在一般化学课程中研究学生对科学态度的演变,使用隐性类和隐性过渡分析
Oluwatobi O Odeleye1, Oluwaseun D Agunbiade1, Adam Garber2
1Department of Chemistry, West Virginia University, Morgantown, West Virginia 26505, United States.
Journal of chemical education
|May 19, 2025
概括
这项研究使用了隐性类分析来追踪大学生科学态度和对一般化学的自我信念的变化. 结果显示了学生群体的转变,突出显示了某些人口统计学特征在持久性较低的群体中是如何过分代表的.
科学领域:
- 在STEM教育研究研究中.
- 量化心理学 量化心理学
- 高等教育 高等教育
背景情况:
- 学生在科学,技术,工程和数学 (STEM) 领域的坚持是研究的一个关键领域.
- 情感领域,包括态度和自我效能,显著影响学生在STEM中的留学.
- 混合建模方法,如隐性类分析 (LCA) 和隐性过渡分析 (LTA),为定量数据提供以人为中心的见解.
研究的目的:
- 在一个学期内调查学生对一般化学科学态度的演变.
- 利用LCA和LTA来根据他们的科学态度和自我信仰来识别不同的学生群体.
- 探索这些不断变化的学生群体内的人口差异,以告知STEM的多样化努力.
主要方法:
- 使用隐性类分析 (LCA) 和隐性过渡分析 (LTA) 以以人为中心的方法.
- 管理了对科学库存的修改态度 (mATSI) 进行学期前后数据收集.
- 根据mATSI的响应,将学生分成不同的隐性类,以跟踪随时间的变化.
主要成果:
- 确定了三个初始的学生群体:高高 (欲望/自信),mod-low (适度的欲望/低自信) 和mod-mod (适度的欲望/适度的自信).
- 观察到这些群体在学期末的转变:高-高,高-低 (欲望/低自信),低-低 (低欲望/低自信).
- 发现了人口相关性:女性和二年级学生在持久性较低的群体中占有过多的比例,而男性和一年级学生在持久性较高的群体中占有过多的比例.
结论:
- 学生的态度和对科学的自信在一般化学课程中显著发展.
- LCA和LTA可以揭示子组,如"高-低"和"低-低"组,通常在大多数发现中被掩盖.
- 调查结果强调需要采用量化方法,突出代表性不足的群体,以促进STEM教育的公平.
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