Analysis of High School Students' Thinking Styles Towards Artificial Intelligence (AI)

Abstract

The rapid development of artificial intelligence (AI) presents both challenges and opportunities for education, requiring students to develop critical and adaptive thinking skills to utilize it effectively. Students' thinking styles, defined as individual tendencies in processing information and solving problems, are a critical factor in assessing their ability to interact optimally with AI. One way to determine the characteristics of students is the style in which they think. Thinking styles can be divided into two types, namely convergent and divergent. This study aims to analyze the correlation between thinking styles and the gender of 11^th-grade students at a senior high school in the city of Yogyakarta. The sample in this study included 102 students. The instrument used was a closed-thinking style questionnaire. The data analysis technique used are Z Test and Chi-Square Test. The results of the study show that the thinking style of the male students are more divergent, meanwhile the female students are more convergent.  The Phi value is 0.269 and a significance (P Value) is 0.007 it showed that there is a correlation between thinking style and the gender of students. Results of this study reflect that there is a great impact of gender to thinking styles.