Impact of Artificial Intelligence on the Hypothetical Performance of Scholars at University Level

Abstract

This research investigates the impact of Artificial Intelligence (AI) tools on the hypothetical performance of postgraduate scholars. Several factors shape academic performance at the university level, and this study focuses on those that influence students’ outcomes and contribute to academic performance. The population consisted of 460 postgraduate scholars, with a sample of 210 drawn from federal public sector universities in Islamabad. Data were collected through a structured questionnaire and analyzed using inferential statistics (?² test). Findings reveal that AI tools significantly enhance students’ problem-solving skills, which positively affect their hypothetical academic performance. Based on these results, the study recommends that academicians actively integrate AI tools into teaching and mentoring practices to strengthen students’ academic development and overall performance at the university level.