Procedure Determination and Symbolic Equation Analysis as Predictors of Higher Order Thinking Skills in Physics Problem Solving
DOI:
https://doi.org/10.47945/search.v4i`1.2577Keywords:
Higher Order Thinking Skills, Physics Problem Solving, Procedure Determination Skills, Symbolic Equation Analysis, Physics EducationAbstract
Higher-order thinking skills (HOTS) constitute essential competencies in 21st-century physics education, particularly in problem-solving contexts that require analytical, evaluative, and reflective reasoning. This study investigates the extent to which procedure determination skills and symbolic equation analysis jointly predict students’ HOTS in physics problem solving. A quantitative correlational design was employed, involving 50 undergraduate students enrolled in a Science education program. Data were collected using Likert-scale instruments designed to measure procedural determination skills, symbolic equation analysis, and HOTS in physics problem solving. The data were analyzed through descriptive statistics, measurement model evaluation (including validity and reliability testing), and multiple linear regression to examine the simultaneous predictive effects of the two independent variables on HOTS. The findings indicate that both procedure determination skills and symbolic equation analysis are positively associated with students’ HOTS, with symbolic equation analysis demonstrating a relatively stronger contribution. However, when considered simultaneously, the two predictors explain only a limited proportion of variance in HOTS and do not yield a statistically significant joint effect. These results suggest that higher-order thinking in physics problem solving represents a multidimensional construct that cannot be sufficiently explained by procedural and symbolic competencies alone. This study highlights the necessity of instructional approaches and future research that integrate conceptual understanding, metacognitive regulation, and contextual reasoning to more effectively foster HOTS in physics education.
References
Alemu, M., Tadesse, M., Michael, K., & Atnafu, M. (2019). PRE-SERVICE PHYSICS TEACHERS’PHYSICS UNDERSTANDING AND UPPER PRIMARY TEACHER EDUCATION IN ETHIOPIA. Bulgarian Journal of Science & Education Policy, 13(2).
Amalia, R. F., & Wahyuni, S. (2021). Analysis of Higher Order Thinking Skills (HOTS) Content of SBMPTN Physics Problems. In Journal of Physics: Conference Series (Vol. 1918, Issue 5). https://doi.org/10.1088/1742-6596/1918/5/052055
Asrullah, Risnita, Jailani, M. S., & Jeka, F. (2023). Populasi dan Sampling ( Kuantitatif ), Serta Pemilihan Informan Kunci ( Kualitatif ) dalam Pendekatan Praktis. 7, 26320–26332.
Bautista, R. G. (2013). The Students’ Procedural Fluency And Written-Mathematical Explanation On Constructed Response Tasks In Physics. 1(1), 1–7.
Cashata, Z. A., Seyoum, D. G., & Alemu, S. A. (2022). Assessing Students’ Factual, Conceptual, and Procedural Knowledge of Newton’s Laws of Motion. Momentum: Physics Education Journal, 6(2), 199–213.
Cashata, Z. A., Seyoum, D. G., & Gashaw, F. E. (2023). Enhancing College Students ’ Procedural Knowledge of Physics Using Blended Jigsaw-IV Problem-Solving Instruction To cite this article : Enhancing College Students ’ Procedural Knowledge of Physics Using Blended Jigsaw-IV Problem-Solving Instruction. International Journal of Research in Education and Science (IJRES), 9(1), 148–164. https://doi.org/https://doi.org/10.46328/ijres.3035
Chandrasekaran, B. (1986). Generic tasks in knowledge-based reasoning: High-level building blocks for expert system design. IEEE Intelligent Systems, 1(03), 23–30.
Dulger, Z., & Ogan-Bekiroglu, F. (2025). Students’ metacognition knowledge and skills during physics problem-solving process. Physical Review Physics Education Research, 21(2), 20106.
Ghanbar, H. (2024). Using SmartPLS for Structural Equation Modeling in Applied Linguis- tics : A Method Note Keywords 1 | Introduction. 2.
Haji-othman, Y., Sholeh, M., & Yusuff, S. (2022). Assessing Reliability and Validity of Attitude Construct Using Partial Least Squares Structural Equation Modeling Assessing Reliability and Validity of Attitude Construct Using Partial Least Squares Structural Equation Modeling ( PLS-SEM ). 12(5), 378–385. https://doi.org/10.6007/IJARBSS/v12-i5/13289
Lindner, A., & Strauch, D. (2018). Classical Mechanics. In A Complete Course on Theoretical Physics: From Classical Mechanics to Advanced Quantum Statistics (pp. 55–162). Springer.
Mahajan, S. (2020). A Student’s Guide to Newton’s Laws of Motion. Cambridge University Press.
Morphew, J. W., Gladding, G. E., & Mestre, J. P. (2020). Effect of presentation style and problem-solving attempts on metacognition and learning from solution videos. Physical Review Physics Education Research, 16(1), 10104.
Nahdi, D. S., & Jatisunda, M. G. (2020). Conceptual understanding and procedural knowledge: A case study on learning mathematics of fractional material in elementary school. Journal of Physics: Conference Series, 1477(4), 42037.
Nikat, R. F., Siahaan, P., Algiranto, & Sinaga, P. (2023). HOTS Based Scientific Reasoning : Cognitive (Vol. 1). Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-060-2
OECD. (2022). PISA PISA 2022 Results. In OECD. OECD.
Ropi, N., & Nugroho, S. E. (2025). Analysis of Physics Problem Solving Skills of Junior High School Students through PBL-HOTS on Magnetism Material. 9(1), 27–39.
Saglam-Arslan, A., & Devecioglu, Y. (2010). Student teachers’ levels of understanding and model of understanding about Newton’s laws of motion. Asia-Pacific Forum on Science Learning & Teaching, 11(1).
Saidi, S. S., & Siew, N. M. (2019). Investigating the Validity and Reliability of Survey Attitude towards Statistics Instrument among Rural Secondary School Students. 5(4), 651–661. https://doi.org/10.12973/ijem.5.4.651
Saprudin, S., Liliasari, L., & Prihatmanto, A. S. (2017). Pre-service physics teachers’ concept mastery and the challenges of game development on physics learning. Journal of Physics: Conference Series, 895(1), 12109.
Sigron, M., Langley, D., Dylak, S., & Yerushalmi, E. (2025). Longitudinal trends of high school physics students’ perceptions of experience, difficulty, and development in a long-term inquiry framework. Physical Review Physics Education Research, 21(1), 10101.
Surif, J., Ibrahim, N. H., & Mokhtar, M. (2012). Conceptual and procedural knowledge in problem solving. Procedia-Social and Behavioral Sciences, 56, 416–425.
Tang, Y., & Beach, D. (2023). Work in Progress : Evaluating the Effect of Symbolic Problem Solving on Testing Validity and Reliability Evaluating the Effect of Symbolic Problem Solving on Assessment Validity and Reliability.
Wahyuni, V., & Mufit, F. (2025). HOTS Assessment Development to Assess High School Physics Problem-Solving Skills. 11(10), 536–546. https://doi.org/10.29303/jppipa.v11i10.12880
Zhang, Y., Tian, H., & Lu, J. (2025). The relationship between higher-order thinking and problem-solving skills development among pre-service teachers using generative AI : an analysis based on moderated mediation.
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