An Approach for Assessing Uncertainty Associated with Electronic Tutoring Performance in Engineering Academic Environment

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.