User-Friendliness of RapidTest E-Platform on UTME Candidates

Authors

  • Bukar, U. A.
  • Andembubtob, D. R.
  • Dodo, A. K.
  • John, A.
  • Sani, A.

Abstract

Nigerian students have raised an alarm over the stress in registering the new CBE system of UTME 2017 and some even described the exercise as very slow, and cumbersome. The aim of this research is to find out the user-friendliness of RapidTest E-Platform on UTME Candidates. Four (4) null hypothesis were identified and adapted from the literature; the usability of the system is not appropriate, the screen design is not user-friendly, accepted and standardized terminology were not used, and the system is not sustainable and reliable. The researchers selected questionnaire as the instrument used of data collection. The participants were classified into two groups. (1) the candidates who are writing the examination, and (2) the staffs who are there to ensure the successful conduct of the examinations, including supervisors, invigilators, proctors, and technical staff. The study adopted a regression analysis due to the facts that the findings have more than two predictor variables to assess the relationship between UTME candidates and their perceived user-friendliness of RapidTest E-Platform. The population of the study consisted of all 2017 UTME candidates and invigilators who participated in the UTME Computer-based examination in Taraba State using Simple random sampling was used to select a sample size of 600 candidates. 75 candidates from each center, also 10 invigilators were randomly selected from 9 centers, totaling 80. The result indicates that, the usability of the system is good, the screen design is partially user friendly, the terminology used are partially correct, and the system is capable to some extent to handle errors and exceptions. The regression analysis method used for this research is not sufficient, since R-squared cannot determine whether the coefficient estimates and predictions are biased, and it does not indicate whether a regression model is adequate.

Published

2025-08-12