Chat-attitude of Students: Academic Disciplines and Education Levels as Predictors of AI Chatbot Usage

Abstract

The purpose of the current study is to investigate the academic disciplines and education levels as factors influencing the attitude of students toward the use of AI chatbots. The aim is to compare the difference in the mean of chat-attitude scores across academic disciplines and across the education levels of college students using AI chatbots. The research gap arises in how academic disciplines and education levels shapestudents' chat-attitude. The present study employed a quantitative cross-sectional survey involving a sample of 501 college students using an online snowball sampling method. A validated self-structured questionnaire was used to collect data, and ANOVA was applied for data analysis. The results demonstrate a statistically significant difference in chat-attitude across academic disciplines and education levels. The study concludes that academic discipline is a humble predictor of chatattitude and drives differences in chatbot use in academia.

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