Artificial Intelligence and the Erosion of Student Effort A Critical Analysis of Research Dependency and Diminishing Critical Thinking in Pakistani Universities

Abstract

Over the past few years, AI-driven tools from large language models to automated writing platforms and AI-enhanced search engines have quietly but profoundly reshaped how students in Pakistani universities go about their academic work. The convenience these tools offer is undeniable, yet something troubling is happening beneath the surface. Students are increasingly outsourcing their thinking. They submit AI-generated responses without wrestling with the material themselves, and in doing so, they may be forfeiting the cognitive struggle that genuine learning demands. This study looks directly at that problem. Drawing on survey data from 412 undergraduate and postgraduate students across five Pakistani universities, collected through a validated 60-item questionnaire on a 9-point Likert scale, the research examines how AI usage patterns relate to student research effort, critical thinking, and academic originality. The results are sobering: habitual AI use is significantly and negatively associated with all three outcomes. These findings make a case for institutions to move urgently to develop AI literacy curricula, rethinking assessment design, and crafting policy frameworks that encourage students to engage with ideas rather than simply retrieve them.

Keywords: Artificial Intelligence, student effort, critical thinking, academic dependency, research skills, Pakistani universities, AI literacy, higher education