Please use this identifier to cite or link to this item: https://pub.nkumbauniversity.ac.ug/xmlui/handle/123456789/283
Title: E-learning platforms and security mechanisms used by educational institutions in Kampala, Uganda
Authors: Agaba, J. E
Mpirirwe, Hilda
Mirembe, Drake
Lubega, J.T
Keywords: e-learning; e-assessment
COVID-19 pandemic
authentication
integrity
impersonation
Uganda
Issue Date: 2021
Publisher: International Journal of Information Technology, Communications and Convergence
Citation: Mpirirwe, H; Mirembe, D.P.; Lubega, J.T. and. Agaba, J.E. (2021). E-learning platforms and security mechanisms used by educational institutions in Kampala, Uganda. International Journal of Information Technology, Communications and Convergence, 4 (1), 47-62. https://www.inderscience.com/info/inarticle.php?artid=119110
Series/Report no.: Volume 4;1
Abstract: COVID-19 pandemic accelerated consumptions of e-services in the Ugandan education sector. This study aims at establishing the type of e-learning platforms adopted by educational institutions in Kampala and evaluate the appropriateness of their security mechanisms for online academic progression assessments. The researcher's adopted a mixed-method research approach for data collection and analysis. Respondents were identified using purposive stratified random sampling technique from educational institutions accredited by the Ugandan Ministry of Education and Sports to run 'open distance e-learning'. A total of 400 responded including e-learning experts, teachers and lecturers, and students. The results show that the most popular e-learning platforms were Zoom (87.5%) at primary, Google meet (84.1%) at secondary, WhatsApp (79.7) at secondary and Moodle (98.7%) at university. The e-learning platforms were mainly used for posting learning materials and facilitating teacher-student interactions (97.9%), but less on managing assessment for academic progression [universities (73.9%), secondary (50.7%) and primary (41.7%)].
URI: https://pub.nkumbauniversity.ac.ug/xmlui/handle/123456789/283
ISSN: 2042-3225
Appears in Collections:Computing and Informatics

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