高中生数学表征能力:基于掌握学习评价模型(MLAM)的倾向评价

Rani Darmayanti, M. Syaifuddin, Nopia Rizki, Rahmad Sugianto, Niswatun Hasanah
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引用次数: 4

摘要

数学表征是学生明确探索和运用数学概念的能力。本研究旨在了解掌握学习评估模型(MLAM)在Assyfa学习中心基金会的数学学习中的有效性,然后用数学倾向来评价学生解决数学表征问题的能力。MLAM是基于重复类似的评估,通过从以前的研究人员掌握学习大修。本研究采用描述性定性方法。在这里介绍的研究中,20名受试者使用基于高、低和中等数学能力的连续评估工具进行了汇总和调查。结果表明,几乎所有学生都能运用具象图像解决数学问题,建立数学模型,解决与数学表达式相关的问题。另一方面,大多数学生无法完成数学表达的两项指标,即根据给定的情况和数据绘制草图和数学模型。75%的学生完成了这节课,这表明了这一结果。从教学评价(TER)结果来看,大多数学生也对这种方法感到满意。期望MLAM评估能提高学生的数学表征能力。
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High school students’ mathematical representation ability: Evaluation of disposition based on mastery learning assessment model (MLAM)
Mathematical representation is the ability of students to explore and use mathematical ideas explicitly. This study aimed to learn about the effectiveness of the Mastery Learning Assessment Model (MLAM) in mathematics learning at the Assyfa Learning Center Foundation Pasuruan, which then described students' abilities in solving mathematical representation problems evaluated from mathematical dispositions. MLAM is based on repeating a similar assessment through an overhaul of mastery learning from previous researchers. This study used a descriptive qualitative method. In the study presented here, 20 subjects were pooled and surveyed using a continuous assessment tool based on high, low, and moderate math ability. The results showed that almost all students could use representational images to solve mathematical problems, create mathematical models, and solve problems related to mathematical expressions. On the other hand, most students could not complete the two indicators of mathematical representation, namely making sketches and mathematical models based on the given situation and data. This result is indicated by the 75% of students who completed this lesson. Based on the Teaching Evaluation (TER) results, most students are also satisfied with this approach. It is expected that the MLAM assessment can improve students' mathematical representation skills.
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