The most waited engagement in higher education: teachers and students’ committed with e-learning
DOI:
https://doi.org/10.35564/jmbe.2019.0016Keywords:
e-learning, commitment, higher education, teachers, studentsAbstract
Nowadays, it is essential for institutions of higher education to enhance the continuance commitment of users toward e-learning programs to promote and ensure the sustainability of those programs over time. The aim of this research is to identify the factors that might contribute to deepening user commitment toward e-learning systems from key agents’ perspectives (students and teachers). Information was collected from 146 students and 124 teachers participating in e-learning programs in higher education. The results showed that perceived organizational impact is the most important antecedent of continuance commitment. System quality had the highest impact on perceptions of organizational impact among both groups of users.The study showed the need for reconsideration of the role of instructor and system quality in the new educational paradigm, since both variables had no significant direct effect on the continuance commitment of users. This research shows managerial recommendations and directions for deepening commitment toward e-learning systems.
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Alkhalaf, S., Drew, S., AlGhamdi, R., & Alfarraj, O. (2012). E-Learning System on Higher Education Institutions in KSA: Attitudes and Perceptions of Faculty Members. Procedia - Social and Behavioral Sciences, 47, pp. 1199-1205. https://doi.org/10.1016/j.sbspro.2012.06.800
Almarashdeh, I. (2016). Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, pp. 249-255. https://doi.org/10.1016/j.chb.2016.05.013
Aparicio, M., Bacao, F., & Oliveira, T. (2017). Grit in the path to e-learning success. Computers in Human Behavior, 66, pp. 388-399. https://doi.org/10.1016/j.chb.2016.10.009
Ashrafzadeh, A., & Sayadian, S. (2015). University instructors’ concerns and perceptions of technology integration. Computers in Human Behavior, 49, pp. 62-73. https://doi.org/10.1016/j.chb.2015.01.071
Barajas, M. (2002). Restructuring Higher Education Institutions in Europe: The case of virtual learning environments. Interactive educational multimedia: IEM(5), pp. 1-28. http://diposit.ub.edu/dspace/handle/2445/109823
Bartolomé, A., & Aiello, M. (2006). Nuevas tecnologías y necesidades formativas. Blended Learning y nuevos perfiles en comunicación audiovisual. Telos. Cuadernos de Comunicación e Innovación (67), pp. 1-13.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 25(3), pp. 351-370. https://doi.org/10.2307/3250921
Bigné, E., Badenes, A., Ruiz, C., & Andreu, L. (2018). Virtual classroom: teacher skills to promote student engagement. Journal of Management and Business Education, 1(2), pp. 87-105.https://doi.org/10.35564/jmbe.2018.0008
Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: an empirical examination. Industrial Management & Data Systems, 105(5), pp. 645-661. https://doi.org/10.1108/02635570510600000
Ćukušić, M., Alfirević, N., Granić, A., & Garača, Ž. (2010). e-Learning process management and the e-learning performance: Results of a European empirical study. Computers & Education, 55(2), pp. 554-565. https://doi.org/10.1016/j.compedu.2010.02.017
Cheng, B., Wang, M., Moormann, J., Olaniran, B. A., & Chen, N.-S. (2012). The effects of organizational learning environment factors on e-learning acceptance. Computers & Education, 58(3), pp. 885-899. https://doi.org/10.1016/j.compedu.2011.10.014
Dağhan, G., & Akkoyunlu, B. (2016). Modeling the continuance usage intention of online learning environments. Computers in Human Behavior, 60, pp. 198-211. https://doi.org/10.1016/j.chb.2016.02.066
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), pp. 60-95. https://doi.org/10.1287/isre.3.1.60
Duart, J. M., & Mengual-Andrés, S. (2015). Tranformaciones en la universidad hoy: integración de modalidades formativas. Revista Española de Educación Comparada(26), pp. 15-39. https://doi.org/10.5944/reec.26.2015.14447
Dyson, B., Vickers, K., Turtle, J., Cowan, S., & Tassone, A. (2015). Evaluating the use of Facebook to increase student engagement and understanding in lecture-based classes. Higher Education, 69(2), pp. 303-313. https://doi.org/10.1007/s10734-014-9776-3
El-Zeftawy, A. M. A., & Hassan, L. A. E.-W. A. E.-A. (2016). Perception of students regarding blended learning implementation of community health nursing course at faculty of nursing, Tanta University, Egypt. Journal of Nursing Education and Practice, 7(3), pp. 83-93. https://doi.org/10.5430/jnep.v7n3p83
Farr-Wharton, B., Charles, M. B., Keast, R., Woolcott, G., & Chamberlain, D. (2018). Why lecturers still matter: the impact of lecturer-student exchange on student engagement and intention to leave university prematurely. Higher Education, 75(1), pp. 167-185. https://doi.org/10.1007/s10734-017-0190-5
Gable, G. G., Sedera, D., & Chan, T. (2008). Re-conceptualizing information system success: The IS-impact measurement model. Journal of the association for information systems, 9(7), p 18. https://doi.org/10.17705/1jais.00164
González, A., Conde, Á., Díaz, P., García, M., & Ricoy, C. (2018). Instructors’ teaching styles: Relation with competences, self-efficacy, and commitment in pre-service teachers. Higher Education, 75, pp. 625-642. https://doi.org/10.1007/s10734-017-0160-y
Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. The Journal of Strategic Information Systems, 19(3), pp. 207-228. https://doi.org/10.1016/j.jsis.2010.05.001
Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008). Confirmatory tetrad analysis in PLS path modeling. Journal of Business Research, 61(12), pp. 1238-1249. https://doi.org/10.1016/j.jbusres.2008.01.012
Gunn, C. (2010). Sustainability factors for e-learning initiatives. ALT-J, 18(2), pp. 89-103. https://doi.org/10.1080/09687769.2010.492848
Haenlein, M., & Kaplan, A. M. (2004). A beginner's guide to partial least squares analysis. Understanding statistics, 3(4), pp. 283-297. https://doi.org/10.1207/s15328031us0304_4
Hair, J., Joseph, F., Hult, M, G. T., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, US: Sage Publications.
