Examining Experts’ Recommendations of Representational Systems for Problem Solving

Aaron Stockdill, Gem Stapleton, Daniel Raggi, M. Jamnik, Grecia Garcia Garcia, P. Cheng
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引用次数: 1

Abstract

—P´olya and others recognised that an appropriate representation of a problem is key for enabling us to solve it. But choosing the right representation is a problem that novice problem solvers find difficult, so must turn to experts for guidance. In this paper, we present a study that examines how human experts recommend representations. We asked high school mathematics teachers to order representational systems based on their suitability generally, and with respect to a student profile. We found the teachers updated their recommendations based on the problem and student profile, but were inconsistent with each other. This inconsistency highlights a need for more training and support in representational system selection.
审查专家建议的代表性系统解决问题
p ' olya和其他人认识到,问题的适当表达是使我们能够解决问题的关键。但是选择正确的表示是新手很难解决的问题,因此必须向专家寻求指导。在本文中,我们提出了一项研究,探讨了人类专家如何推荐表征。我们要求高中数学老师根据他们的适用性和学生的个人资料来订购表征系统。我们发现老师们根据问题和学生的情况更新了他们的建议,但彼此不一致。这种不一致突出了在代表性系统选择方面需要更多的培训和支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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