Enhancing Polytechnic Students’ Conceptual Understanding of Kinematics Through Instruction That Integrates Metacognitive Guidance
DOI:
https://doi.org/10.33394/j-ps.v14i4.22042Keywords:
Conceptual understanding, Kinematics, Metacognitive prompts, Polytechnic education, Physics educationAbstract
This study aims to analyze changes in the conceptual understanding of polytechnic students following the implementation of instruction that integrates metacognitive prompts into kinematics material, as well as to describe students’ metacognitive behaviors during the learning process. The study employed a one-group pretest–posttest pre-experimental design involving 32 first-semester students in the Road and Bridge Engineering Technology (TRKJJ) program at Ketapang State Polytechnic. Data were collected through conceptual understanding tests, diagnostic tests, metacognitive prompt sheets, and metacognitive behavior observation sheets. Conceptual understanding data were analyzed using normalized gain, the paired-samples t-test, the Wilcoxon signed-rank test, and Cohen’s dz effect size, while metacognitive behavior was analyzed descriptively based on the aspects of planning, monitoring, and evaluating. The results showed that the mean conceptual understanding score increased from 14.47 (36.17%) on the pretest to 29.38 (73.44%) on the posttest. The mean N-gain value of 0.59 falls into the moderate category. The difference between pretest and posttest scores was significant based on the paired-samples t-test (t(31) = 38.24, p < 0.001) and consistent with the Wilcoxon test (p > 0.001). The effect size was Cohen’s dz = 6.76. Among the metacognitive behaviors, monitoring received the highest mean score (M = 3.20), followed by planning (M = 2.80) and evaluating (M = 2.60). These findings indicate an increase in conceptual understanding following instruction that integrated metacognitive prompts, accompanied by a predominance of monitoring behavior during the learning process. However, because the study used a design without a control group, this increase cannot be fully attributed to the metacognitive prompts.
References
Admoko, S., & Suliyanah. (2023). Could physics teachers also have misconceptions on basic kinematics? Journal of Physics: Conference Series, 2623(1), Article 012025. https://doi.org/10.1088/1742-6596/2623/1/012025
Ali, S. M. (2026). Metacognitive strategies in education: Fostering self-regulated learning across disciplines and learning environments. Journal of Interdisciplinary Studies in Education, 15(1), 45–72.
Aminuddin, M., Salman, Z., Asim, & Irawati, A. (2024). Multi-representation approach in improving 1-dimensional kinematics conceptual understanding. Universal Education Journal of Teaching and Learning, 1(2), 41–45. https://doi.org/10.63081/uejtl.v1i2.34
Ammer, M. A., & Alnasser, E. M. (2025). Impact of innovative teaching methods on learning engagement among business and management students: A quantitative study. Educational Sciences: Theory & Practice, 25(2).
Arief Taqwa, M. R., Feranie, S., & Henukh, A. (2025). Active learning with multi-representation support for deep conceptual understanding of one-dimensional kinematics. Journal of Physics: Conference Series, 3139(1), Article 012087.
Bambang Widjajanto, Rozy, F. S., Dewi, L. C., Lestari, I. J., & Wahyuni, D. N. (2025). Keterampilan berpikir metakognitif pada peserta didik kelas 6 sekolah dasar. DIDAKTIKA: Jurnal Pemikiran Pendidikan, 31(2), 303–315. https://doi.org/10.30587/didaktika.v31i2.9849
Benek, H. P., & Şekercioğlu, A. G. Ç. (2026). A systematic literature review of studies on metacognition in science, physics, chemistry and biology education. International Journal of New Trends in Arts, Sports & Science Education, 2026(15), 46–63.
Bierer, S. B., Beck Dallaghan, G., Borges, N. J., Brondfield, S., Fung, C. C., Huggett, K. N., ... Colbert, C. Y. (2025). Moving beyond simplistic research design in health professions education: What a one-group pretest-posttest design will not prove. MedEdPORTAL, 21, Article 11527. https://doi.org/10.15766/mep_2374-8265.11527
Chen, J., Sun, W., Xu, Q., Wang, Y., Yu, F., & Zhang, H. (2025). A neural network-based prediction model for students' mathematical metacognitive monitoring ability. In 2025 7th International Conference on Computer Science and Technologies in Education (CSTE) (pp. 352–356). IEEE.
Ciptaningtyas, W., Mukmin, B. A., & Putri, K. E. (2022). E-book interaktif berbasis Canva sebagai inovasi sumber belajar materi sistem pencernaan manusia kelas V SD. Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD), 10(2), 160–174. https://doi.org/10.22219/jp2sd.v10i2.21788
Çoban, A., & Salar, R. (2023). Analyzing position, velocity and acceleration graphs using Arduino. Jurnal Pendidikan Fisika Indonesia, 19(1). https://doi.org/10.15294/jpfi.v19i1.32246
DeBerry, J. A., Adams, E. M., Cascalheira, C. J., & Hitter, T. L. (2023). The effectiveness of didactic and perspective-taking interventions on reducing multiple dimensions of heterosexism. Journal of Homosexuality, 70(10), 2295–2318.
Dulger, Z., & Ogan-Bekiroglu, F. (2025). Students’ metacognition knowledge and skills during physics problem-solving process. Physical Review Physics Education Research, 21(2), Article 020106. https://doi.org/10.1103/4s17-6dxs
Eticha, M. D., Hunde, A. B., & Ketema, T. (2025). The role of a designed problem-solving method with metacognitive scaffolding on students’ conceptual change learning and teachers’ instructional practices in biology. Thinking Skills and Creativity, Article 102033.
