Analysis of High School Students 'Mathematic Critical Thinking Ability with Graded Response Models
Abstract
The ability to think critically in mathematics, especially high-level mathematical critical thinking, is needed by students so that students are able to face changing circumstances or challenges that exist in life that is always developing. Graded response models (GRM) are used in order to display the estimated item parameters and students' abilities. This research is a descriptive study with a qualitative approach. Subjects in this study using SMA Simpang Tiga in terms of their mathematical critical thinking skills. Subjects were taken using a mathematical critical thinking ability test, then processed through Microsoft Excel to obtain a Graded Response Models (GRM) graph.Based on data analysis Students can be categorized as highly skilled, in general students can determine the concept of the problem correctly, are able to formulate problems in solving problems, are able to provide reasons and arguments clearly, but students are less able to evaluate problems in solving problems. Students who are categorized as having moderate ability, students can determine the concept of the problem correctly, are able to formulate problems, but students are less clear in providing reasons and arguments clearly, and are less able to evaluate the problems contained in solving problems. Students who are categorized as low, students are able to determine the concept correctly, but students are less able to formulate problems, and students are unable to provide clear reasons.
Keywords
Full Text:
PDFReferences
Arikunto, Suharsimi. 2009. Dasar-dasar Evaluasi Pendidikan (Edisi Revisi). Jakarta: Bumi Aksara.
Desmita. 2010. Psikologi Perkembangan Peserta Didik. Bandung: PT Remaja Rosdakarya.
Ennis, R,H. 1996. Critical Thinking. New Jersey: Printice-Hall Inc
Glaser, E. and Paul, R,W. 2012. Critical Thinking, Membangun Pemikiran Logis. Jakarta: Pustaka Sinar Harapan.
Hendayawan, S, dkk. 2017. Analisis Kemampuan Berpikir kritis Matematis Tingkat Rendah pada Pembelajaran Berbasis Masalah dengan Greens Motivational Strategies. Aksioma. 8(2). 50-58.
Khodijah, Nyayu. 2006. Psikologi Belajar. Palembang: IAIN Raden Fatah PRESS.
Manfaat, B. dan Anasha, Z.Z. 2013. Analisis Kemampuan Berpikir Matematik Siswa dengan Menggunakan Graded Respons Models. Prosiding Seminar Nasional Matematika dan Pendidikan Matematika. Jurusan Pendidikan Matematika FMIPA UNY. 119-124.
Matteucci, M. and Stracqualursi, L. 2006. Estimation of Latent Trait Ability Using a Response Pattern of Graded Scores. Psychometric Monograph. 17.
Mirunnisa. 2019. Peningkatan Kemampuan Penalaran Matematis Siawa Sekolah Menengah Atas dengan Model Discovery Learning. Jurnal Numeracy. 6(1). 76-85.
Noer, Sri Hastuti. 2009. Peningkatan Kemampuan Berpikir Kritis Matematis Siswa SMP Melalui Pembelajaran Berbasis Masalah. Prosiding, Seminar Nasional Matematika dan Pendidikan Matematika FMIPA UNY.
Razi, Z. 2019. Penerapan Model Pembelajaran Kooperatif The Powerof Two untuk Meningkatkan Hasil Belajar Siswa. Jurnal Sains Riset. 8 (1). 31-36.
Razi, Z dan Mirunnisa. 2019. Model Discovery Learning Berbantuan Software Maple etrhadap Kemampuan Pemahaman Matematis. Jurnal Aksioma. 8(3). 520-527.
Sabandar, Joshua. 2008. Pembelajaran Matematika Sekolah dan Permasalahan Ketuntasan Belajar Matematika. Bandung: Universitas Pendidikan Indonesia.
Samejima, F. 1962. Estimation of Latent Ability Using a Response Pattern of Graded Scores, Research Bulletin. New Jersey: Educational Testing Service.
Sumarmo, Utari. 2010. Berpikir dan Disposisi Matematik: Apa, Mengapa, dan Bagaimana Dikembangkan Pada Peserta Didik. Makalah disampaikan pada seminar FBMIPA, Universitas Pendidikan Indonesia.
Surapranata. 2004. Analisis, Validitas, Reliabilitas dan Interpretasi Hasil Tes Implementasi Kurikulum 2004. Bandung: Remaja Rosdakarya.
Zohar, A., and Dori, Y.J. 2003. Higher Order Thinking Skills and Low Achieving Students: Are They Mutually Exclusive. The journal of the learning sciences, 12, 145-181.
DOI: https://doi.org/10.33258/birci.v4i1.1719
Article Metrics
Abstract view : 146 timesPDF - 117 times
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.