Advancing Equity in STEM: The Impact Assessment Design Has on Who Succeeds in Undergraduate Introductory Chemistry

被引:21
|
作者
Ralph, Vanessa R. [3 ,4 ]
Scharlott, Leah J. [1 ]
Schafer, Adam G. L. [2 ]
Deshaye, Megan Y. [2 ]
Becker, Nicole M. [1 ]
Stowe, Ryan L. [2 ]
机构
[1] Univ Iowa, Dept Chem, Iowa City, IA 52242 USA
[2] Univ Wisconsin Madison, Dept Chem, Madison, WI 53706 USA
[3] Univ Oregon, Teaching Engagement Program, Off Provost, Eugene, OR 97403 USA
[4] Univ Oregon, Dept Chem & Biochem, Eugene, OR 97403 USA
来源
JACS AU | 2022年 / 2卷 / 08期
基金
美国国家科学基金会;
关键词
equity; STEM; assessment design; mechanistic reasoning; logistic regression; AT-RISK STUDENTS; GENERAL-CHEMISTRY; SCIENTIFIC INQUIRY; SCIENCE; PREDICTORS; GRADES; ACHIEVEMENT; SAT; FRAMEWORK; THINKING;
D O I
10.1021/jacsau.2c00221
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
What we as scientists and educators assess has a tremendous impact on whom we authorize to participate in science careers. Unfortunately, in critical gateway chemistry courses, assessments commonly emphasize and reward recall of disaggregated facts or performance of (often mathematical) skills. Such an emphasis marginalizes students based on their access to pre-college math preparation and misrepresents the intellectual work of chemistry. Here, we explore whether assessing intellectual work more authentic to the practice of chemistry (i.e., mechanistic reasoning) might support more equitable achievement. Mechanistic reasoning involves explaining a phenomenon in terms of interactions between lower scale entities (e.g., atoms and molecules). We collected 352 assessment tasks administered in college-level introductory chemistry courses across two universities. What was required for success on these tasks was rote math skills (165), mechanistic reasoning (36), neither (126), or both (25). Logistic regression models predict that the intellectual work emphasized on in an assessment could impact whether 15-20% of the cohort passes or fails. Whom does assessment emphasis impact most? Predicted pass rates for those often categorized as "at-risk " could be 67 or 93%, depending on whether their success was defined by rote calculation or mechanistic reasoning. Therefore, assessment transformation could provide a path toward advancing the relevance of our courses and educational equity.
引用
收藏
页码:1869 / 1880
页数:12
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