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生物演算评估(BCA)的发展。

Development of the BioCalculus Assessment (BCA).

机构信息

RTRES Consulting, Knoxville, TN 37934.

National Institute for STEM Evaluation and Research (NISER), National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee, Knoxville, TN 37996.

出版信息

CBE Life Sci Educ. 2020 Mar;19(1):ar6. doi: 10.1187/cbe.18-10-0216.

DOI:10.1187/cbe.18-10-0216
PMID:32058833
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8697647/
Abstract

We describe the development and initial validity assessment of the 20-item BioCalculus Assessment (BCA), with the objective of comparing undergraduate life science students' understanding of calculus concepts in different courses with alternative emphases (with and without focus on biological applications). The development process of the BCA included obtaining input from a large network of scientists and educators as well as students in calculus and biocalculus courses to accumulate evidential support of the instrument's content validity and response processes of test takers. We used the Rasch model to examine the internal structure of scores from students who have experienced calculus instruction in the two methods. The analysis involved three populations (Calculus 1, Calculus 2, and Biocalculus) for which the Calc 1 and Calc 2 students were not exposed to calculus concepts in a life science setting, while the Biocalculus students were presented concepts explicitly with a life science emphasis. Overall, our findings indicate that the BCA has reasonable validity properties, providing a diagnostic tool to assess the relative learning success and calculus comprehension of undergraduate biology majors from alternative methods of instruction that do or do not emphasize life science examples.

摘要

我们描述了 20 项生物微积分评估(BCA)的开发和初步有效性评估,旨在比较具有不同重点(有和没有生物应用重点)的课程中学生对微积分概念的理解。BCA 的开发过程包括从微积分和生物微积分课程的大量科学家和教育工作者以及学生那里获得投入,以积累该工具内容有效性和应试者反应过程的证据支持。我们使用 Rasch 模型来检验经历过两种方法微积分教学的学生的分数的内部结构。该分析涉及三个群体(微积分 1、微积分 2 和生物微积分),其中微积分 1 和微积分 2 的学生没有在生命科学环境中接触过微积分概念,而生物微积分的学生则明确地介绍了具有生命科学重点的概念。总的来说,我们的发现表明 BCA 具有合理的有效性特征,为评估来自不同教学方法的大学生物专业的相对学习成功和微积分理解提供了一种诊断工具,这些方法强调或不强调生命科学实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f42/8697647/71b252d7ec1f/cbe-19-ar6-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f42/8697647/4d6ce226db3b/cbe-19-ar6-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f42/8697647/71b252d7ec1f/cbe-19-ar6-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f42/8697647/4d6ce226db3b/cbe-19-ar6-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f42/8697647/71b252d7ec1f/cbe-19-ar6-g002.jpg

相似文献

1
Development of the BioCalculus Assessment (BCA).生物演算评估(BCA)的发展。
CBE Life Sci Educ. 2020 Mar;19(1):ar6. doi: 10.1187/cbe.18-10-0216.
2
The Case for Biocalculus: Design, Retention, and Student Performance.生物微积分的案例:设计、保留和学生表现。
CBE Life Sci Educ. 2017 Summer;16(2). doi: 10.1187/cbe.15-04-0096.
3
The Case for Biocalculus: Improving Student Understanding of the Utility Value of Mathematics to Biology and Affect toward Mathematics.生物演算:提高学生对数学在生物学中应用价值的理解和对数学的态度。
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本文引用的文献

1
Critical Values for Yen's : Identification of Local Dependence in the Rasch Model Using Residual Correlations.严氏临界值:使用残差相关性识别拉施模型中的局部依赖性
Appl Psychol Meas. 2017 May;41(3):178-194. doi: 10.1177/0146621616677520. Epub 2016 Nov 16.
2
Development of a Biological Science Quantitative Reasoning Exam (BioSQuaRE).生物科学定量推理考试(BioSQuaRE)的开发。
CBE Life Sci Educ. 2017 Winter;16(4). doi: 10.1187/cbe.16-10-0301.
3
Rasch Analysis for Instrument Development: Why, When, and How?用于工具开发的拉施分析:为何、何时以及如何进行?
CBE Life Sci Educ. 2016 Winter;15(4). doi: 10.1187/cbe.16-04-0148.
4
Contemporary Test Validity in Theory and Practice: A Primer for Discipline-Based Education Researchers.当代理论与实践中的测试有效性:学科教育研究人员入门指南。
CBE Life Sci Educ. 2016 Spring;15(1):rm1. doi: 10.1187/cbe.15-08-0183.
5
Development of the Statistical Reasoning in Biology Concept Inventory (SRBCI).生物学统计推理概念测试库(SRBCI)的发展。
CBE Life Sci Educ. 2016 Spring;15(1):ar5. doi: 10.1187/cbe.15-06-0131.
6
Education research. Instructional complexity and the science to constrain it.教育研究。教学复杂性及其限制科学。
Science. 2013 Nov 22;342(6161):935-7. doi: 10.1126/science.1238056.
7
Psychometric evaluation of a knowledge based examination using Rasch analysis: an illustrative guide: AMEE guide no. 72.基于 Rasch 分析的知识考试的心理计量学评估:说明性指南:AMEE 指南第 72 号。
Med Teach. 2013;35(1):e838-48. doi: 10.3109/0142159X.2012.737488. Epub 2012 Nov 8.
8
Understanding randomness and its impact on student learning: lessons learned from building the Biology Concept Inventory (BCI).理解随机性及其对学生学习的影响:构建生物学概念量表(BCI)的经验教训。
CBE Life Sci Educ. 2008 Summer;7(2):227-33. doi: 10.1187/cbe.07-08-0063.
9
Development and evaluation of a genetics literacy assessment instrument for undergraduates.大学生遗传学素养评估工具的开发与评价
Genetics. 2008 Jan;178(1):15-22. doi: 10.1534/genetics.107.079533.
10
Controversy and the Rasch model: a characteristic of incompatible paradigms?争议与拉施模型:不相容范式的一个特征?
Med Care. 2004 Jan;42(1 Suppl):I7-16. doi: 10.1097/01.mlr.0000103528.48582.7c.