JSEA  Vol.8 No.11 , November 2015
A Study on the Impact of Learning Management System on Students of the University of Jordan
ABSTRACT
Despite of the advantages of Information and Communication Technology (ICT) which makes our lives easier, faster, and more connected, the development of ICT is pushing the countries in the direction of ICT applications. The higher education is one of the sectors that try to adopt one of ICT applications through E-learning and using (Moodle) as learning management system. This paper finds out the impact of Moodle on students through examining the students’ acceptance of the system using TAM model. This study was carried out by some teaching members of the Faculty of King Abdullah II School for Information Technology at the University of Jordan during the spring semester of the academic year 2013/2014. The results of this study firm the original TAM’s findings and reveal that the faculties of students and number of previously E-learning courses have an influence on perceive ease of use and perceived usefulness while the level of the academic year and GPA have no significant influence on perceived ease of use. Even though, they have affected on perceived usefulness. Finally, the student’s skills on computer with student’s difficulty in reading from the screen affect perceived ease of use but, it has been found that they have no influence on perceived usefulness.

Cite this paper
Al-Assaf, N. , Almarabeh, T. and Eddin, L. (2015) A Study on the Impact of Learning Management System on Students of the University of Jordan. Journal of Software Engineering and Applications, 8, 590-601. doi: 10.4236/jsea.2015.811056.
References
[1]   Paechter, M., Maier, B. and Macher, D. (2010) Students’ Expectations of and Experiences in E-Learning: Their Relation to Learning Achievements and Course Satisfaction. Computers & Education, 54, 222-229.
http://dx.doi.org/10.1016/j.compedu.2009.08.005

[2]   Amaral, L.A. and Leal, D. (2004) From Classroom Teaching to E-learning: The Way for a Strong Definition. Universidade do Minho, Braga.

[3]   Heinze, A. and Procter, C. (2004) Reflections on the Use of Blended Learning: Education in a Changing Environment. Conference Proceedings, Heinze, 13-14 September 2004, 8.

[4]   Ferreira, J.B., Klein, A.Z., Freitas, A. and Schlemmer, E. (2013) Mobile Learning: Definition, Uses and Challenges. In: Wankel, L.A. and Blessinger, P., Eds., Increasing Student Engagement and Retention Using Mobile Applications: Smartphones, Skype, and Texting Technologies, Emerald Publishing Group, Bingley, 47-83.
http://dx.doi.org/10.1108/S2044-9968(2013)000006D005

[5]   Davis, F.D., Bagozzi, R.P. and Warsha, P.R. (1989) User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35, 982-1003.

[6]   Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340.
http://dx.doi.org/10.2307/249008

[7]   Ngai, E.W.T., Poon J.K.L. and Chan, Y.H.C. (2007) Empirical Examination of the Adoption of WebCT Using TAM. Computers & Education, 48, 250-267.
http://dx.doi.org/10.1016/j.compedu.2004.11.007

[8]   Sun, P.-C., Tsai, R.J., Finger, G., Chen, Y.-Y. and Yeh, D. (2007) What Drives a Successful E-Learning? An Empirical Investigation of the Critical Factors Influencing Learner Satisfaction. Computers & Education, 50, 1183-1202.

[9]   Zhang, S., Zhao, J. and Tan, W.W. (2008) Extending TAM for Online Learning Systems: An Intrinsic Motivation Perspective. Tsinghua Science and Technology, 13, 312-317.

[10]   Park, S.Y. (2009) An Analysis of the Technology Acceptance Model in Understanding University Students’ Behavioral Intention to Use e-Learning. Educational Technology & Society, 12, 150-162.

[11]   Park, S.Y., Nam, M.-W. and Cha, S.-B. (2012) University Students’ Behavioral Intention to Use Mobile Learning: Evaluating the Technology Acceptance Model. British Journal of Educational Technology, 43, 592-605.
http://dx.doi.org/10.1111/j.1467-8535.2011.01229.x

[12]   Tarhini, A., Hone, K. and Liu, X.H. (2013) Factors Affecting Students’ Acceptance of E-Learning Environments in Developing Countries: A Structural Equation Modeling Approach. International Journal of Information and Education Technology, 3, 54-59.

[13]   Tarhini, A., Hone, K. and Liu, X.H. (2013) Extending the TAM Model to Empirically Investigate the Students’ Behavioural Intention to Use E-Learning in Developing Countries. Science and Information Conference, 7-9 October 2013, London, 732-737.

[14]   Tarhini, A., Hone, K. and Liu, X.H. (2013) User Acceptance towards Web-Based Learning Systems: Investigating the Role of Social, Organizational and Individual factors in European Higher Education. Procedia Computer Science, 17, 189-197.
http://dx.doi.org/10.1016/j.procs.2013.05.026

[15]   Shahrabia, M.A., Ahaninjan, A., Nourbakhsh, H., Ashlubolagh, M.A., Abdolmaleki, J. and Mohamadi, M. (2013) Assessing Psychometric Reliability and Validity of Technology Acceptance Model (TAM) among Faculty Members at Shahid Beheshti University. Management Science Letters, 3, 2295-2300.

[16]   Majadlawi, Y., Almarabeh, T. and Mohammad, H. (2014) Factors Affecting Students’ Usage of Learning Management System at the University of Jordan. Life Science Journal, 11, 666-671.

[17]   Masrom, M. (2007) Technology Acceptance Model and E-Learning. 12th International Conference on Education, 21-24 May 2007, Brunei Darussalam: Universiti Brunei Darussalam, 1-10.

[18]   Sek, Y., Lau, S., Teoh, K. and Law, C. (2010) Prediction of User Acceptance and Adoption of Smart Phone for Learning with Technology Acceptance Model. Journal of Applied Sciences, 10, 2395-2402.
http://dx.doi.org/10.3923/jas.2010.2395.2402

[19]   Moolla, A. and Bisschoff, C. (2012) Validating a Model to Measure the Brand Loyalty of Fast Moving Consumer Goods. The Social Science Journal, 31, 101-115.

[20]   Flynn, B., Schroeder, R. and Sakakibara, S. (1994) A Framework for Quality Management Research and an Associated Measurement Instrument. Journal of Operations Management, 11, 339-366.
http://dx.doi.org/10.1016/S0272-6963(97)90004-8

[21]   Liu, S., Liao, H. and Pratt, J.A. (2009) Impact of Media Richness and Flow on E-Learning Technology Acceptance. Computers & Education, 52, 599-607.
http://dx.doi.org/10.1016/j.compedu.2008.11.002

[22]   Lee, M.K.O., Cheung, C.M.K. and Chen, Z.H. (2005) Internet-Based Learning Medium: The Role of Extrinsic and Intrinsic Motivation. Information & Management, 42, 1095-1104.
http://dx.doi.org/10.1016/j.im.2003.10.007

 
 
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