Digital Intelligence for University Students Using Artificial Intelligence Techniques

Abstract

The research problem arose from the researchers’ sense of the importance of Digital Intelligence (DI), as it is a basic requirement to help students engage in the digital world and be disciplined in using technology and digital techniques, as students’ ideas are sufficiently susceptible to influence at this stage in light of modern technology. The research aims to know the level of DI among university students using Artificial Intelligence (AI) techniques. To verify this, the researchers built a measure of DI. The measure in its final form consisted of (24) items distributed among (8) main skills, and the validity and reliability of the tool was confirmed. It was applied to a sample of 139 male and female students who were chosen in a random stratified manner from students at the University of Baghdad; College of Education for Pure Sciences/Ibn Al-Haitham - Department of Computer Science. The proposed AI model used two artificial intelligence techniques: Decision tree (DT) and Random Forest (RF). The classification accuracy using DT was 92.85. The RF technique was applied to find the essential features and the Pearson correlation to find the correlation between the features. The results showed that they possess DI, and this can contribute to developing plans and programs to develop it and improve their skills.