A Study on Students Perception and Adoption of Ai-based Learning Applications: an Empirical Study among College Students

Abstract

Artificial Intelligence (AI) has emerged as an important technological advancement in modern education, transforming the way students obtain information, understand academic concepts, and engage in learning activities. AI-based learning applications, including AI chatbots, personalized learning platforms, intelligent tutoring systems, automated writing assistants, and other educational tools, are increasingly being adopted by college students for academic purposes. This study aims to examine students’ perceptions and adoption of AI-based learning applications and to identify the major factors influencing their willingness to use these technologies in their studies. The study focuses on students’ level of awareness, frequency of usage, perceived usefulness, ease of use, trust, learning effectiveness, and challenges associated with AI-based educational applications. A descriptive research design may be adopted to achieve the objectives of the study. Primary data can be collected from college students through a structured questionnaire, while secondary information can be obtained from journals, books, research reports, and reliable websites. Convenience sampling may be used for selecting respondents. The collected data can be analyzed using percentage analysis and the Chi-square test. The study is expected to provide useful insights into students’ acceptance, attitudes, and experiences regarding AI-based learning applications and highlight the potential role of AI in making higher education more effective, flexible, accessible, and student-centered.