A Sustainable Model for Deployment of M-Learning in Kenyan Universitie
Stanley Mogaka1, Jairus Odawa2, Collins Odoyo3
1Stanley Mogaka, Department of Information Technology, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
2Jairus Odawa, Lecturer, Department of Information Technology, School of Computing and Informatics, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
3Collins Odoyo, Lecturer, School of Computing and Informatics (SCI), Masinde Muliro University, Kakamega, Kenya.
Manuscript received on 29 October 2022 | Revised Manuscript received on 08 November 2022 | Manuscript Accepted on 15 November 2022 | Manuscript published on 30 November 2022 | PP: 49-61 | Volume-11 Issue-12, November 2022 | Retrieval Number: 100.1/ijitee.L934011111222 | DOI: 10.35940/ijitee.L9340.11111222
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Institutions of higher learning around the world are considering the use of technology as alternative methods of instruction. Mobile learning technologies and wireless networks are becoming increasingly popular tools of facilitating learning in higher education institutions. Mobile learning (or m-learning) has the ability to connect learners to information anytime and anywhere. While some studies have explored the challenges and the issues of implementing this technology, a majority have focused on acceptance alone. However, little research has been conducted to comprehend factors for sustainable deployment of m-learning in higher education. This study was conducted with the intention of identifying the factors that affect the deployment of m-learning, in order to propose and evaluate a sustainable model for mobile learning deployment in university education. Objective: The main objective of the study was to develop a deployment model for use of m-learning in HEI in Kenya. Another objective was to find out the factors that affect deployment of HEI. Methodology: The study adopted a mixed method of research design where both qualitative and quantitative approaches were used. The study was A survey was conducted with a total of 148 students and 28 lecturers. The findings of this study indicate that a conceptual framework and model clearly delineating pre and post-deployment processes can provide a roadmap for sustainable deployment of m-learning. Furthermore, Education Organization and schools can use the model for blending mobile learning with traditional learning using a planned approach to improve education and learning.
Keywords: Mobile learning, M-learning, E-learning, Mobile technology, M-learning school, M-learning sustainability, M-learning deployment model.
Scope of the Article: e-Learning