重新定义评估任务,以促进学生的创造力和诚信在生成人工智能时代
Martine Peters1, Dimitar Angelov2
1Department of Education, Université du Québec en Outaouais, Gatineau, Canada.
概括
生成型人工智能 (GenAI) 需要新的评估策略. 拟议的人工智能时代的学术诚信和创造力 (AICAI) 模型使用真实评估来促进高等教育中的学生创造力和学术诚信.
科学领域:
- 高等教育教学的教学.
- 教育技术的教育技术
- 学术诚信 学术诚信
背景情况:
- 生成型人工智能 (GenAI) 对传统的评估方法提出了挑战.
- 确保学生的独创性和学术完整性是教育工作者日益关注的问题.
- 整合GenAI需要在分配设计和评估中进行调整.
研究的目的:
- 提出人工智能时代的学术诚信和创造力 (AICAI) 模型.
- 利用真实的评估策略来促进学生的创造力和诚信.
- 为教育工作者提供一个框架,以便在GenAI时代适应评估实践.
主要方法:
- 开发AICAI模型,整合教学理论和研究.
- 对关键评估组件的分析:讲师特征,目标,评估类型,GenAI使用,任务设计和标准.
- 专注于真正的评估任务,旨在让学生参与并减轻抄袭行为.
主要成果:
- AICAI模型提供了一种系统方法来设计促进诚信和创造力的评估.
- 确定GenAI在高等教育中的挑战和机遇.
- 为减轻风险和最大限度地利用GenAI进行评估提供了实用建议.
结论:
- 根据AICAI的模型,为了应对GenAI,需要创新的评估策略.
- 真正的评估是一种可行的方法,可以增强学生的创造力,维护学术诚信.
- 教师可以通过深思熟虑的评估设计,有效地导航GenAI对高等教育的影响.
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