The development of diagnostic test instrument for mathematical representation ability (PhysDTRA) in high school physics learning
Year 2020,
, 1439 - 1455, 15.12.2020
Awal Mulia Rejeki Tumanggor
,
Supahar Supahar
Abstract
Assessment in education is part of collecting and processing various information related to student achievements during learning. Good learning quality can be seen from the quality of the assessment. Assessment activities that help educators to find out the difficulty of students on a learning material so that it can be guided to achieve completeness criteria, namely by diagnostic tests. The assessment carried out must follow 21st-century learning that is integrated with the industrial era 4.0, namely how to diagnose difficulties related to the representation ability of students in physics learning by utilizing assessments that have advantages in detecting student difficulties and giving suggestions for appropriate improvement. The purpose of this research was to develop a test instrument (PhysDTRA) that could be used to diagnose students' mathematical representation abilities in high school physics learning. The results of the research were analyzed quantitatively and qualitatively using Item Response Theory (IRT). Based on the content validity, the PhysDTRA instrument was declared to be valid according to the expert judgments who were analyzed using the Aiken's V equation. All items in the test instrument were valid based on the Rasch, INFIT MNSQ, and INFIT t models. The PhysDTRA instrument has also been relied upon based on the reliability of the estimated items and TIC curves so that it can be used to diagnose and determine the profile of students' mathematical representation abilities. Thus, the PhysDTRA instrument developed has fulfilled the test characteristics that are feasible of its content, empirical evidence, validity, and reliability.
Supporting Institution
Directorate of Research and Community Service (DRPM), Deputy for Strengthening Research and Development of the Ministry of Research, Technology, and Higher Education/ National Research and Innovation Agency, Indonesia
Project Number
T/9.65/UN34.21/PT.01.03/2020
Thanks
The author would like to thank for funding support from the Directorate of Research and Community Service (DRPM), Deputy for Strengthening Research and Development of the Ministry of Research, Technology, and Higher Education/ National Research and Innovation Agency through Master Thesis Research, No. T/9.65/UN34.21/PT.01.03/2020.
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Year 2020,
, 1439 - 1455, 15.12.2020
Awal Mulia Rejeki Tumanggor
,
Supahar Supahar
Project Number
T/9.65/UN34.21/PT.01.03/2020
References
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- Loewenthal, K. M., & Lewis, C. A. (2018). An introduction to psychological tests and scales. Psychology Press.
- Minarni, A., & Napitupulu, E. E. (2017). Developing Instruction Materials Based on Joyful PBL to Improve Students Mathematical Representation Ability. International Education Studies, 10(9), 23. https://doi.org/10.5539/ies.v10n9p23
- Niss, M. (2016). Obstacles Related to Structuring for Mathematization Encountered by Students when Solving Physics Problems. International Journal of Science and Mathematics Education, 15(8), 1441–1462. https://doi.org/10.1007/s10763-016-9754-6
- Nitko, A. J., & Brookhart, S. M. (2011). Educational Assessment of Students (Sixth Edit). Pearson Education, Inc.
OECD. (2019). PISA 2018 Results (Volume II): Where All Students Can Succeed. In OECD Publishing: Vol. II. https://doi.org/https://doi.org/10.1787/b5fd1b8f-en
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- Park, E.-J., & Choi, K. (2013). Analysis of Student Understanding of Science Concepts Including Mathematical Representations: pH Values and The Relative Differences of pH Values. International Journal of Science and Mathematics Education, 11(3), 683–706. https://doi.org/10.1007/s10763-012-9359-7
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Standards for Primary and Secondary Education), (2016).
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Physics Education Research, 9(2), 1–9. https://doi.org/10.1103/PhysRevSTPER.9.020103
- Pospiech, G., Eylon, B., Bagno, E., Lehavi, Y., & Geyer, M. A. (2016). The Role of Mathematics for Physics Teaching and Understanding. Nuovo Cimento C Geophysics Space Physics C, 38(3), 10. https://doi.org/https://doi.org/10.1393/ncc/i2015-15110-6
- Pujayanto, Budiharti, R., Radiyono, Y., Rizky, N., Nuraini, A., Putri, H. V., Saputro, D. E., & Adhitama, E. (2018). Pengembangan Tes Diagnostik Miskonsepsi Empat Tahap Tentang Kinematika (Developing Four-Tier Misconception Diagnostic Test about Kinematics). Cakrawala Pendidikan, 37(2), 237–249. https://doi.org/10.21831/cp.v37i2.16491
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- Retnawati, H. (2016). Analisis Kuantitatif Instrumen Penelitian: Panduan Peneliti, Mahasiswa, dan Psikometrian (Quantitative Analysis of Research Instruments: A Guide for Researchers, Students, and Psychometrics). Parama Publishing.
- Sadaghiani, H. R. (2011). Using multimedia learning modules in a hybrid-online course in electricity and magnetism. Physical Review Special Topics - Physics Education Research, 7(1), 1–7. https://doi.org/10.1103/PhysRevSTPER.7.010102
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