Identifikasi Profil Kesalahan Siswa dalam Menyelesaikan Soal Keterampilan Berpikir Kritis Menggunakan Newman’s Error Analysis

Magdalena, Zulfah; Muslim, Muhammad

doi:10.30872/jlpf.v4i1.2018

Cited by 1 publication

(2 citation statements)

References 12 publications

(14 reference statements)

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“…These results indicated that students split the complex data to be more manageable and understandable, under Angeli et al ( 2016 Then, the essential support indicator gained a percentage of 85%; this indicated that students determined the formula correctly from the questions given. The primary support indicator is students' basic skills in adjusting information from sources, observing, and considering the results (Magdalena & Muslim, 2023). Furthermore, the advanced clarification indicator had reached a percentage of 76%.…”

Section: Picture 2 Results Of Student Answersmentioning

confidence: 99%

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Computational thinking ability becomes a predictor of mathematical critical thinking ability

Candraningtyas,

Khusna

2023

Alifmatika J. Pendidik. dan Pembelajaran Mat.

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This research aims to determine the relationship between computational thinking ability and mathematical critical thinking ability of seventh-grade students at SMPN 49 Jakarta. Computational thinking ability is skills or processes in solving problems effectively, while mathematical critical thinking ability is a process of analyzing problems to make an accurate decision. This research used correlation research with research subjects consisting of 14 female students and 16 male students. The instrument in this study is a test in the form of a description, which is measured using indicators. This study used decomposition, pattern recognition, abstraction, and algorithm thinking as indicators of computational thinking ability. This study uses elementary clarification, essential support, inference, advanced clarification, strategy, and tactics as indicators of mathematical critical thinking. The outcome of this research showed a positive correlation between computational thinking ability and students’ mathematical critical thinking ability. The relationship analysis shows a simultaneous and significant relationship between computational thinking and essential mathematical thinking abilities. The correlation test results using Pearson Product Moment obtained a result of 0.897 with a coefficient of determination of 80.5%. The magnitude of the correlation indicates that the two abilities have a solid relationship. If computational thinking ability is high, then mathematical critical thinking ability is also high, and if computational thinking ability is low, then mathematical critical thinking ability is also low.

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Section: Picture 2 Results Of Student Answersmentioning

confidence: 99%

“…Moreover, according to Ennis in Magdalena and Muslim (2023), strategy and tactics indicators are students' skills in deducing and inducing information to make decisions from the results considered. Strategy and tactics indicators had the lowest percentage of 38%.…”

Section: Picture 2 Results Of Student Answersmentioning

confidence: 99%

Computational thinking ability becomes a predictor of mathematical critical thinking ability

Candraningtyas,

Khusna

2023

Alifmatika J. Pendidik. dan Pembelajaran Mat.

View full text Add to dashboard Cite

show abstract

Identifikasi Profil Kesalahan Siswa dalam Menyelesaikan Soal Keterampilan Berpikir Kritis Menggunakan Newman’s Error Analysis

Cited by 1 publication

References 12 publications

Computational thinking ability becomes a predictor of mathematical critical thinking ability

Computational thinking ability becomes a predictor of mathematical critical thinking ability

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