Methodology of Analysis
Descriptive and inferential statistical methods were utilized to analyse the data and report on the findings. Quantitative data analysis was conducted using SPSS (Software Package for Social Sciences). This study makes use of a variety of statistical tools in order to reach its conclusion; about 95 % confidence intervals were produced using both Wilcoxon signed-rank test and Mann-Whitney U test for nonparametric data to determine skills satisfaction and importance gaps between current perception and 2030 one and also between male and female students.
Demographics of Quantitative Data
Surveys were administered to faculty members from Qatar university N = 41; also, students were from Qatar university N =301 and junior engineers N = 28, and the industry sample number was N =35.
The sample number of faculty members is N = 41 in which 95.1 % (N = 39) of them were males out of which 5.1 % Qataris and 94.9 % non-Qataris, while females are only 4.9 % of the group analysed. Faculty members who were surveyed belonged to the majority of engineering disciplines including mechanical engineering, industrial and systems engineering, chemical engineering, civil engineering, computer engineering, computer science, electrical engineering, and architecture. The majority of the sample who undertook the survey were experts with average teaching experience of 16.6 years, in which the majority teach senior students.