生成型人工智能对中国工程学生学习和表现的教育影响
Lei Fan1, Kunyang Deng2, Fangxue Liu2
1Department of Civil Engineering, Design School, Xi'an Jiaotong-Liverpool University, Suzhou, China. Lei.Fan@xjtlu.edu.cn.
Scientific reports
|July 21, 2025
概括
生成型人工智能 (AI) 对中国工程学生的学习效率和创造力产生了积极的影响. 然而,对准确性和学术表现不变的担忧凸显了将AI整合到高等教育中的挑战.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 工程教育 工程教育教育
背景情况:
- 生成型人工智能 (AI) 正在迅速发展,促使人们探索其在高等教育中的作用.
- 了解学生的采用和影响对于有效的融合至关重要.
研究的目的:
- 在148名中国工程学生中调查生成性AI使用情况.
- 分析生成性AI对工程教育学习经验,机遇和挑战的影响.
主要方法:
- 基于对148名工程专业的学生进行的调查调查,涉及中国各个学科和地区.
- 分析人工智能使用频率,应用场景,学习影响,遇到的挑战和未来前景.
主要成果:
- 超过50%的人报告说对学习效率,主动性和创造力产生了积极影响;近50%的人指出加强了独立思维.
- 尽管效率有所提高,但许多学生在学业表现上没有明显的变化.
- 人们对生成性AI工具的准确性和特定领域的可靠性表示担忧.
结论:
- 生成型人工智能为学生的学习提供了好处,但在准确性和性能影响方面存在挑战.
- 学生的观点对于开发有效的战略,将生成AI整合到工程课程中至关重要.
- 从以学生为中心的角度提供了优化高等教育中生成性AI采用的建议.
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