Hara, N., & Kling, R. (2001). Student distress in web-based distance education. Educause Quarterly, 24(3), pp. 68-69. https://doi.org/10.1080/13691180010002297
Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-learning systems success in universities. Expert Systems with Applications, 39(12), pp. 10959-10966. https://doi.org/10.1016/j.eswa.2012.03.028
Headar, M. M., Elaref, N., & Yacout, O. M. (2013). Antecedents and Consequences of Student Satisfaction with e-Learning: The Case of Private Universities in Egypt. Journal of Marketing for Higher Education, 23(2), pp. 226-257. https://doi.org/10.1080/08841241.2013.867919
Henri, D., Morrell, L., & Scott, G. (2018). Student perceptions of their autonomy at University. Higher Education, 75(3), pp. 507-516. https://doi.org/10.1007/s10734-017-0152-y
Ifinedo, P. (2017). Examining students' intention to continue using blogs for learning: Perspectives from technology acceptance, motivational, and social-cognitive frameworks. Computers in Human Behavior, 72, pp. 189-199. https://doi.org/10.1016/j.chb.2016.12.049
Jamlan, M. (2004). Faculty opinions towards introducing e-learning at the University of Bahrain. The International Review of Research in Open and Distributed Learning, 5(2), pp. 1-14. https://doi.org/10.19173/irrodl.v5i2.185
Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), pp. 353-364. https://doi.org/10.1016/j.chb.2009.11.006
Kim, H.-J., Lee, J.-M., & Rha, J.-Y. (2017). Understanding the role of user resistance on mobile learning usage among university students. Computers & Education, 113, pp. 108-118. https://doi.org/10.1016/j.compedu.2017.05.015
Kim, K., Trimi, S., Park, H., & Rhee, S. (2012). The impact of CMS quality on the outcomes of e‐learning systems in higher education: an empirical study. Decision Sciences Journal of Innovative Education, 10(4), pp. 575-587. https://doi.org/10.1111/j.1540-4609.2012.00360.x
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management science, 51(5), pp. 741-755.
Kimiloglu, H., Ozturan, M., & Kutlu, B. (2017). Perceptions about and attitude toward the usage of e-learning in corporate training. Computers in Human Behavior, 72, pp. 339-349. https://doi.org/10.1016/j.chb.2017.02.062
Krotov, V. (2015). Critical Success Factors in M-Learning: A Socio-Technical Perspective. CAIS, 36, p 6. Retrieved from http://aisel.aisnet.org/cais/vol36/iss1/6
Lee, B.-C., Yoon, J.-O., & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), pp. 1320-1329. https://doi.org/10.1016/j.compedu.2009.06.014
Liaw, S.-S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & education, 51(2), pp. 864-873. https://doi.org/10.1016/j.compedu.2007.09.005
Lin, W.-S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70(7), pp. 498-507. https://doi.org/10.1016/j.ijhcs.2012.01.006
Löfström, E., & Nevgi, A. (2007). From strategic planning to meaningful learning: diverse perspectives on the development of web‐based teaching and learning in higher education. British Journal of Educational Technology, 38(2), pp. 312-324. https://doi.org/10.1111/j.1467-8535.2006.00625.x
Luo, N., Zhang, M., & Qi, D. (2017). Effects of different interactions on students' sense of community in e-learning environment. Computers & Education, 115, pp. 153-160. https://doi.org/10.1016/j.compedu.2017.08.006
Mansor, A. Z. (2012). Managing student's grades and attendance records using google forms and google spreadsheets. Procedia-Social and Behavioral Sciences, 59, pp. 420-428. https://doi.org/10.1016/j.sbspro.2012.09.296
McConnell, D. (2018). E-learning in Chinese higher education: the view from inside. Higher Education, 75(6), pp. 1031-1045. https://doi.org/10.1007/s10734-017-0183-4
McGill, T. J., Klobas, J. E., & Renzi, S. (2014). Critical success factors for the continuation of e-learning initiatives. The Internet and Higher Education, 22, pp. 24-36. https://doi.org/10.1016/j.iheduc.2014.04.001
Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, pp. 359-374. https://doi.org/10.1016/j.chb.2014.07.044
Moreira, M. A. (2012). La formación y el aprendizaje en entornos virtuales: potencialidades, debilidades y tendencias. Critica: La Reflexion Calmada Desenreda Nudos, 62(982), pp. 33-36.
