A team at Xi’an Jiaotong-Liverpool University conducted a questionnaire study with 148 engineering students across China. They evaluated frequency, application scenarios, and perceived impacts of generative AI tools. Findings indicate that most students report enhanced learning efficiency, initiative, independent thinking, and creativity when using AI for tasks such as report writing, data analysis, and concept clarification.
Key points
- Survey of 148 Chinese engineering students assessed generative AI’s frequency and application scenarios.
- Reliability (Cronbach’s α=0.879) and validity (KMO=0.867, Bartlett’s p<0.001) confirm robust survey design.
- 88.5% report improved learning efficiency; 64.2% increased initiative; 47.97% enhanced independent thinking.
Why it matters: This study demonstrates that responsibly integrated generative AI can transform engineering education by significantly enhancing student efficiency, motivation, and critical thinking.
Q&A
- What is generative AI?
- How was the student survey validated?
- Why do some students report no performance improvement?