Exploring Aviation Students’ Perceptions and Attitudes toward Generative AI Integration in Education: A Case Study of the College of Aviation Development and Training, Dhurakij Pundit University

Abstract

          This research aimed to (1) analyze the perceived impacts, attitudes, and needs of the aviation students regarding the use of Generative Artificial Intelligence (GenAI) in education, and (2) propose policy recommendations for promoting the ethical and sustainable application of GenAI in aviation-related learning. This study utilized a survey research methodology. The population consisted of 244 undergraduate students from the College of Aviation Development and Training, Dhurakij Pundit University, who enrolled in Year 1-4. The research instrument used in this study was a questionnaire. The questionnaire was validated for content validity and reliability. Data were collected through an online survey and analyzed using descriptive statistics, including mean scores, standard deviations, and interpretation of response levels.

           The findings revealed that (1) the aviation students reported high levels of their perceived benefits and positive attitudes toward using GenAI, while their concerns related to ethical issues, academic integrity, and information accuracy were at moderately high levels. Students also expressed relatively high satisfaction and perceived effectiveness regarding commonly used GenAI tools, particularly ChatGPT and Gemini. In terms of additional support needs, there was a need for Pro-level Generative AI tools and additional training. (2) Based on the findings, the study proposes policy recommendations emphasizing the integration of AI Literacy Across Curriculum, complemented by practice-based learning activities and clear AI Ethics Guidelines. These steps aim to help aviation students use GenAI responsibly, critically, and meaningfully, ultimately enhancing the success and longevity of AI-enabled learning in aviation education.