Abstract
AbstractHigher educational institutes (HEIs) are managing their resources by using learning management systems (LMS) which facilitate the learning processes. This paper aims to develop the relationships among success factors typically found in the technology, as well as the human and organisational aspects using an interpretive structural modelling (ISM) approach for LMS diffusion in HEIs in the Kingdom of Saudi Arabia (KSA). The success factors possessing a higher driving power in the ISM approach need to be prioritised as many other dependent variables are affected by them. Success factors emerging with high dependence contribute to facilitating the implementation of LMS. A key finding of the modelling is that clearly defined information technology (IT) policies along with appropriate technology infrastructure are significant factors for facilitating the technology aspect of LMS implementation. Additionally, the strengthening and standardisation of IT education resources, level of computer skills, proper training programmes for staff to deliver knowledge to users as well as a high level of human competencies are significant factors for facilitating the human aspect of LMS implementation. Moreover, the support of top management is a very significant factor for improving the organisational aspect of LMS. To ensure successful LMS implementation, KSA HEIs should focus on effective learning environments, facilitate education activities, top management involvement and increased interaction between pedagogy and technology. Understanding user characteristics and online needs is essential to ensure that barriers are overcome, ensuring successful and continued LMS implementation. Further, in this research, the relationship models among the identified success factors in terms of technology, human and organisational have not been statistically validated. However, it has been suggested that future research may be targeted to develop the initial model through ISM for success factors for improving LMS implementation and then testing it using Structural equation modeling (SEM).
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Reference57 articles.
1. Abdullah, F. & Ward, R. (2016) Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238–256. https://doi.org/10.1016/j.chb.2015.11.036.
2. Abu-shawar, B., Al-sadi, J., & Hourani, A. (2006). Integrating the Learning Management System with other Online Administrative Systems at AOU. In Proceedings of The International Conference on Algorithmic Mathematics and Computer Science (AMCS’06) (pp. 22–25).
3. Alebaikan, R., & Troudi, S. (2010). Blended learning in Saudi universities: Challenges and perspectives. ALT-J, 18(1), 49–59. https://doi.org/10.1080/09687761003657614.
4. Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102. https://doi.org/10.1016/j.chb.2015.11.033.
5. Al-Fahad, F. N. (2010). The learners’ satisfaction toward online e-learning implemented in the College of Applied Studies and Community Service, King Saud University, Saudi Arabia: Can e-learning replace the conventional system of education? Turkish Online Journal of Distance Education-TOJDE, 1(April), 238–246. https://doi.org/10.17718/tojde.13198.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献