研讨会的观点:人工智能时代的智能评估
Matt Bawn1, Nigel Francis2, Elizabeth Alvey3
1Newcastle University, Newcastle, United Kingdom.
Advances in physiology education
|November 14, 2025
概括
生成型人工智能 (GenAI) 提供了开发学习资源和让学生参与生物学教育的新方法. 教师可以使用GenAI进行真实的评估,将重点转移到学习过程中,同时解决AI的局限性.
科学领域:
- 生物科学教育教育 生物科学教育
- 高等教育教学的教学.
- 教育技术的教育技术
背景情况:
- 生成型人工智能 (GenAI) 正在迅速影响高等教育,特别是在生物科学领域.
- 生物科学中的传统书面评估面临挑战,因为GenAI的文本生成能力.
- 为了应对GenAI,越来越需要创新的教学策略和评估方法.
研究的目的:
- 探索GenAI在生物学教育中的创新应用.
- 为了说明GenAI如何提高学术活动和学生参与度.
- 讨论转向以过程为导向的学习和真实的评估的转变.
主要方法:
- 分析了生物教育中GenAI研讨会的案例研究.
- 研究了GenAI在资源开发和积极学习方面的创新应用.
- 讨论了GenAI在教育环境中的潜力和局限性.
主要成果:
- 通过积极学习,GenAI可以增强学习资源开发和学生参与度.
- 案例研究表明,GenAI在创建定制测试和促进互动方面具有实用性.
- 从面向产品到面向流程的评估的转变是由GenAI促进的.
结论:
- 当经过深思熟虑地实施时,GenAI有可能显著提高生物学教育.
- 解决对原创性,准确性和创造性的担忧对于有效的整合至关重要.
- 基因人工智能应该增强,而不是取代传统的教学方法,确保学术完整性.
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