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一、数学记忆品质面临的困境 信息加工理论认为,记忆是对输入信息通过编码、复习而予以储存,并在一定条件下进行检索和提取的过程,当一个人对识记的材料能够达到敏捷性、持久性、正确性和准备性(即在必要时能够把记忆中所储存的知识迅速地提供出来,以解决当前的实际问题)四要素的要求时,我们就认为此人有较好的记忆品质(需要说明的是我们也不能仅凭某一方面的因素去评定一个人记忆的好坏)。所谓数学记忆品质,笔者以为则是在需要用数学工具解决实际问题时,数学认知结构中(如图示)涉及保持的相关数学信息能够顺利地实现迁移于解决实际问题。
First, the predicament of mathematics memory quality The information processing theory holds that memory is the process of storing and retrieving input information through coding and review, and under certain conditions, the process of retrieving and extracting, when a person can achieve agility , Persistence, correctness, and readiness (that is, when it is necessary to quickly provide the knowledge stored in the memory to solve the current practical problems) when the requirements of the four elements, we think that this person has a better memory Quality (It should be noted that we can’t just assess the memory of a person based on a certain aspect). The so-called mathematical memory quality, the author believes that when the need to use mathematical tools to solve practical problems, mathematics cognitive structure (as shown) involved in the maintenance of relevant mathematical information can be successfully migrated to solve practical problems.