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Generative AI in Engineering Education: A Survey of Student and Instructor Usage and Attitudes
DescriptionDespite the growing adoption of Generative AI tools in education, there is still limited understanding of how students and instructors use these technologies, and of their attitudes and concerns, particularly around academic integrity. This study examines the usage patterns and perceptions of Generative AI tools among students and instructors in engineering education through targeted questionnaires hosted on Qualtrics. Separate instruments were developed for each group to capture their unique experiences and viewpoints. Descriptive statistics, including frequencies and percentages, were used to summarize perceptions and usage patterns.

Findings of this study reveal a gap in the adoption and integration of Generative AI tools between students and instructors in engineering education. Students reported higher levels of familiarity and engagement with these tools, while instructors showed reluctance to incorporate them into teaching practices. This reflects different perspectives on academic integrity: students emphasized the accuracy and practical benefits of AI tools, whereas instructors focused more on potential risks and controls. Addressing this gap will help the development of AI-related policies and practices, promoting the integration of AI tools in education while ensuring academic integrity.