符号学
理解力
认知
点(几何)
数学教育
数学语言
代表(政治)
认知科学
计算机科学
实证研究
课程
认知心理学
数学
认识论
心理学
教育学
哲学
统计
几何学
神经科学
政治
政治学
法学
程序设计语言
标识
DOI:10.1007/s10649-006-0400-z
摘要
To understand the difficulties that many students have with comprehension of mathematics, we must determine the cognitive functioning underlying the diversity of mathematical processes. What are the cognitive systems that are required to give access to mathematical objects? Are these systems common to all processes of knowledge or, on the contrary, some of them are specific to mathematical activity? Starting from the paramount importance of semiotic representation for any mathematical activity, we put forward a classification of the various registers of semiotic representations that are mobilized in mathematical processes. Thus, we can reveal two types of transformation of semiotic representations: treatment and conversion. These two types correspond to quite different cognitive processes. They are two separate sources of incomprehension in the learning of mathematics. If treatment is the more important from a mathematical point of view, conversion is basically the deciding factor for learning. Supporting empirical data, at any level of curriculum and for any area of mathematics, can be widely and methodologically gathered: some empirical evidence is presented in this paper.
科研通智能强力驱动
Strongly Powered by AbleSci AI