacao, F., Oliveira, T., 2016. Cultural impacts on e-learning systems’ success. Internet High. Educ. 31, 58–70. https://doi.org/10.1016/j.iheduc.2016.06.003

Arpaci, I., 2017. The Role of Self-Efficacy in Predicting Use of Distance Education Tools and Learning Management Systems. Turk. Online J. Distance Educ. 18, 52–62.

Cakır, R., Solak, E., 2015. Attitude of Turkish EFL Learners towards e-Learning through Tam Model. Procedia - Soc. Behav. Sci. 176, 596–601. https://doi.org/10.1016/j.sbspro.2015.01.515

Chang, C.-T., Hajiyev, J., Su, C.-R., 2017. Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Comput. Educ. 111, 128–143. https://doi.org/10.1016/j.compedu.2017.04.010

Chuang, S.-H., Lin, H.-N., 2013. The roles of infrastructure capability and customer orientation in enhancing customer-information quality in CRM systems: Empirical evidence from Taiwan. Int. J. Inf. Manag. 33, 271–281. https://doi.org/10.1016/j.ijinfomgt.2012.12.003

Chung, N., Koo, C., 2015. The use of social media in travel information search. Telemat. Inform. 32, 215–229. https://doi.org/10.1016/j.tele.2014.08.005

Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989. User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35, 982–1003.

Dewi, F., 2014a. EDMODO: A Social Learning Platform for Blended Learning Class in Higher Education. Res. Educ. Technol. Pedagogy Technol. J. SEAMEO-SEAMOLEC 11.

Dewi, F., 2014b. Edmodo: A social learning platform for blended learning class in higher education. Res. Educ. Technol. Pedagogy Technol. J. SEAMEO-SEAMOLEC 11.

Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L., 2006. Multivariate data analysis 6th Edition. Pearson Prentice Hall N. J. Hum. Crit. Reformul. J. Abnorm. Psychol. 87, 49–74.

Isaac, S., Michael, W.B., 1971. Handbook in research and evaluation.

Kellermann, A.L., Jones, S.S., 2013. What It Will Take To Achieve The As-Yet-Unfulfilled Promises Of Health Information Technology. Health Aff. (Millwood) 32, 63–68. https://doi.org/10.1377/hlthaff.2012.0693

Khan, N., Rahmani, S.H.R., Hoe, H.Y., Chen, T.B., 2014. Causal relationships among dimensions of consumer-based brand equity and purchase intention: Fashion industry. Int. J. Bus. Manag. 10, 172.

Kongchan, C., 2013. How Edmodo and Google Docs can change traditional classrooms, in: The European Conference on Language Learning 2013.

Liaw, S.-S., Huang, H.-M., Liaw, Y.-T.A., Liaw, Y.-H.A., 2016. Exploring learners attitudes toward a social e-learning system: A case study of the Edmodo. Presented at the EdMedia + Innovate Learning, Association for the Advancement of Computing in Education (AACE), pp. 764–769.

Ling, M.H., Tsui, K.L., Balakrishnan, N., 2015. Accelerated Degradation Analysis for the Quality of a System Based on the Gamma Process. IEEE Trans. Reliab. 64, 463–472. https://doi.org/10.1109/TR.2014.2337071

Mahande, R., Jasruddin, J., 2018. The Conceptual model of user satisfaction for e-Learning Edmodo on Undergraduate students: A Preliminary study, in: Proceedings of the The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus. Presented at the The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus, EAI, Kudus, Indonesia. https://doi.org/10.4108/eai.24-10-2018.2280533

Mardapi, D., 2008. Teknik penyusunan instrumen tes dan nontes. Yogyak. Mitrs Cendikia Offset.

Mohammadi, H., 2015. Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Comput. Hum. Behav. 45, 359–374. https://doi.org/10.1016/j.chb.2014.07.044

Purnawarman, P., Susilawati, S., Sundayana, W., 2016. The use of Edmodo in teaching writing in a blended learning setting. Indones. J. Appl. Linguist. 5, 242. https://doi.org/10.17509/ijal.v5i2.1348

Ramadiani, Azainil, Haryaka, U., Agus, F., Kridalaksana, A.H., 2017. User Satisfaction Model for e-Learning Using Smartphone. Procedia Comput. Sci. 116, 373–380. https://doi.org/10.1016/j.procs.2017.10.070

Sharma, S.K., Joshi, A., Sharma, H., 2016. A multi-analytical approach to predict the Facebook usage in higher education. Comput. Hum. Behav. 55, 340–353. https://doi.org/10.1016/j.chb.2015.09.020

Sledgianowski, D., Kulviwat, S., 2008. Social network sites: Antecedents of user adoption and usage. AMCIS 2008 Proc. 83.

Sun, P.-C., Tsai, R.J., Finger, G., Chen, Y.-Y., Yeh, D., 2008. What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Comput. Educ. 50, 1183–1202. https://doi.org/10.1016/j.compedu.2006.11.007

Sun, Y., Fang, Y., Lim, K.H., Straub, D., 2012. User satisfaction with information technology service delivery: A social capital perspective. Inf. Syst. Res. 23, 1195–1211.

Thongmak, M., 2014. Factors determining learners’ acceptance of Facebook in a higher education classroom. Knowl. Manag. E-Learn. Int. J. KMEL 6, 316–331.

Thongmak, M., 2013. Social Network System in Classroom: Antecedents of Edmodo © Adoption. J. E-Learn. High. Educ. 1–15. https://doi.org/10.5171/2013.657749

Ursavaş, Ö.F., Reisoglu, I., 2017a. The effects of cognitive style on Edmodo users’ behaviour: A structural equation modeling-based multi-group analysis. Int. J. Inf. Learn. Technol. 34, 31–50. https://doi.org/10.1108/IJILT-06-2016-0019

Ursavaş, Ö.F., Reisoglu, I., 2017b. The effects of cognitive style on Edmodo users’ behaviour: A structural equation modeling-based multi-group analysis. Int. J. Inf. Learn. Technol. 34, 31–50.

Venkataraman, J.B., Ramasamy, S., 2018. Factors influencing mobile learning: a literature review of selected journal papers. Int. J. Mob. Learn. Organ. 12, 99–112. https://doi.org/10.1504/IJMLO.2018.090836

Venkatesh, V., Bala, H., 2008. Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39, 273–315.

Warawudhi, R., 2017. The evaluation of Edmodo in business reading class. Int. J. Inf. Educ. Technol. 7, 153.

Yunkul, E., Cankaya, S., 2017. Students’ Attitudes Towards Edmodo, a Social Learning Network: A Scale Development Study. Turk. Online J. Distance Educ. 18, 16–29.

Zamzuri, N.H., Shahrom, M., Kasim, E.S., Nasir, H.M., Mamat, M.N., 2012. The Role of Cognitive Styles in Influencing the users’ Satisfaction on E-Learning System. Procedia - Soc. Behav. Sci. 67, 427–435. https://doi.org/10.1016/j.sbspro.2012.11.347


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