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Assessing expertise in introductory physics using categorization task

机译:使用分类任务评估介绍物理学的专业知识

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The ability to categorize problems based upon underlying principles, rather than surface features or contexts, is considered one of several proxy predictors of expertise in problem solving. With inspiration from the classic study by Chi, Feltovich, and Glaser, we assess the distribution of expertise among introductory physics students by asking three introductory physics classes, each with more than a hundred students, to categorize mechanics problems based upon similarity of solution. We compare their categorization with those of physics graduate students and faculty members. To evaluate the effect of problem context on studentsa€? ability to categorize, two sets of problems were developed for categorization. Some problems in one set included those available from the prior study by Chi et??al. We find a large overlap between calculus-based introductory students and graduate students with regard to their categorizations that were assessed as a€?good.a€? Our findings, which contrast with those of Chi et??al., suggest that there is a wide distribution of expertise in mechanics among introductory and graduate students. Although the categorization task is conceptual, introductory students in the calculus-based course performed better than those in the algebra-based course. Qualitative trends in categorization of problems are similar between the non-Chi problems and problems available from the Chi study used in our study although the Chi problems used are more difficult on average.
机译:基于基础原则,而不是曲面特征或上下文对问题进行分类的能力被认为是解决问题解决中的专业知识的几个代理预测因子之一。考虑到Chi,Feltovich和Glaser的经典学习的灵感,我们通过询问三个介绍物理课程,每个介绍物理课程,每个学生都有三个介绍物理学,以基于解决方案的相似性进行分类。我们将他们的分类与物理研究生和教师的分类进行比较。评估问题背景对学生的影响吗?分类的能力,为分类开发了两组问题。一个集合中的一些问题包括在Chi 等中获得的那些,我们在基于微积分的介绍学生和研究生方面找到了一项巨大的重叠,他们的分类被评估为a €?好。€?我们的研究结果与Chi et'O adt造影。,建议,介绍性和研究生之间的力学专业知识广泛分布。虽然分类任务是概念性的,但基于微分的课程中的介绍学生比基于代数的课程更好。在我们研究中使用的CHI研究中使用的非CHI问题和问题之间存在的定性趋势是相似的,尽管使用的CHI问题平均更困难。

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