通过团队学习教授Python:使用基于云的笔记本进行交互式编码教育
Nuno S Osório1,2, Leonardo D Garma3
1Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.
FEBS open bio
|August 12, 2025
概括
这项研究增强了生物医学学生的生物信息学教育,使用基于团队的学习 (TBL) 和交互式Python笔记本. 混合方法提高了学生对计算生物学工具的参与度和信心.
科学领域:
- 生命科学教育教育 生命科学教育
- 生物信息学培训 生物信息学培训
- 计算生物学 计算生物学
背景情况:
- 计算机编程和生物信息学对于分析生命科学中的大型"omics"数据集至关重要.
- 由于缺乏先前的数学或计算背景,学生们经常面临学习这些主题的挑战.
- 传统的教学方法可能无法充分解决计算生物学教育中的技术障碍.
研究的目的:
- 在生物医学教育中解决编程和生物信息学教学方面的挑战.
- 通过使用创新的教学方法,增强学生在生物信息学中的参与,理解和协作.
- 评估一种混合学习方法,将基于团队的学习 (TBL) 与云托管的交互式Python笔记本结合起来.
主要方法:
- 集成的基于团队的学习 (TBL) 与云托管的交互式Python笔记本为士级生物医学学生.
- 开发了四个互动笔记本,涵盖了Python基础知识和生物信息学应用程序 (从数据操纵到多omics分析).
- 利用GitHub和谷歌协作平台提供可访问,无障碍的教育材料云托管.
主要成果:
- 在TBL课程期间,学生对交互式笔记本有很高的参与度.
- 这种方法促进了对Python编程的兴趣增加,并增加了对使用生物信息学工具的信心.
- 学生的反表明了TBL和交互式笔记本在丰富学习体验方面的价值.
结论:
- 一个混合的,基于云的TBL方法有效地提高了生物信息学教育的可访问性和参与度.
- 这种方法显示了改善各种生命科学学科的计算培训的潜力.
- 需要进一步的研究来收集更多的有效性证据,并探索生物信息学研究技能的发展.
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