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Correlation, Necessity, and Sufficiency: Common Errors in the Scientific Reasoning of Undergraduate Students for Interpreting Experiments

机译:相关性,必要性和充分性:用于解释实验的大学生科学推理中的常见错误

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摘要

Gaining an understanding of how science works is central to an undergraduate education in biology and biochemistry. The reasoning required to design or interpret experiments that ask specific questions does not come naturally, and is an essential part of the science process skills that must be learned for an understanding of how scientists conduct research. Gaps in these reasoning skills make it difficult for students to become proficient in reading primary scientific literature. In this study, we assessed the ability of students in an upper-division biochemistry laboratory class to use the concepts of correlation, necessity, and sufficiency in interpreting experiments presented in a format and context that is similar to what they would encounter when reading a journal article. The students were assessed before and after completion of a laboratory module where necessary vs. sufficient reasoning was used to design and interpret experiments. The assessment identified two types of errors that were commonly committed by students when interpreting experimental data. When presented with an experiment that only establishes a correlation between a potential intermediate and a known effect, students frequently interpreted the intermediate as being sufficient (causative) for the effect. Also, when presented with an experiment that tests only necessity for an intermediate, they frequently made unsupported conclusions about sufficiency, and vice versa. Completion of the laboratory module and instruction in necessary vs. sufficient reasoning showed some promise for addressing these common errors. (C) 2015 by The International Union of Biochemistry and Molecular Biology
机译:了解科学的运作方式是生物学和生物化学本科教育的核心。设计或解释提出特定问题的实验所需的推理并非自然而然,它是科学过程技能必不可少的组成部分,必须掌握这些知识才能理解科学家如何进行研究。这些推理能力的差距使学生很难精通阅读初级科学文献。在本研究中,我们评估了高等生化实验室班级学生使用相关性,必要性和充分性概念来解释实验的能力,这些实验的格式和上下文与阅读期刊时会遇到的情况相似文章。在完成实验模块之前和之后对学生进行评估,在此过程中,必要和充分的推理被用来设计和解释实验。评估确定了学生在解释实验数据时通常犯的两种错误。在进行仅建立潜在中间体与已知作用之间相关性的实验时,学生经常将中间体解释为足以达到该作用(因果关系)。另外,当进行一项仅测试中间体必要性的实验时,他们经常会得出关于自给性的无根据的结论,反之亦然。完成必要的和充分的推理后的实验室模块和说明显示出解决这些常见错误的希望。 (C)2015年,国际生物化学与分子生物学联合会

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