Exploring the Impact of Artificial Intelligence-Based Tools on Students’ Reading Motivation at the College Level

Abstract

The integration of Artificial Intelligence (AI)-based tools in education has introduced new possibilities for enhancing students’ learning experiences, particularly in language development and reading engagement. This study explores the impact of AI-based tools on students’ reading motivation at the college level. The research aims to examine how digital platforms, intelligent reading applications, and AI-assisted feedback systems influence students’ interest, engagement, and attitudes toward reading tasks. A quantitative research design was employed, using a structured questionnaire to collect data from college students enrolled in English language courses. The collected data were analyzed using statistical techniques to determine the relationship between AI tool use and students’ reading motivation. The findings indicate a significant positive relationship between AI-based tool usage and students’ reading motivation. Students reported increased interest in reading activities due to interactive features, personalized feedback, and adaptive content provided by AI systems. Additionally, AI tools were found to support self-directed learning and reduce reading anxiety by allowing students to engage with texts at their own pace. However, the study also identifies challenges, including limited access to technological resources and the potential overreliance on AI tools. The results suggest that effectively integrating AI into reading instruction can enhance students’ motivation and engagement when supported by appropriate pedagogical strategies. The study concludes that AI-based tools have the potential to transform reading practices in higher education and recommends their integration into teaching methodologies with proper training and institutional support.

Keywords: Artificial Intelligence, Reading Motivation, College Students, Educational Technology, Language Learning