Student representational competence and self-assessment when solving physics problems

Student representational competence and self-assessment when solving physics problems
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学生解决物理问题时的表达能力和自我评估

DOI:
10.1103/physrevstper.1.010104
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发表时间:
2005
影响因子:
--
通讯作者:
N. Finkelstein
N. Finkelstein
中科院分区:
社会科学1区
文献类型:
--
作者:
P. Kohl;N. Finkelstein

文献摘要

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学生解决物理问题的成功与否与问题的表征形式有关。我们研究学生的代表能力,在两个大讲座代数为基础的介绍大学物理课程,约600名参与者。我们研究了学生的表现在四个不同的代表性格式的数学,图片,图形,口头作业的问题,尽可能接近同构的问题陈述。除了家庭作业,我们还通过提供后续测验来检查学生对表征的评估,在这些测验中,他们在各种问题格式之间进行选择。作为对照,部分班级被分配了一个随机格式的后续测验。我们发现,有统计上显着的性能差异,不同的表示几乎同构的报表测验和家庭作业的问题。我们还发现,允许学生选择他们使用的代表格式,提高学生的表现在某些情况下,并降低它在其他。值得注意的是,研究的两门课程之一显示出接受格式选择的组与没有选择格式的组之间的表现差异要大得多,我们考虑了可能的原因。总体而言,我们观察到,学生的表征能力是绑在微观和宏观层面的任务和环境的功能。
Student success in solving physics problems is related to the representational format of the problem. We study student representational competence in two large-lecture algebra-based introductory university physics courses with approximately 600 participants total. We examined student performance on homework problems given in four different representational formats mathematical, pictorial, graphical, verbal , with problem statements as close to isomorphic as possible. In addition to the homeworks, we examine students’ assessment of representations by providing follow-up quizzes in which they chose between various problem formats. As a control, some parts of the classes were assigned a random-format follow-up quiz. We find that there are statistically significant performance differences between different representations of nearly isomorphic statements of quiz and homework problems. We also find that allowing students to choose which representational format they use improves student performance under some circumstances and degrades it in others. Notably, one of the two courses studied shows much greater performance differences between the groups that received a choice of format and those that did not, and we consider possible causes. Overall, we observe that student representational competence is tied to both microand macrolevel features of the task and environment.