打破障碍:通过云平台和基于课程的本科研究扩大神经科学教育
Franco Delogu1, Chantol Aspinall1, Kimberly Ray2
1Department of Humanities, Social Sciences and Communication, Lawrence Technological University, Southfield, MI, United States.
Frontiers in neuroinformatics
|July 31, 2025
概括
云计算平台通过计算研究经验增强本科神经科学教育. 这种方法使先进的脑成像分析和假设测试对学生缺乏先前研究暴露的访问民主化.
科学领域:
- 神经科学是一个神经科学.
- 计算生物学 计算生物学
- 教育技术的教育技术
背景情况:
- 传统的本科研究经验往往缺乏可扩展性和包容性.
- 许多学生对先进的神经科学研究工具和数据集的访问是有限的.
- 弥合课堂学习和真实研究之间的差距对于STEM教育至关重要.
研究的目的:
- 评估云计算平台与基于课程的本科研究经验 (CUREs) 的整合,用于神经科学教育.
- 为本科生扩大对计算神经科学研究的机会.
- 评估基于云的CURE模型在培养基于假设的研究技能方面的有效性.
主要方法:
- 在四个春季学期 (2021-2024) 中使用brainlife.io云平台实施了计算神经科学CUREs,与42名本科生合作.
- 学生们对包括MRI数据在内的开放访问数据集进行了解剖学和功能性脑成像分析.
- 该课程从数据处理到对年龄,性别和病理等因素的假设测试都取得了进展.
主要成果:
- 学生成功地使用现实世界的数据集对大脑结构变异进行了原始假设测试.
- 基于云的CURE模型为以前经验有限的学生提供了基于问题的实践学习.
- 参与者通过在研究活动上的演讲来培养科学沟通技巧.
结论:
- 将云计算与CUREs集成,有效地使神经科学教育民主化.
- 这种模型可以在没有广泛的实验室设施或先前经验的情况下进行先进的计算研究.
- 该方法促进本科生原创研究,并提高了STEM的包容性.
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