The Use of Computer Programs and Applications by Undergraduates and its Relations to their Motivation toward E-learning and Academic Performance

Nahil Mohammad Al-Jaberi


This study aims to investigate the level of use of computer software and applications, and how it affects motivation toward e-learning as well as academic performance and achievement. The researcher selected a study sample of 500 male and female undergraduates at Petra University. Furthermore, two scales were implemented for the purpose of this research; the first investigated the level of use and integration of programs and applications, and the other investigated how motivated learners were toward e-learning with the use of such applications and programs. The study identified applications most commonly used by undergraduates, with social media networks, E-mails, and smart phones in the lead. Moreover, findings indicated a positive correlation between the level of applications and computer programs use and motivation toward e-learning. However, no correlation was found between the level of implementation and motivation toward e-learning; likewise, academic achievement and faculty were not effective in differentiating motivation levels. However, the variables of academic level and sex were statistically significant in favor of male and older students in their motivation toward e-learning.


Computer Programs, Motivation, Computer Application, e-Learning

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Abdul Daim, K.M., & Nassar A.M. (2012). The use of e-learning environments and its relation to the performance motivation of Al-Quds Open University students in the North Gaza Educational Zone, Palestinian Journal of Open Education, 3(6), 171-216.

Al-Isawi, T. (2011). The Concept of Motivation. Faculty of Primary Education, Babel, Iraq. Retrieved from

Al-Jaberi, N. (2011). Students’ and Teachers’ Attitudes toward E-Learning. Childhood and Pedagogy Magazine. 6. University of Alexandria.

Alrashdan, Abdullah, Janini, Naeem, H., (2006), introduction to education and teaching, Dar El_ Shorouk for Publishing & Distribution, (ed.5).

Anqithan, I. (2009). Learners’ Attitudes toward using Technology in Higher Education, Professional Development Staff in the Higher Education Community Seminar, Riyadh.

Durndell, A., & Hagg, Z. (2002). Computer self-efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample. Computers in Human Behavior, 18(5), 521–535.

Brophy, J. E. (2010). Motivating students to learn: Taylor & Francis

Gabrielle, D. (2003). The effects of technology-mediated instructional strategies on motivation, performance, and self-directed learning. In EdMedia: World Conference on Educational Media and Technology (pp. 2568-2575). Association for the Advancement of Computing in Education (AACE).

Ghergulescu, I., & Muntean, C. H. (2010a). MoGAME: Motivation based Game Level Adaptation Mechanism.

Ghergulescu, I., & Muntean, C. H. (2010b). Supporting assessment of motivation in gaming based e-learning: IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2010).

Giesbers, B., Rienties, B., Tempelaar, D., & Gijselaers, W. (2013). Investigating the relations between motivation, tool use, participation, and performance in an e-learning course using web-videoconferencing. Computers in Human Behavior, 29(1), 285-292.

Harandi, S. R. (2015). Effects of e-learning on Students’ Motivation. Procedia-Social and Behavioral Sciences, 181, 423-430.

Hartnett, M., George, A. S., & Dron, J. (2011a). Being together-factors that unintentionally undermine motivation. Journal of Open Flexible and Distance Learning, 15(1), 1-16.

Hartnett, M., George, A. S., & Dron, J. (2011b). Examining motivation in online distance learning environments: Complex, multifaceted and situation-dependent. The International Review of Research in Open and Distributed Learning, 12(6), 20-38.

Keller, J. M. (2008). First principles of motivation to learn and e3‐learning. Distance Education, 29(2), 175-185.

Kim, K. J., & Frick, T. W. (2011). Changes in student motivation during online learning. Journal of Educational Computing Research, 44(1), 1-23.

Kim, S.S. and Malhotra, N.K. (2005). A longitudinal model of continued IS use: an integrative view of four mechanisms underlying post adoption phenomena, Management Science, 51(5), 741-55.

Law, K. M., Lee, V. C., & Yu, Y. T. (2010). Learning motivation in e-learning facilitated computer programming courses. Computers & Education, 55(1), 218-228.‏

Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). An activity-theoretical approach to investigate learners’ factors toward e-learning systems. Computers in Human Behavior, 23(4), 1906-1920.

Mahdizadeh, H., Biemans, H., & Mulder, M. (2008). Determining factors of the use of e-learning environments by university teachers. Computers & Education, 51(1), 142-154.‏

Martens, R., Gulikers, J., & Bastiaens, T. (2004). The impact of intrinsic motivation on e‐learning in authentic computer tasks. Journal of computer assisted learning, 20(5), 368-376.‏

Miljković, B. D., Petojević, A. V., & Žižović, M. R. (2016). Monitoring the effect of motivation on mastering knowledge and skills in distance learning systems. Vojnotehnički glasnik, 64(4), 1009-1032.‏

Miqdad, M. (2010). Motivation toward Learning in E-Learning Students. E-Learning Conference for the Advancement of Cognitive Communities, Bahrain.

Mullen, G. E., & Tallent-Runnels, M. K. (2006). Student outcomes and perceptions of instructors ‘demands and support in online and traditional classrooms. Internet & Higher Education, 9(4), 257–266.

Nehme, M. (2010). ELearning and Students’ Motivation. Legal Education Review, 20(1/2), 223.

Ong, C. S., & Lai, J. Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in human behavior, 22(5), 816-829.

Owate, C. N., Afolabi, M., & Akanwa, P. C. (2017). Demographic variables and students use of e-learning resources in public secondary school libraries in Rivers State of Nigeria. International Journal of Educational Administration and Policy Studies, 9(2), 10-27.

Rovai, A. P., Ponton, M. K., Wighting, M. J., & Baker, J. D. (2007). A comparative analysis of student motivation in traditional classroom and e-learning courses. International Journal on E-Learning, 6(3), 413.‏

Ryan, R.M. & Deci, E.L. (2000), Intrinsic and extrinsic motivations: classic definitions and new directions, Contemporary Educational Psychology, 25(1), 54-67.

Shenker, J. I., Goss, S. A., & Bernstein, D. A. (1996). Instructor's Resource Manual for Psychology.‏ Boston: Houghton-Mifflin.

Shroff, R. H., Vogel, D. R., Coombes, J., & Lee, F. (2007). Student e-learning intrinsic motivation: A qualitative analysis. Communications of the Association for Information Systems, 19(1), 12.‏

Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413.

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), 1183-1202.‏

Topal, A. D. (2016). Examination of University Students' Level of Satisfaction and Readiness for E-Courses and the Relationship between Them. European Journal of Contemporary Education, 15(1), 7-23.‏

Wu, W., & Hwang, L. Y. (2010). The effectiveness of e-learning for blended courses in colleges: A Multi-Level Empirical Study. International Journal of Electronic Business Management, 8(4), 312-322.



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