Enhancing Expository Writing Through Artificial Intelligence Feedback Systems: A Case Study of Bs Students at Cuvas, Bahawalpur

Abstract

The emergence of Artificial Intelligence (AI) in education has revolutionized the ways students learn to write and receive feedback. This study investigates the impact of AI-based feedback systems on expository writing among BS students at the Cholistan University of Veterinary and Animal Sciences (CUVAS), Bahawalpur. Adopting a quantitative case study design, data were collected from 250 undergraduate students through a 20-item Likert-scale questionnaire covering four dimensions: perceived usefulness, ease of use, learning impact, and challenges. Statistical results revealed that AI-assisted tools significantly improved students’ clarity, grammatical accuracy, and confidence in writing, with perceived learning impact showing the strongest correlation with overall writing improvement. Nevertheless, concerns regarding overreliance, misinterpretation of context, and ethical implications were also noted. The findings conclude that AI-powered feedback systems can be effective supplementary tools for teaching expository writing when integrated with human supervision and pedagogical guidance.