导航AI辅助学生作业的前沿:挑战,技能和解决方案
Suzanne Estaphan1, David Kramer2, Harry J Witchel3
1School of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australia.
Advances in physiology education
|April 25, 2025
概括
在人工智能 (AI) 时代,教育工作者可以通过培养AI素养和优先考虑过程而不是结果来设计有效的带回家评估. 策略包括通过无人工智能评估验证学习,并促进人类-人工智能合作,以实现真实的学习.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 评估设计 评估设计
背景情况:
- 人工智能 (AI) 正在迅速改变教育实践,特别是在学生评估方面.
- 人工智能既提供了学习支持的机会,也给学术诚信和批判性思维带来了挑战.
- 教师需要有效的策略来保持严格和道德的评估在AI时代.
研究的目的:
- 为教育工作者提供关于在人工智能时代设计带回家评估的实际指导.
- 开发一个框架来导航AI在教育评估中的复杂性.
- 确保评估促进更高层次的认知技能和真实的学习.
主要方法:
- 一个协作,共识驱动的过程,涉及具有不同背景和经验的教育工作者.
- 通过虚拟会议和线下讨论反复改进建议.
- 为AI时代的评估设计制定四项关键建议.
主要成果:
- 设计人工智能时代带回家评估的四个关键建议是: 1) 共同开发人工智能素养, 2) 优先考虑过程而不是产出, 3) 通过无人工智能评估验证学习, 4) 发展人工智能沟通和协作技能.
- 战略强调道德的人工智能使用,个性化反和创造力.
- 该框架可以适应各种教育环境.
结论:
- 教师可以通过实施拟议的策略,有效地平衡AI在评估中的好处和风险.
- 这些方法促进了真实的学习,批判性思维和道德的人工智能使用.
- 该指导准备学生为人工智能驱动的未来,同时维护学术严谨性和诚信.
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