The Impact of Artificial Intelligence on University Students Learning at Affilated Graduate Colleges

Abstract

Artificial intelligence (AI) had emerged as a transformative force in higher education, offering new possibilities for personalized learning, student engagement, and academic support. This study investigates the impact of AI on students’ learning at affiliated graduate colleges in Kasur, Pakistan, with particular focus on academic performance, engagement, creativity, critical thinking, and problem-solving skills with AI use. A quantitative, descriptive research design was employed. Data was collected through a structured questionnaire comprising 20 items based on a five-point Likert scale. Using random sampling, responses were obtained from 200 male and female students enrolled in various undergraduate and postgraduate programs at affiliated graduate colleges in Tehsil Pattoki and Chunia. The collected data were analyzed using SPSS version 26, applying descriptive statistics, independent sample t-tests, ANOVA, and Pearson correlation. The findings reveal that most students are familiar with AI. Results indicate that AI positively influences students overall academic outcomes. A significant positive correlation (r = .612, p < .05) was found between students’ perceptions of AI and their learning outcomes. The study concludes that while AI has a significant and positive impact on university students’ learning specifically at affiliated graduate colleges, its integration must be balanced with human interaction and guided by ethical considerations. The findings offer future researchers to ensure effective and responsible use of AI in higher education.

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