Educational impacts of generative artificial intelligence on learning and performance of engineering students in China
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Abstract (arXiv)
With the rapid advancement of generative artificial intelligence(AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions across China used generative AI, focusing on its impact on their learning experience and the opportunities and challenges it poses in engineering education. Based on the surveyed data, we explored four key areas: the frequency and application scenarios of AI use among engineering students, its impact on students' learning and performance, commonly encountered challenges in using generative AI, and future prospects for its adoption in engineering education. The results showed that more than half of the participants reported a positive impact of generative AI on their learning efficiency, initiative, and creativity, with nearly half believing it also enhanced their independent thinking. However, despite acknowledging improved study efficiency, many felt their actual academic performance remained largely unchanged and expressed concerns about the accuracy and domain-specific reliability of generative AI. Our findings provide a first-hand insight into the current benefits and challenges generative AI brings to students, particularly Chinese engineering students, while offering several recommendations, especially from the students' perspective, for effectively integrating generative AI into engineering education.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 3 of its 64 references that are in the map. First posted on arXiv 14 May 2025.
Builds on
3 of 64 references.
References · 3
- 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
- 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 619
- 2022What Does it Mean for a Language Model to Preserve Privacy?cited by 195
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.