Usage and Implications of Artificial Intelligence for Research Purposes at University Level

Abstract

AI is a complex form of research that aims to enable machines to act, behave, and make decisions like humans. As advances in computing and Information Communication Technologies (ICT) continue, there is a gradual shift towards designing and designing computer systems and devices with human-like dimensions and functionality that make them more impactful. The method chosen for this study is quantitative research. The area where new technologies were using AI tools was those using learning analytics. The method of data collection was a survey questionnaire based on Google as a method of data collection based on closed questions. The questionnaire design followed several assumptions such as linear, multiple questions, etc. The method used for data analysis included descriptive statistical analysis, correlation, and regression analysis. Furthermore, statistical evidence has shown that AI tools can be widely used for research purposes. This study offers suggestions to university students that they can use AI tools effectively in their studies in universities, either by increasing their awareness and trying to adopt AI technologies or by ensuring that they carry technological tools a large face will dominate the role. University IT departments should collaborate with students to set up AI labs and strengthen virtual labs.