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本研究通过假币买玩具的数学应用题探讨了基于问题目标的表征转换对问题解决的促进作用,结果发现(1)基于问题目标状态的表征转换能改变被试对问题空间的搜索与关键信息的提取加工。(2)基于问题目标状态的表征转换能显著提高问题解决的成功率。
This study explores the role of token-based transformation in problem-solving through the mathematical application of counterfeit-to-buy toys. The results show that (1) the characterization transformation based on the target state of the problem can change the subject’s search and key information Extraction processing. (2) Characterization transformation based on the target state of the problem can significantly improve the success rate of problem solving.