在高等教育中整合人工智能产生的内容工具:跨学科学习成果的比较分析
1Law and Public Management School, Leshan Normal University, Leshan, 614000, Sichuang, China.
Scientific reports
|July 16, 2025
概括
在高等教育中整合人工智能产生的内容 (AIGC) 工具将跨学科项目提升37%. 战略实施是关键,但像偏见和公平这样的挑战需要注意有效的AI-人类合作.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 高等教育教学的教学.
背景情况:
- 高等教育机构正在探索整合人工智能产生的内容 (AIGC) 工具.
- 了解AIGC对跨学科学习和技能发展的影响至关重要.
研究的目的:
- 分析各种学科AIGC工具的实施模式和学习成果.
- 评估AIGC在促进跨学科合作和知识整合方面的有效性.
主要方法:
- 采用混合方法方法,分析了人文,STEM和社会科学课程的数据.
- 实施策略和学习成果在数量和质量上得到了评估.
主要成果:
- 战略AIGC实施导致跨学科项目成果增加了37%.
- 根据实施方法,有效性差异很大,突出了对量身定制策略的需求.
- AIGC工具有助于打破学科隔,并支持多样化的学习偏好.
结论:
- 建议修订人工智能与人类在知识生产中的合作框架.
- 政策建议侧重于治理,学术诚信,教师共同设计和实践社区.
- 解决算法偏见和数字公平等挑战对于公平的AIGC集成至关重要.
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