Students’ Use of Computational Thinking Practices in an Undergraduate Biology-Engineering Course

Students’ Use of Computational Thinking Practices in an Undergraduate Biology-Engineering Course
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学生在本科生物工程课程中使用计算思维实践

DOI:
10.1007/s41979-021-00058-y
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发表时间:
2022
期刊:
Journal for STEM Education Research
影响因子:
--
通讯作者:
Hutchinson, Anna E.
Hutchinson, Anna E.
中科院分区:
--
文献类型:
--
作者:
DeJarnette, Anna F.;Larrison, Corey;Rollmann, Stephanie M.;Vanderelst, Dieter;Layne, John E.;Hutchinson, Anna E.

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计算思维 (CT) 的概念最初是为了描述计算环境中的问题解决而出现的,但它现已扩展为一组可以在使用或不使用计算机的情况下跨学科应用的实践。我们记录了学生在本科生生物工程课程的两次实验室课程中的工作,以回答这样的问题:学生对 CT 实践的参与如何根据学科背景以及生物实验室与工程实验室的要求而变化?我们发现学生们应用了一些相同的 CT 实践,但这些实践在两个实验室中用于不同的目的。生物实验室允许进行更多样化的 CT 实践,部分原因是学生不需要进行任何编程。这些发现表明,使用计算模型而不是计算机来理解生物现象的生物实验室如何导致有意义的 CT 参与。记录不同学科的不同类型的任务在学生中引发 CT 的方式,可以使该结构对于设计学习体验和记录学生的学习更加有用。
The construct of Computational Thinking (CT) first emerged to describe problem solving in the context of computing environments, but it has expanded to serve as a set of practices that can be applied across disciplines with or without the use of computers. We recorded students’ work during two lab sessions in an undergraduate, biology-engineering course to answer the question, how did students’ participation in CT practices vary according the disciplinary contexts and the demands of a biology lab compared to the engineering lab? We found that students applied some of the same CT practices, but these practices were used for different purposes across the two labs. The biology lab allowed for more varied CT practices, in part because students did not have to do any programming. These findings indicate how a biology lab that used a computational model, but not a computer, to understand a biological phenomenon led to meaningful engagement in CT. Documenting the ways that different types of tasks from different disciplines elicit aspects of CT in students can make the construct more useful for designing learning experiences and documenting student learning.
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