ATTITUDE TOWARDS ARTIFICIAL INTELLIGENCE AS PREDICTOR OF ARTIFICIAL INTELLIGENCE LITERACY AND ACADEMIC ACHIEVEMENT AMONG UNIVERSITY STUDENTS

Abstract

The study aims at attitude towards artificial intelligence as predictor of artificial intelligence literacy and academic achievement among university students. The research design used for the study was a cross-sectional survey. Three hundred university students from all throughout Pakistan participated. The study included 150  male and 150 female participants. The convenient sampling strategy was used to gather data. The General Attitude Towards Artificial Intelligence Scale (Astrid & Paul, 2020) and the Literacy AI subscale of the Artificial Intelligence Student Survey (Dai et al., 2020) were two self-report measures that were employed. Frequency and percentage, correlation analysis, and independent sample t-test were applied for testing the assumptions. The findings revealed that positive attitude towards artificial intelligence was positively related to artificial intelligence literacy and academic achievement whereas negative attitude towards artificial intelligence was negatively related to artificial intelligence literacy among university students. Gender differences revealed that male university students were higher on artificial intelligence literacy as compared to female university students.