Artificial intelligence and its relationship to brainstorming among university students

Abstract

Amid the vast wave of global technological advancements across political, economic, social, and educational fields, artificial intelligence has experienced a renewed surge, driven by its success in numerous real-life applications. AI simulates the knowledge and analytical skills of one or more human experts and has become one of the most prominent topics in contemporary research, particularly in the educational domain. This connection appears clearly in educational applications that aim to enhance students’ learning experiences by analyzing learners’ behaviors and needs. Through such analysis, AI can provide personalized instructional tools that contribute to improving academic performance. Although AI parallels human thinking in performing certain tasks, its excessive use may negatively affect human cognitive abilities, especially brainstorming, which is considered a key strategy for generating new ideas and solving problems within educational settings. The present study aimed to identify the level of artificial intelligence among university students, examine their level of brainstorming skills, and determine the relationship between the two variables. The sample consisted of 200 male and female students. A one-sample t-test and Pearson correlation coefficient were used for data analysis. The statistical results revealed an inverse relationship between the two variables; that is, higher levels of artificial intelligence were associated with lower levels of brainstorming skills among students. Based on these findings, the researcher presented several recommendations and suggestions.