共变推理和项目上下文影响语言在本科质量平衡书面解释
Megan Shiroda1, Jennifer H Doherty2,3, Emily E Scott4
1CREATE for STEM Institute, Michigan State University, East Lansing, Michigan, United States.
Advances in physiology education
|August 24, 2023
概括
学生的语言在质量平衡 (MB) 推理中变得越来越相似和具体,随着科学思维技能的增加. 讲师应该培养语境独立的语言,以改善MB和共变推理.
科学领域:
- 科学教育研究科学教育研究
- 认知科学是一种认知科学.
- 生理学 生理学 生理学
背景情况:
- 质量平衡 (MB) 推理对于科学思维至关重要,要求学生跟踪系统的输入和输出.
- 共变推理,即理解变量如何共同变化的能力,是MB的组成部分.
- 之前的研究强调了 MB 和共变推理在科学教育中的重要性.
研究的目的:
- 分析学生语言在MB任务中的不同级别的共变推理中如何演变.
- 调查特定生理环境对学生在MB解释中使用的语言的影响.
- 识别在更高的推理水平上,在不同环境中保留的语言模式.
主要方法:
- 对1920个学生对验证的MB提示构建的响应 (CRs) 的分析.
- 基于共变推理的新兴学习进展的响应分类 (1-4级).
- 在六个生理学环境中应用多样性和文本分析方法.
主要成果:
- 随着共变推理水平的提高,学生的语言变得更加相似.
- 在每个推理级别确定了特定于上下文的单词,而4级响应使用了精确的输入/输出术语.
- 在4级,30%的语言是跨语境共享的,包括"率"和"平等"等语境独立的术语.
结论:
- 语境显著影响本科MB语言,但语言变得更具体,并在更高的推理水平上共享.
- 建议促进独立于上下文的比较和总结语言,以改善MB和共变推理.
- 该研究为教育工作者提供了洞察力和工具,以提高学生在质量平衡中的科学推理技能.
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