Artificial Intelligence (AI) is a man-made thinking power given to machines. It enables computers to think, learn, and make decisions like humans. AI helps machines perform tasks like problem-solving, understanding language, and analyzing data. In recent years, Generative Artificial Intelligence (AI) has emerged as one of the most influential technological advancements, significantly transforming various sectors such as healthcare, finance, governance, and especially education. This study aims to explore the Students’ perception and usage of Generative AI in Education. The total sample size selected for the study is 200 respondents. The study is conducted among college students in selected district Western Tamilnadu – 50 students from each district of Erode, Namakkal, Salem and Tirupur. The major finding of the study where the majority of the students came to know about Generative AI through social media and they are using free mode of Generative AI through their Mobile phone. The majority of the students agrees that Easy to use and understand is the main factors for influencing the use of AI. The study suggest that since a large number of students depend on AI for learning and assignments, educational institutions should encourage guided usage of AI tools to avoid over- dependence and to promote critical thinking skills. Since peer influence (friends’ usage) affects AI adoption, institutions can promote peer learning and collaborative AI usage practices for academic purposes. Since students primarily use mobile devices for accessing AI tools, developers’ and educators should ensure mobile-friendly learning platforms and applications for better accessibility. This study conclude that the chi-square analysis reveals that demographic factors such as age, gender, and first graduate status significantly influence the use and perception of AI, whereas district wise differences are not significant. This suggests that AI adoption is more influenced by individual characteristics rather than geographical location.
Article DOI: 10.62823/IJARCMSS/9.2(III).9079