Metaphorical perceptions of gifted and normally developing students on the concept of solving mathematical problems

Q1 Mathematics
Zübeyde Er, Perihan Dinç Artut
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Abstract

This research aims to determine the metaphorical perceptions of gifted and normally developing students attending primary education regarding solving mathematical problems. In the research, the qualitative research method was employed. In the 2022-2023 academic year, 206 students studying at the primary school level in Turkey were determined according to the convenience sampling method. Students were given a sentence such as “In my opinion, solving mathematical problems is like .........., because; ........” and they were asked to develop a metaphor about mathematical problem solving and explain their reasoning. The research data were categorized using qualitative data analysis methods, and content analysis was performed. In addition, the categories related to the metaphors created and the distribution of the students according to their gender, whether they are gifted or not, and gender were analyzed. From the analysis of the data, seven categories and 84 metaphors emerged. As a result of the data analysis showed that male students were more likely than female students, and gifted students were more likely to produce metaphors than students with normal development. In the seven conceptual categories for mathematical problem solving, 37 metaphors were developed in the conceptual category containing positivity, 16 in the conceptual category containing negativity, and 8 in the conceptual categories containing and developing necessity. Besides, it was seen that 15 metaphors were developed in conceptual categories of Drug Therapeutic, Goal or Result Attainment, Nature, and Natural Phenomena.
资优学生和发育正常学生对解决数学问题概念的比喻性认识
本研究旨在确定接受小学教育的资优学生和发育正常学生对解决数学问题的隐喻认知。研究采用了定性研究方法。根据方便抽样法,确定了 2022-2023 学年土耳其小学阶段的 206 名学生。研究人员给学生们提供了这样一句话:"在我看来,解决数学问题就像..........,因为;........",要求他们就数学问题的解决提出一个隐喻并解释其理由。研究数据采用定性数据分析方法进行分类,并进行内容分析。此外,还分析了与所创造的隐喻有关的类别,以及根据学生的性别、是否资优和性别进行的分布情况。通过对数据的分析,得出了 7 个类别和 84 个隐喻。数据分析结果显示,男生比女生更容易产生隐喻,资优生比发育正常的学生更容易产生隐喻。在数学问题解决的七个概念类别中,包含积极性的概念类别产生了 37 个隐喻,包含消极性的概念类别产生了 16 个隐喻,包含和发展必然性的概念类别产生了 8 个隐喻。此外,在 "药物治疗"、"目标或结果的实现"、"自然 "和 "自然现象 "等概念类别中,也出现了 15 个隐喻。
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来源期刊
Journal on Mathematics Education
Journal on Mathematics Education Mathematics-Mathematics (all)
CiteScore
4.20
自引率
0.00%
发文量
13
审稿时长
10 weeks
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