An Approach for Assessing Uncertainty Associated with Electronic Tutoring Performance in Engineering Academic Environment
Masengo Ilunga, Kemlall Ramdass
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Masengo Ilunga
Department of Civil Engineering, University of South Africa, Pretoria, South Africa
Kemlall Ramdass
Department of Industrial Engineering, University of South Africa, Pretoria, South Africa
Cite this paper as:Ilunga, M., Ramdass, K. (2024). An Approach for Assessing Uncertainty Associated with Electronic Tutoring Performance in Engineering Academic Environment.
Journal of Systemics, Cybernetics and Informatics, 22(3), 61-64. https://doi.org/10.54808/JSCI.22.03.61
Online ISSN (Journal): 1690-4524
Abstract
Two variables (planning and organisation of e-tutorials, and knowledge of the subject matter, before and during covid-19) are preliminarily considered to assess e-tutoring in an engineering department of the University of South Africa. A Monte Carlo simulation has been performed on the two variables respectively, by making comparison of e-tutoring performance before and during covid-19. The results illustrated a probabilistic performance based on trials as opposed to a deterministic approach. Academic departments may make informed decisions for e-tutor programme based on a range of possibilities related to the variables under investigation.
