QUALITY OF STUDENTS’ MATHEMATICAL CONCEPT UNDERSTANDING INSTRUMENTS USING THE RASCH MODEL

Authors

  • HK Rusyid Universitas Pendidikan Indonesia
  • D Suryadi Universitas Pendidikan Indonesia
  • FT Dinata Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.17501/26307413.2023.6103

Keywords:

Understanding of Mathematical Concepts, Rasch Model, Ministep, Item Response Theory

Abstract

This study aims to describe the quality of the questions on students' ability to understand mathematical concepts from the aspects of validity, reliability, level of difficulty of the questions, and the distinguishing power of the items. The data obtained is the end of semester assessment data for class XII with the documentation method in the form of 15 multiple choice questions and tested on 29 vocational students. Data were analyzed using a modern modeling approach, namely the Rasch Model using Ministep software. The results of the analysis obtained in this study are the quality of questions from the validity aspect obtained 13 questions in the valid category and 2 questions in the invalid category. The Cronbach alpha (KR-20) reliability value is 0.57 (medium) with a person reliability value of 0.59 (weak) and a question item reliability value of 0.84 (good). The average difficulty index of the items shows that there are four categories of item difficulty, namely 3 very easy questions, 3 easy questions, 7 difficult questions, and 2 very difficult questions. The differentiating power of the items using Rasch modeling obtained a differentiating power value of 3.34 and 1.76 in the sufficient category, which means that the questions made are sufficient to distinguish students who are able to answer questions and students who have low ability to answer questions. Based on this, the research instrument developed can be used to measure students' mathematical concept understanding ability.

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References

Achdiyat, M., & Lestari, K. D. (2016). Prestasi Belajar Matematika Ditinjau dari Kepercayaan Diri dan Keaktifan Siswa di Kelas. Formatif: Jurnal Ilmiah Pendidikan MIPA, 6(1), 50–61. https://doi.org/10.30998/formatif.v6i1.752

Alamsyah, M. (2017). Analisis Kesulitan Pemahaman Konsep Matematika Dasar Pada Siswa Kelas VIII MTsN Balang-Balang. UIN Alauddin Makassar.

Azizah, A., & Wahyuningsih, S. (2020). Penggunaan Model Rasch Untuk Analisis Instrumen Tes Pada Mata Kuliah Matematika Aktuaria. JUPITEK: Jurnal Pendidikan Matematika, 3(1), 45–50. https://doi.org/10.30598/jupitekvol3iss1pp45-50

Azwar, S. (2011). Metode Penelitian. Pustaka Pelajar.

Baiduri, B. (2019). Strategi Literasi dalam Pembelajaran Matematika pada Era Industri 4.0. MUST: Journal of Mathematics Education, Science and Technology, 4(1), 77–94.

Boone, W., Straver, R., & Yale, S. (2014). Rasch Analysis in the Human Sciences. Springer.

Collins, A., & Halverson, R. (2010). The second educational revolution: Rethinking education in the age of technology. Journal of Computer Assisted Learning, 26(1), 18–27. https://doi.org/10.1111/j.1365-2729.2009.00339.x

Creswell, J. (2016). Research Design Pendekatan Kuantitatif, Kualitatif, dan Mix-Method. Pustaka Belajar.

Fajar, A. P., Kodirun, K., Suhar, S., & Arapu, L. (2019). Analisis Kemampuan Pemahaman Konsep Matematis Siswa Kelas VIII SMP Negeri 17 Kendari. Jurnal Pendidikan Matematika, 9(2), 229. https://doi.org/10.36709/jpm.v9i2.5872

Ghozali, I. (2006). Aplikasi Analisis Multivariate dengan Program SPSS (Edisi Ke 4). Badan Penerbit Universitas Diponegoro.

Gliem, J., & Gliem, R. (2003). Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-type scales. In Midwest Research to Practice Conference in Adult, Continuing, and Community Education, 82–88. https://doi.org/https://doi.org/10.1109/PROC.1975.9792

Griffin, S. (2004). Number Worlds: A Research-Based Mathematics Program for Young Children. Engaging Young Children in Mathematics: Standards for Early Childhood Mathematics Education, 325–342.

Hamalik, O. (2008). Perencanaan Pengajaran Berdasarkan Pendekatan Sistem. Bumi Aksara.

Hariwijaya. (2009). Meningkatkan Kecerdasan Matematika. Tugu Publisher.

Holidun, H., Masykur, R., Suherman, S., & Putra, F. G. (2018). Kemampuan Pemecahan Masalah Matematis Kelompok Matematika Ilmu Alam dan Ilmu-Ilmu Sosial. Desimal: Jurnal Matematika, 1(1), 29. https://doi.org/10.24042/djm.v1i1.2022

Indah, N., & Hidayati, N. (2021). Analisis Kesulitan Siswa Berdasarkan Kemampuan Pemahaman Konsep Matematis dalam Menyelesaikan Soal Materi SPLDV. Jurnal Cendekia : Jurnal Pendidikan Matematika, 6(1), 24–34. https://doi.org/10.31004/cendekia.v6i1.981

Izzati, M., Sholikhakh, R. A., & Suwandono, S. (2021). Analisis Kesulitan Pemahaman Konsep Dan Kemandirian Belajar Pada Proses Pembelajaran Matematika Selama Pandemi Covid-19. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 10(4), 2406. https://doi.org/10.24127/ajpm.v10i4.4179

Johnson, R. B., & Christensen, L. (2014). Educational Research: Quantitative, Qualitatif, and Mixed Approaches. SAGE Publications Inc.

