Adaption of Moodle as E-Learning in Saudi Arabian University: Empirical Examination and its Outcomes Using TAM

Mohammed Ateeq Alanezi


Modern universities increasingly rely on e-Learning management systems to ensure their students have a richer and more-efficient learning experience. The choice and adaption of such systems need careful evaluation to achieve their intended goals. This paper describes the experience of using Moodle as an e-Learning System in Shaqra University, Saudi Arabia. The paper describes the benefits of the system and highlights the problems that were encountered while adapting it. It also explains an analysis study which uses an acceptance model to assure the adaptability of the system in the university by the stakeholders. The study confirms the importance of the project for the university and its impact on the working ethics for the employees as well as the students.


Automatic assessment; e-learning; Moodle; System Adoption; TAM.

Full Text:



. Kolari, S., C. Savander-Ranne, and E.-L. Viskari, Do our engineering students spend enough time studying? European Journal of Engineering Education, 2006. 31(5): p. 499-508.

. Amelung, M., M. Piotrowski, and D. Rösner, EduComponents: Experiences in e-assessment in computer science education. Vol. 38. 2006: ACM.

. Umek, L., et al., Analysis of Selected Aspects of Students' Performance and Satisfaction in a Moodle-Based E-Learning System Environment. Eurasia Journal of Mathematics, Science & Technology Education, 2015. 11(6).

. Jackson, D. and M. Usher. Grading student programs using ASSYST. in ACM SIGCSE Bulletin. 1997. ACM.

. Malmi, L., A. Korhonen, and R. Saikkonen, Experiences in automatic assessment on mass courses and issues for designing virtual courses. ACM SIGCSE Bulletin, 2002. 34(3): p. 55-59.

. Douce, C., D. Livingstone, and J. Orwell, Automatic test-based assessment of programming: A review. Journal on Educational Resources in Computing (JERIC), 2005. 5(3): p. 4.

. Karavirta, V., A. Korhonen, and L. Malmi, On the use of resubmissions in automatic assessment systems. Computer science education, 2006. 16(3): p. 229-240.

. Bennedsen, J., M.E. Caspersen, and M. Kölling, Reflections on the teaching of programming: Methods and implementations. Vol. 4821. 2008: Springer.

. Rosales, F., et al., Detection of plagiarism in programming assignments. IEEE Transactions on Education, 2008. 51(2): p. 174-183.

. Butakov, S. and V. Scherbinin, The toolbox for local and global plagiarism detection. Computers & Education, 2009. 52(4): p. 781-788.

. Djordjevic, J., B. Nikolic, and A. Milenkovic, Flexible web-based educational system for teaching computer architecture and organization. IEEE Transactions on Education, 2005. 48(2): p. 264-273.

. Garcia, A., et al., Automatic management of laboratory work in mass computer engineering courses. IEEE Transactions on Education, 2005. 48(1): p. 89-98.

. Garcia, M.I., et al., p88110: A graphical simulator for computer architecture and organization courses. IEEE Transactions on Education, 2009. 52(2): p. 248-256.

. Robinson, B., Using Distance Education and ICT to Improve Access, Equity and the Quality in Rural Teachers' Professional Development in Western China. International Review of Research in Open and Distance Learning, 2008. 9(1): p. 1-17.

. Trenas, M.A., et al., Use of a new moodle module for improving the teaching of a basic course on computer architecture. IEEE transactions on Education, 2011. 54(2): p. 222-228.

. Jonassen, D.H. Constructivist learning environments on the web: engaging students in meaningful learning. in THE EDUCATIONAL TECHNOLOGY CONFERENCE AND EXHIBITION, SINGAPORE. RETRIEVED SEPTEMBER 24, 2003 FROM HTTP://WWW. MOE. EDU. SG/ITEDUCATION/EDTECH/PAPERS/D1. PDF. 1999. Citeseer.

. Jonassen, D., T. Mayes, and R. McAleese, 11 A Manifesto for a Constructivist Approach to Uses of Technology in Higher Education. Designing environments for constructive learning, 1993. 105: p. 231.

. Khalifa, M. and R. Lam, Web-based learning: effects on learning process and outcome. IEEE Transactions on education, 2002. 45(4): p. 350-356.

. Tan, W., et al., Design on collaborative virtual learning community and learning process visualization. Advances in Web Based Learning-ICWL 2008, 2008: p. 424-433.

. Martín-Blas, T. and A. Serrano-Fernández, The role of new technologies in the learning process: Moodle as a teaching tool in Physics. Computers & Education, 2009. 52(1): p. 35-44.

. Büchner, A., Moodle 3 Administration. 2016: Packt Publishing Ltd.

. Karanian, B.A. and L.G. Chedid, Guest editorial 21st century trends that influence constructing creative classroom environments. IEEE Transactions on Education, 2004. 47(2): p. 157-159.

. Davis, F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 1989: p. 319-340.

. Fishbein, M. and I. Ajzen, Belief, attitude, intention and behavior: An introduction to theory and research. 1975.

. Venkatesh, V. and F.D. Davis, A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 1996. 27(3): p. 451-481.

. Hair, J.F., et al., Multivariate data analysis. Vol. 5. 1998: Prentice hall Upper Saddle River, NJ.

. De Vaus, D., Analyzing social science data: 50 key problems in data analysis. 2002: Sage.

. Wold, S., K. Esbensen, and P. Geladi, Principal component analysis. Chemometrics and intelligent laboratory systems, 1987. 2(1-3): p. 37-52.

. Kaiser, H.F., The varimax criterion for analytic rotation in factor analysis. Psychometrika, 1958. 23(3): p. 187-200.


  • There are currently no refbacks.

Comments on this article

View all comments





About IJC | Privacy PolicyTerms & Conditions | Contact Us | DisclaimerFAQs 

IJC is published by (GSSRR).