The Statistical Evaluation of E-Exams in Higher Education Institutions during COVID-19 Pandemic: A Case of Iraq

Abstract

After the COVID-19 Pandemic, electronic Learning has become the unique means of completing curricula, conducting assessments and examinations in Iraqi universities. The present research evaluates an electronic test (E-exam) implementation at one of the Iraqi technical universities (as a case study) based on two samples of 532 teachers and 5268 students. Descriptive and inference statistics were used to analyze the two samples’ responses to two questionnaires’ questionnaires. The results showed that 84% of the teachers and 68% of the students indicated that the implemented E-exam could not distinguish the outstanding students, leading to unreal scores. On the other hand, 21% of teachers have confidence with E-exam, while 60% of students trust it. Furthermore, the Lakeland Triangular classification test shows that the Grand Mean for the two samples’ responses was moderate weight (1.67-2.33), and the teachers’ responses were more homogenous with a lower Variance. Both samples’ reflections revealed an adverse reaction towards E-exam’s suitability for assessment in Technical Education, and so Blended Learning is recommended to meet this requirement. However, enhancement of the infrastructure and more training is needed to obtain effective monitoring.