Muller, J. (2015). The future of knowledge and skills in science and technology higher education. Higher Education, 70(3), pp. 409-416. https://doi.org/10.1007/s10734-014-9842-x
Navas, M. F. (2016). Estudio de un caso de buenas prácticas de enseñanza virtual en educación superior: El PPSC. Revista de Formación e Innovación Educativa Universitaria, 9(1), pp. 50-66.
Nijman, D.-J., & Gelissen, J. (2011). Direct and indirect effects of supervisor support on transfer of training Supporting workplace learning (pp. 89-106): Springer. https://doi.org/10.1007/978-90-481-9109-3_6
Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63, pp. 33-44.
Ortlieb, R., & Weiss, S. (2018). What makes academic careers less insecure? The role of individual-level antecedents. Higher Education, 76(4), pp. 571-587. https://doi.org/10.1007/s10734-017-0226-x
Parahoo, S. K., Santally, M. I., Rajabalee, Y., & Harvey, H. L. (2016). Designing a predictive model of student satisfaction in online learning. Journal of Marketing for Higher Education, 26(1), pp. 1-19. https://doi.org/10.1080/08841241.2015.1083511
Petruzzellis, L., D'Uggento, A. M., & Romanazzi, S. (2006). Student satisfaction and quality of service in Italian universities. Managing Service Quality: An International Journal, 16(4), pp. 349-364. https://doi.org/10.1108/09604520610675694
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European journal of information systems, 17(3), pp. 236-263. https://doi.org/10.1057/ejis.2008.15
Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS quarterly, 31(4), pp. 623-656.
Polat, S. (2011). The Relationship between University Students' Academic Achievement and Perceived Organizational Image. Educational Sciences: Theory and Practice, 11(1), pp. 257-262.
Rodríguez, J. C. F. (2013). Educación eLearning. Calidad y eficacia educativa para la sociedad del S. XXI. Sociedad y utopía: Revista de ciencias sociales(42), pp. 36-52.
San Nicolás, M. B., Vargas, E. F., & Moreira, M. A. (2013). Competencias digitales del profesorado y alumnado en el desarrollo de la docencia virtual. El caso de la Universidad de La Laguna. Revista Historia de la Educación Latinoamericana, 14(19), pp. 227-245. https://doi.org/10.19053/01227238.1993
Stodnick, M., & Rogers, P. (2008). Using SERVQUAL to measure the quality of the classroom experience. Decision Sciences Journal of Innovative Education, 6(1), pp. 115-133. https://doi.org/10.1111/j.1540-4609.2007.00162.x
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. Computers & education, 50(4), pp. 1183-1202. https://doi.org/10.1016/j.compedu.2006.11.007
Sung, M., & Yang, S.-U. (2008). Toward the model of university image: The influence of brand personality, external prestige, and reputation. Journal of public relations research, 20(4), pp. 357-376. https://doi.org/10.1080/10627260802153207
Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2011). Using SERVQUAL to assess the quality of e-learning experience. Computers in Human Behavior, 27(3), pp. 1272-1283. https://doi.org/10.1016/j.chb.2011.01.009
Wang, H. C., & Chiu, Y. F. (2011). Assessing e-learning 2.0 system success. Computers & Education, 57(2), pp. 1790-1800. https://doi.org/10.1016/j.compedu.2011.03.009
Wang, W.-T., & Wang, C.-C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53(3), pp. 761-774. https://doi.org/10.1016/j.compedu.2009.02.021
Yuen, A. H., & Ma, W. W. (2008). Exploring teacher acceptance of e‐learning technology. Asia‐Pacific Journal of Teacher Education, 36(3), pp. 229-243. https://doi.org/10.1080/13598660802232779
Zheng, Y., Zhao, K., & Stylianou, A. (2013). The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems, 56, pp. 513-524. https://doi.org/10.1016/j.dss.2012.11.008
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