Effects of POGIL and Verification Approaches on Students’ Cognitive Achievement in Reaction Rate: The Moderating Role of Scientific Reasoning

Erga Kurniawati, Thayban Thayban, Haris Munandar

Abstract


This study examined the effectiveness of the Process Oriented Guided Inquiry Learning (POGIL) approach in improving students’ conceptual understanding of reaction-rate concepts and investigated whether scientific reasoning skills moderate the effect of instructional model in a 2×2 factorial design. Forty-four tenth-grade science students from two intact classes were matched and categorized into high and low scientific reasoning groups. Conceptual understanding was measured using a two-tier diagnostic test, and assumptions for Two-Way ANOVA were verified before analysis. Results indicated a significant main effect of instructional model, with POGIL achieving higher scores than verification-based instruction (F = 20.385, p < 0.001, η² = 0.29). Scientific reasoning also significantly influenced outcomes (F = 7.328, p = 0.010, η² = 0.10). The interaction between instructional model and reasoning was not statistically significant (F = 2.559, p = 0.118), indicating that the interaction effect was not statistically significant in this sample. POGIL is theoretically expected to support integration of macroscopic, submicroscopic, and symbolic representations through guided inquiry and collaborative scaffolding. Limitations include the small sample size and quasi-experimental design. These findings highlight the potential of guided inquiry-oriented instruction to enhance conceptual understanding while emphasizing the role of reasoning skills, with cautious interpretation of non-significant interactions.

Keywords


Process Oriented Guided Inquiry Learning; reaction-rate concepts; conceptual understanding; scientific reasoning; factorial design

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References


Adodo, S. O. (2013). Effects of Two-Tier Multiple Choice Diagnostic Assessment Items on Students’ Learning Outcome in Basic Science Technology (BST). Academic Journal of Interdisciplinary Studies. https://doi.org/10.5901/ajis.2013.v2n2p201

Bao, L., Cai, T., Koenig, K., Fang, K., Han, J., Wang, J., Liu, Q., Ding, L., Cui, L., Luo, Y., Wang, Y., Li, E., & Wu, N. (2009). Physics: Learning and scientific reasoning. In Science (Vol. 323, Number 5914). https://doi.org/10.1126/science.1167740

Barthlow, M. J., & Watson, S. B. (2014). The Effectiveness of Process-Oriented Guided Inquiry Learning to Reduce Alternative Conceptions in Secondary Chemistry. School Science and Mathematics, 114(5). https://doi.org/10.1111/ssm.12076

Cakmakci, G. (2010). Identifying alternative conceptions of chemical kinetics among secondary school and undergraduate students in Turkey. Journal of Chemical Education, 87(4). https://doi.org/10.1021/ed8001336

Fraenkel, J., Wallen, N., & Hyun, H. (2022). How to Design and Evaluate Research in Education. In Journal of American Optometric Association (Vol. 60).

Hanson, D. M. (2006). Instructor’s Guide to Process-Oriented Guided-Inquiry Learning. Journal of Multidisciplinary Research and Development.

Kolomuç, A., & Tekin, S. (2011). Chemistry Teachers’ Misconceptions Concerning Concept of Chemical Reaction Rate. International Journal of Physics & Chemistry Education, 3(2). https://doi.org/10.51724/ijpce.v3i2.194

Landis, J. R., & Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1). https://doi.org/10.2307/2529310

Lawson, A. E. (2004). The nature and development of scientific reasoning: A synthetic view. International Journal of Science and Mathematics Education, 2(3). https://doi.org/10.1007/s10763-004-3224-2

Lawson, A. E., Alkhoury, S., Benford, R., Clark, B. R., & Falconer, K. A. (2000). What kinds of scientific concepts exist? Concept construction and intellectual development in college biology. Journal of Research in Science Teaching, 37(9). https://doi.org/10.1002/1098-2736(200011)37:9<996::AID-TEA8>3.0.CO;2-J

Mamombe, C., Mathabathe, K. C., & Gaigher, E. (2021). Teachers’ and Learners’ Perceptions of Stoichiometry using POGIL: A Case Study in South Africa. Eurasia Journal of Mathematics, Science and Technology Education, 17(9). https://doi.org/10.29333/ejmste/11140

McLeod, D. B., Cronbach, L. J., & Snow, R. E. (1978). Aptitudes and Instructional Methods: A Handbook for Research on Interactions. Journal for Research in Mathematics Education, 9(5). https://doi.org/10.2307/748778

Moog, R. S., & Spencer, J. N. (2008). POGIL: An overview. ACS Symposium Series, 994. https://doi.org/10.1021/bk-2008-0994.ch001

Nnorom, N. R. (2013). The effect of reasoning skills on students achievement in biology in Anambra State. International Journal of Scientific & Engineering Research, 4(12).

Oloyede, O. I. (2012). The Relationship between Acquisition of Science Process Skills , Formal Reasoning Ability and Chemistry Achievement. International Journal of Advanced and Applied Sciences, 8(1).

Putri, T. S., & Rohaeti, E. (2025). Scientific Argumentation in Chemistry Education: A Literature Review of Practices Challenges, And Solutions. Tarbiyah: Jurnal Ilmiah Kependidikan, 14(1).

Rodiatul, S., & Alizar. (2024). Deskripsi Pemahaman Multirepresentasi Kimia Peserta Didik Pada Materi Reaksi Kimia Fase E SMAN 1 2 X 11 Kayutanam. Journal of Global Research Education, 2(1). https://doi.org/10.62194/at5qa221

Şen, Ş., Yılmaz, A., & Geban, Ö. (2015). The Effects Of Process Oriented Guided Inquiry Learning Environment On Students’ Self-Regulated Learning Skills. Problems of Education in the 21st Century, 66(1). https://doi.org/10.33225/pec/15.66.54

Snow, R. E. (1989). Aptitude-Treatment Interaction as a framework for research on individual differences in learning. In Learning and individual differences: Advances in theory and research (Vol. 59, Number 2).

Solehuddin, A. A., M., M., & R., R. (2025). The Influence of Implementing Process-Oriented Guided Inquiry Learning (POGIL) Model With Website Assistance To Improve Students’ Logical Thinking. International Journal of Research in STEM Education, 7(1). https://doi.org/10.33830/ijrse.v7i1.1804

Supriadi, S., Wildan, W., Hakim, A., Siahaan, J., Haris, M., & Ariani, S. (2022). Mental model and scientific reasoning ability of chemistry education students during Covid-19 Pandemic online learning. Jurnal Pijar Mipa, 17(3). https://doi.org/10.29303/jpm.v17i3.3106

Thoron, A. C., & Myers, B. E. (2012). Effects of Inquiry–based Agriscience Instruction on Student Scientific Reasoning. Journal of Agricultural Education, 53(4). https://doi.org/10.5032/jae.2012.04156

Treagust, D. (2012). Diagnostic assessment in science as a means to improving teaching, learning and retention. Australian Conference on Science, (1998).

Zhang, R., & Jiang, Y. (2026). Profiling the integrated application of multiple representations for the teaching of chemical concepts: teaching practices based on multiple representations. Disciplinary and Interdisciplinary Science Education Research, 8(1). https://doi.org/10.1186/s43031-025-00148-6




DOI: https://doi.org/10.37905/jjec.v8i1.37519

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