Improving student comprehension through interactive model visualization

IF 1.3 4区 经济学 Q3 ECONOMICS International Review of Economics Education Pub Date : 2024-06-30 DOI:10.1016/j.iree.2024.100296
Simon D. Halliday , Christopher Makler , Douglas McKee , Anastasia Papadopoulou
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Abstract

A large literature has shown that novices and experts across the STEM disciplines differ markedly in how they approach and solve problems. Many STEM education scholars find that giving students scaffolded exercises in which they work with a visualization tool can be highly effective in teaching novices to think more like experts. Using model visualization software developed for EconGraphs, we have created three custom collections of interactive exercises for use in microeconomics courses at three institutions, two in the US and one in the UK. Based on surveys of the students (n=71, 167, and 57 respectively at the three institutions), students found the new exercises helpful. Additional analysis at two of the institutions suggests that the exercises were more likely to be valued by students with weaker math skills, students with weaker introductory microeconomics skills, and, in some cases, students who agreed that economics was interesting and applicable to their daily lives. The contributions of this paper are to illustrate how the free content from EconGraphs and the associated authoring tools may be used to create exercises that enhance the teaching and learning experience at a range of institutions; to provide the exercises themselves as a public good; and to invite further innovation and investigation in this area.

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通过交互式模型可视化提高学生理解能力
大量文献表明,STEM 学科的新手和专家在处理和解决问题的方式上存在明显差异。许多 STEM 教育学者发现,为学生提供支架式练习,让他们在练习中使用可视化工具,可以非常有效地教会新手像专家一样思考问题。利用为 EconGraphs 开发的模型可视化软件,我们为三所院校的微观经济学课程定制了三套互动练习,其中两所位于美国,一所位于英国。根据对学生(三所院校的学生人数分别为 71、167 和 57 人)的调查,学生认为新练习很有帮助。对其中两所院校的补充分析表明,数学技能较弱的学生、微观经济学入门技能较弱的学生,以及在某些情况下认为经济学有趣并适用于其日常生活的学生,更有可能重视这些练习。本文的贡献在于说明了如何利用 EconGraphs 的免费内容和相关创作工具来创建练习,以增强各种院校的教学体验;将练习本身作为一种公共产品来提供;并邀请各方在这一领域开展进一步的创新和研究。
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来源期刊
CiteScore
4.40
自引率
4.80%
发文量
26
审稿时长
28 days
期刊最新文献
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