CREATE for STEM Institute, Michigan State University, East Lansing, Michigan, United States.
Department of Physiology, Michigan State University, East Lansing, Michigan, United States.
Adv Physiol Educ. 2023 Dec 1;47(4):762-775. doi: 10.1152/advan.00156.2022. Epub 2023 Aug 24.
Mass balance (MB) reasoning offers a rich topic for examination of students' scientific thinking and skills, as it requires students to account for multiple inputs and outputs within a system and apply covariational reasoning. Using previously validated constructed response prompts for MB, we examined 1,920 student-constructed responses (CRs) aligned to an emerging learning progression to determine how student language changes from low (1) to high (4) covariational reasoning levels. As students' abilities and thinking change with Context, we used the same general prompt in six physiological contexts. We asked how Level and Context affect student language and what language is conserved across Contexts at higher reasoning Levels. Using diversity methods, we found student language becomes more similar as covariational reasoning level increases. Using text analysis, we found context-dependent words at each Level; however, the type of context words changed. Specifically, at Level 1, students used context words that are tangential to MB reasoning, while Level 4 responses used words that specify inputs and outputs for the given Item Context. Further, at Level 4, students shared 30% of language across the six contexts and leveraged context-independent words including , , and some form of . Together, these data demonstrate that Context affects undergraduate MB language at all covariational reasoning levels, but that the language becomes more specific and similar as Level increases. These findings encourage instructors to foster context-independent, comparative, and summative language during instruction to functionally build MB and covariational reasoning skills across contexts. This article builds on the work of Scott et al. (Scott EE, Cerchiara J, McFarland JL, Wenderoth MP, Doherty JH. 1: 37, 2023) and Shiroda et al. (Shiroda M, Fleming MP, Haudek KC. 8: 989836, 2023) to quantitatively examine student language in written explanations of mass balance across six contexts using constructed response assessments. These results present an evaluation of student mass balance language and provide researchers and practitioners with tools to assist students in constructing scientific mass balance reasoning explanations.
物质平衡(MB)推理为考察学生的科学思维和技能提供了一个丰富的主题,因为它要求学生在系统内解释多个输入和输出,并应用协变推理。我们使用先前经过验证的用于 MB 的构造性响应提示,检查了 1920 名学生构造的响应(CR),这些响应与一个新兴的学习进展保持一致,以确定学生的语言如何从低(1)到高(4)协变推理水平发生变化。由于学生的能力和思维会随着情境的变化而变化,我们在六个生理情境中使用了相同的一般提示。我们询问了水平和情境如何影响学生的语言,以及在更高推理水平下哪些语言在情境之间保持不变。使用多样性方法,我们发现随着协变推理水平的提高,学生的语言变得更加相似。通过文本分析,我们在每个水平上都发现了与情境相关的词;然而,情境词的类型发生了变化。具体来说,在水平 1,学生使用与 MB 推理相关的情境词,而在水平 4,学生使用给定项目情境的输入和输出的具体情境词。此外,在水平 4,学生在六个情境中有 30%的语言共享,并利用独立于情境的词,包括“system”“input”“output”“mass”“change”和“constant”。总的来说,这些数据表明情境在所有协变推理水平上都影响本科生的 MB 语言,但随着水平的提高,语言变得更加具体和相似。这些发现鼓励教师在教学中培养独立于情境的、比较的和总结性的语言,以在跨情境的基础上构建 MB 和协变推理技能。本文建立在 Scott 等人的工作(Scott EE、Cerchiara J、McFarland JL、Wenderoth MP、Doherty JH。1: 37, 2023)和 Shiroda 等人的工作(Shiroda M、Fleming MP、Haudek KC。8: 989836, 2023)的基础上,使用构造性响应评估定量检查了学生在六个情境下对物质平衡的书面解释中的语言。这些结果展示了学生物质平衡语言的评估,并为研究人员和从业者提供了帮助学生构建科学物质平衡推理解释的工具。