在学习设计实践中生成人工智能:为生物医学科学研究计划建立在线课程
Divya Suresh1, Melis Dilek2, Aliye Karabulut-Ilgu3
1Ph.D. student in the Human-Computer Interaction program at lowa State University. Her research explores the use of Artificial Intelligence in education.
International journal of designs for learning
|March 9, 2026
概括
生成型人工智能 (GenAI) 工具增强了生物医学科学在线课程开发,提高了效率. 人类监督确保了以人为中心的设计符合伦理考虑和教学需求.
科学领域:
- 生物医学科学教育教育教育教育
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 为生物医学科学研究培训开发自主节奏的在线课程需要创新的教学设计.
- 整合像生成人工智能 (GenAI) 这样的新兴技术在课程创作中带来了机遇和挑战.
研究的目的:
- 记录将GenAI工具集成到开发生物医学科学程序评估自动步调在线课程的设计案例.
- 探索使用GenAI作为教学设计中的共同思想者,平衡创新与道德责任和教学需求.
主要方法:
- 使用GenAI工具 (ChatGPT,Copilot,Gemini,Audiate) 进行内容构想,脚本编写,音频叙述和评估创作等任务.
- 采用以人为中心的方法,设计师做出明智的决策,并解决诸如偏见和可访问性等道德问题.
- 专注于教学调整,修订学习目标和开发更高层次的学习成果的AI辅助评估.
主要成果:
- GenAI工具在教学设计的各个阶段提供了帮助,提高了内容开发和多媒体脚本编写的效率.
- 进行了深思熟虑的设计选择,以确保人工智能产生的内容在教学上是合理的,并且在道德上是负责任的.
- 整合过程强调了人类监督在利用GenAI能力方面的重要性.
结论:
- 基因人工智能可以显著提高生物医学科学在线教育材料开发的效率.
- 成功的整合需要以人为中心的方法,优先考虑道德考虑,可访问性和教学有效性.
- 未来开发人工智能辅助教育工具的重点应该是无的人类-人工智能协作和负责任的实施.
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