An Exploratory Single-Case Study Unveiling the Promise of Artificial Intelligence in Aviation Education

Abstract

Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.

Higher education institutions continuously seek ways to improve teaching methods and enhance student learning experiences by leveraging emerging technologies in the classroom. One such technology is ChatGPT, an artificial intelligence (AI) application. The integration of this AI technology in aviation education has the potential to transform teaching and learning experiences. This study aims to investigate the acceptance and integration of ChatGPT in aviation education and understand the benefits and challenges associated with integrating such technology. The study employs a mixed methods approach, combining qualitative focus group discussions with aviation professors and a quantitative survey administered to students. The study included a total of 50 participants. The qualitative sample consisted of four aeronautical science professors with varying course expertise. The study's quantitative portion comprised 46 undergraduate students enrolled in the aeronautical science degree program. The participants were selected from two upper-level writing-intensive courses, aviation legislation and the senior capstone course. The qualitative findings highlight the potential benefits of AI, including personalized learning experiences, exposure to diverse educational resources, enhanced research capabilities, and interactive learning opportunities. However, concerns were raised regarding the dependency on AI, the limitations of AI-generated feedback, and the potential reduction of individualized guidance from educators. The quantitative results indicate a significant positive impact of AI on students' learning experiences, critical thinking skills, and learning outcomes. Students reported that AI-assisted learning enhanced their engagement, comprehension, and ability to synthesize large amounts of data. However, some students expressed reservations about overreliance on AI and the potential limitations and biases associated with AI systems. This study highlights the need to strike a balance between the benefits of AI and the preservation of meaningful instructor-student interactions. Future research directions include investigating the long-term impact of AI integration in aviation education, examining the alignment of learning outcomes with AI implementation, and redefining instructional strategies to integrate AI tools effectively.

Authors

• Albelo, Jorge L. D., Ph.D. Embry-Riddle Aeronautical University
• McIntire, Stacey, M.S., M.A. Embry-Riddle Aeronautical University

Keywords

• Artificial Intelligence
• Aviation Education
• Perceptions
• Technology
• Aviation
• Educational Methods
• Higher Education
• Higher Education and Teaching