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成绩较差学生在高阶思维文字问题解决方面的错误:马来西亚不同学校类型的比较案例研究。

Higher-order thinking word problem-solving errors made by low-performing pupils: Comparative case study across school types in Malaysia.

作者信息

Suseelan Menaga, Chew Cheng Meng, Chin Huan

机构信息

School of Educational Studies, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia.

出版信息

Curr Psychol. 2022 May 28:1-13. doi: 10.1007/s12144-022-03271-z.

Abstract

The achievement gaps existed among the three types of Malaysian elementary schools with different instruction mediums. Thus, this study sought to compare the types of errors made by the low-performing students from different school types in solving word problems involving higher-order thinking skills by conducting a multiple case study. The study involved 18 low-performing students from a National Primary School (NPS), National-Type Chinese Primary School (NTCPS), and National-Type Tamil Primary School (NTTPS) in Malaysia. The students' errors in solving eight word problems were identified qualitatively through conducting four sessions of diagnostic interviews, followed by the Newman's Error Analysis. Then, a cross-case analysis was conducted. The findings indicated that the participants of the three school types made reading, comprehension, transformation, process skills and encoding errors. However, the NPS and NTTPS low-performing students made more process skills errors and encoding errors, as compared to the NTCPS low-performing students. The findings imply the need to enhance the procedural fluency of NPS and NTTPS low-performing students for reducing the achievement gaps among the school types.

摘要

在马来西亚,三种不同教学语言的小学之间存在成绩差距。因此,本研究试图通过开展多案例研究,比较来自不同学校类型的成绩较差学生在解决涉及高阶思维技能的应用题时所犯错误的类型。该研究涉及马来西亚一所国民小学(NPS)、国民型华文小学(NTCPS)和国民型淡米尔小学(NTTPS)的18名成绩较差的学生。通过进行四轮诊断访谈,然后采用纽曼错误分析方法,定性地确定了学生在解决八道应用题时所犯的错误。随后进行了跨案例分析。研究结果表明,这三种学校类型的参与者都出现了阅读、理解、转换、过程技能和编码错误。然而,与NTCPS成绩较差的学生相比,NPS和NTTPS成绩较差的学生在过程技能错误和编码错误方面更多。研究结果表明,有必要提高NPS和NTTPS成绩较差学生的程序流畅性,以缩小不同学校类型之间的成绩差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67f1/9142333/7b290f4522b7/12144_2022_3271_Fig1_HTML.jpg

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