Karim, A. (2011). Penerapan Metode Penemuan Terbimbing dalam Pembelajaran Matematika untuk Meningkatkan Pemahaman Konsep dan Kemampuan Berpikir Kritis Siswa Sekolah Dasar. Jurnal Penelitian Pendidikan, Edisi Khus(2), 154–163.

Kleden, M. A., Sugi, Y., & Gerardus, U. (2018). Contextual Learning on the Basis of Coastal Culture to Enhance Students’ Competency in Mathematical Problems Solving. Journal of Physics: Conference Series, 1108(1). https://doi.org/10.1088/1742-6596/1108/1/012013

Novitasari, L., & Leonard. (2017). Pengaruh Kemampuan Pemahaman Konsep Matematika Terhadap Hasil Belajar Matematika. Prosiding Diskusi Panel Nasional Pendidikan Matematika, 758–766.

Radiusman, R. (2020). Studi Literasi: Pemahaman Konsep Anak Pada Pembelajaran Matematika. FIBONACCI: Jurnal Pendidikan Matematika Dan Matematika, 6(1), 1. https://doi.org/10.24853/fbc.6.1.1-8

Risdianto, E., Syarkowi, A., & Jumiarni, D. (2021). Analisis Data Respon Mahasiswa Terhadap Sistem Pembelajaran Berbasis MOOCs pada Matakuliah Ilmu Lingkungan Menggunakan Rasch Model. JINOTEP (Jurnal Inovasi Dan Teknologi Pembelajaran): Kajian Dan Riset Dalam Teknologi Pembelajaran, 8(1), 47–57. https://doi.org/10.17977/um031v8i12021p047

Sari, D. K. (2020). Analisis Instrumen Penilaian Kemampuan Pemodelan Matematis Pada Kelas Fisika Menggunakan Rasch Model. MEGA: Jurnal Pendidikan Matematika, 1(1), 46–52.

Shadiq, F. (2009). Kemahiran Matematika. Departemen Pendidikan Nasional.

Skemp, R. (1976). Relational Understanding and Instrumental Understanding. Mathematics Teaching, 77, 20–26.

Smiley, J. (2015). Classical test theory or Rasch: A personal account from a novice user. SHIKEN.

Souza de Cursi, E. (2015). Variational Methods for Engineers with Matlab®. John Wiley and Sons Ltd.

Subekt, H., Taufiq, M., Susilo, H., Ibrohim, I., & Suwono, H. (2017). Mengembangkan Literasi Informasi Melalui Belajar Berbasis Kehidupan Terintegrasi Stem Untuk Menyiapkan Calon Guru Sains Dalam Menghadapi Era Revolusi Industri 4.0: Revieu Literatur. Education and Human Development Journal, 3(1), 81–90. https://doi.org/10.33086/ehdj.v3i1.90

Sudirman, S., Son, A. L., Rosyadi, R., & Fitriani, R. N. (2020). Uncovering the Students’ Mathematical Concept Understanding Ability: a Based Study of Both Students’ Cognitive Styles Dependent and Independent Field in Overcoming the Problem of 3D Geometry. Formatif: Jurnal Ilmiah Pendidikan MIPA, 10(1), 1–12. https://doi.org/10.30998/formatif.v10i1.3789

Sumarmo, U. (2014). Asesmen Soft Skill dan Hard Skill Matematik Siswa Dalam Kurikulum 2013. https://anzdoc.com/asesmen-soft-skill-dan%02hard-skill-matematik-siswa-dalam-kuri.html

Sumintono, B., & Widhiarso, W. (2014). Aplikasi Model Rasch untuk Penelitian Ilmu-Ilmu Sosial. Trim Komunikata.

Sumintono, B., & Widhiarso, W. (2015). Aplikasi Pemodelan Rasch pada Assessment Pendidikan. Trim Komunikata.

Sztajn, P., Confrey, J., Wilson, P. H., & Edgington, C. (2012). Learning Trajectory Based Instruction: Toward a Theory of Teaching. Educational Researcher, 41(5), 147–156. https://doi.org/10.3102/0013189X12442801

Thissen, D., Nelson, L., & Rosa, K. (2001). Item Response Theory for Items Scored in More than Two Categories. Lawrence Erlbaum Associates Publishers.

Widhiarso, W. (2016). Penerapan Model Rasch untuk mengevaluasi Tes UKKS dan UKPS. Tenaga Kependidikan, 1(1), 50–51.

Yuliani, E. N., Zulfah, Z., & Zulhendri, Z. (2018). Pengaruh Model Pembelajaran Kooperatif Tipe Group Investigation (Gi) Terhadap Kemampuan Pemahaman Konsep Matematis Siswa Kelas VIII SMP Negeri 1 Kuok. Jurnal Cendekia : Jurnal Pendidikan Matematika, 2(2), 91–100. https://doi.org/10.31004/cendekia.v2i2.51

Yurliananda, & Yuza. (2022). Increasing the Ability to Understand Mathematical Concepts in Materials of Relationships Between Lines Using the Discovery Learning at SDN 01 Pasar Laban Bungus Teluk Kabung. Jurnal Fakultas Keguruan Dan Ilmu Pendidikan, 15(2)

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Published

2024-01-11

How to Cite

Rusyid, H., Suryadi, D., & Dinata, F. (2024). QUALITY OF STUDENTS’ MATHEMATICAL CONCEPT UNDERSTANDING INSTRUMENTS USING THE RASCH MODEL. Proceedings of the International Conference on Future of Education, 6(1), 26–40. https://doi.org/10.17501/26307413.2023.6103