在中国大学生中发展和影响人工智能素养和计算思维的因素
Zhihua Hu1, Huili He2, Chunqu Zhang3
1School of Computer, Huanggang Normal University, Hubei, 438000, Huanggang, China.
Scientific reports
|November 29, 2025
概括
人工智能 (AI) 素养和计算思维 (CT) 素养在中国本科生中显示出小但显著的积极联系. 存在学科差异,工程学生在算法思维方面强大,文科学生在人机协作方面强大.
科学领域:
- 教育技术的教育技术
- 人工智能识字 人工智能识字
- 计算思维 计算思维
背景情况:
- 中国"四大新"专业的本科生越来越多地接触到AI和CT概念.
- 了解人工智能素养和CT之间的相互作用对于未来的劳动力发展至关重要.
研究的目的:
- 调查中国本科生中AI素养和CT素养的发展状况.
- 确定影响AI和CT素养的因素,包括学科背景和AI工具使用情况.
- 探索AI素养和CT素养之间的关联.
主要方法:
- 对中国"四大新"专业的本科生进行了问卷调查.
- 使用了包括t测试,ANOVA和Pearson相关性在内的统计分析.
- 理论框架:技术接受模型,社会认知理论和建构主义学习理论.
主要成果:
- 在AI素养和CT素养尺寸之间发现了统计学上显著的积极关联,尽管效果大小很小.
- 智能思维显示了与批判性思维的最强的关联,需要谨慎的解释.
- 出现了学科差异:工程专业的学生在算法思维方面表现出色,而文科专业的学生在人机协作方面表现出优势.
- 在人工智能工具使用频率方面观察到群体平均差异,潜在的非线性模式需要进一步调查.
结论:
- 人工智能素养和CT素养似乎共同发展,但它们的协会的实际含义有限.
- 研究结果表明,需要专门针对学科的差异化教育策略,以提高高等教育中的AI和CT素养.
- 建议进行进一步的研究,以探索非线性关系,并完善教育干预措施.
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