COMPARING DUOLINGO AI AND CHATGPT AS SELF-STUDY TOOLS FOR NON-ENGLISH MAJOR STUDENTS IN HO CHI MINH CITY

Abstract

This study compares two artificial intelligence tools that support self-learning of foreign languages, namely ChatGPT and Duolingo AI, with non-English-major students in Ho Chi Minh City. Based on the adjusted UTAUT2 theoretical framework, five factors affecting Behavioral intention (BI) - Performance expectancy (PE), Effort expectancy (EE), Hedonic motivation (HM), Price value (PV) and Facilitating conditions (FC) were assessed through a survey of 80 students. Analysis by Cronbach's Alpha, EFA, multivariate linear regression and Independent Samples T-test showed that HM, PE, and FC had a positive and statistically significant impact on BI, while EE and PV were negligible. The results also show that ChatGPT excels in PE and EE, while Duolingo AI is strong in HM and FC thanks to gamification. These findings reinforce the value of UTAUT2 and suggest a combination of the two tools to both improve efficiency and maintain academic motivation for non-professional students.