Fakoya, A., Ndrio, M., & McCarthy, K. J. (2023). Facilitating active collaborative learning in medical education: A literature review of peer instruction method. Advances in Medical Education and Practice, 14, 1087–1099. https://doi.org/10.2147/AMEP.S421400
Fazilova, N., Komilova, K., Avezov, O., Nazarova, F., Akhmedova, S., Xaydarov, M., & Alimardanova, R. (2026). Neuro adaptive metacognitive prompting strategies for improving self regulated learning and critical thinking in psychological science education. Archives for Technical Sciences, 35, 631.
Guo, L. (2022). Using metacognitive prompts to enhance self-regulated learning and learning outcomes: A meta-analysis of experimental studies in computer-based learning environments. Journal of Computer Assisted Learning, 38(3), 811–832. https://doi.org/10.1111/jcal.12650
Haryanto, L. Y., & Budhi, H. S. (2025). The effectiveness of technology-based PhET simulation-assisted PBL models to minimize misconceptions of force and motion material. Radiasi: Jurnal Berkala Pendidikan Fisika, 18(2), 45–55. https://doi.org/10.37729/radiasi.v18i2.6536
Janssen, N., & Lazonder, A. W. (2024). Meta-analysis of interventions for monitoring accuracy in problem solving. Educational Psychology Review, 36(3), Article 96. https://doi.org/10.1007/s10648-024-09936-4
Kamil, F., Harahap, S. P. R., & Kurnila, N. (2022). Pembelajaran dengan pendekatan saintifik berbasis masalah untuk menumbuhkan motivasi belajar mahasiswa. Jurnal Suluh Pendidikan, 10(2), 56–69. https://doi.org/10.36655/jsp.v10i2.783
Kongkaew, C., Scholfield, C. N., Supapaan, T., Mann, C., Mongkhon, P., & Chanunun, S. (2025). Impact of research-based learning on student knowledge and assessment in pharmacoepidemiology: A one-group pretest-posttest experimental study. The Thai Journal of Pharmaceutical Sciences, 43(4), 9.
Koswojo, J., Kusairi, S., Sutopo, S., Herwinarso, H., Rizkyanti, E., & Daeng, F. F. (2026). Representational competence and conceptual understanding in linear motion: Differences by representation type and gender. Magister Scientiae, 54(1), 37–52.
Lee, Y. T., Chang, Y. C., Ma, H. C., Huang, W. H., Lin, C. W., & Hwang, L. C. (2026). Effectiveness of the health literacy education program for medical student clerkships: A one-group pretest-posttest study. BMC Medical Education.
Mardova, L., Putra, F., & Sari, R. (2025). Pengembangan e-modul interaktif fisika zat padat berbasis outcome-based education (OBE) untuk meningkatkan literasi sains dan pembelajaran mandiri mahasiswa. JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah), 9(2), 130–135. https://doi.org/10.30599/jipfri.v9i2.4909
Marthaliakirana, A. D., Suwono, H., Saefi, M., & Gofur, A. (2022). Problem-based learning with metacognitive prompts for enhancing argumentation and critical thinking of secondary school students. Eurasia Journal of Mathematics, Science and Technology Education, 18(9), 1–15.
Muthmainnah, T. A., Ariya, A. A., & Adnan, A. (2024). Konsep dasar metakognisi dalam proses pembelajaran. JIIP: Jurnal Ilmiah Ilmu Pendidikan, 7(12), 13549–13556. https://doi.org/10.54371/jiip.v7i12.6356
Mutrofin Rozaq, & Prihatiningtyas, S. (2024). Analisis miskonsepsi mahasiswa pada matakuliah fisika teknik untuk rekayasa otomotif melalui pembelajaran berbasis kasus. V-MAC (Virtual of Mechanical Engineering Article), 10(1), 1–7. https://doi.org/10.36526/v-mac.v5i1.4617
Niyomufasha, T., Ntivuguruzwa, C., & Mugabo, L. R. (2024). The engineering students’ use of multiple representations in mechanics problems solving at a selected public university in Rwanda. Cogent Education, 11(1), Article 2372941.
Nurhidayat, W., Surahman, E., & Sujarwanto, E. (2023). The effect of conceptual understanding procedures learning model on students' higher level thinking skills. JPI (Jurnal Pendidikan Indonesia), 12(2), 386–394.
Orillo, M. J. F., & Mistades, V. M. (2024). Effects of multiple representation in student's conceptual understanding and metacognitive awareness in mechanics. KnE Social Sciences, 862–868.
Osman, N., Mahmud, S. N. D., & Mohd Arsad, N. (2026). Integrating metacognition and structured problem-solving in physics: Effects of the e-GraVT digital module on secondary physics students. European Journal of STEM Education, 11(1), Article 6. https://doi.org/10.20897/ejsteme/17871
Panjeh, S., Nordahl-Hansen, A., & Cogo-Moreira, H. (2023). Establishing new cutoffs for Cohen's d: An application using known effect sizes from trials for improving sleep quality on composite mental health. International Journal of Methods in Psychiatric Research, 32(3), Article e1969. https://doi.org/10.1002/mpr.1969
Pape, R. (2025). Supporting young learners' self-regulated learning in computer-based learning environments: The effects of adaptive metacognitive prompting [Doctoral dissertation, Katholische Universität Eichstätt-Ingolstadt].
Paramata, D. D., Mursalin, M., Lukum, A., Latjompoh, M., Yusuf, F. M., Nusantari, E., ... Andriani, Y. (2026). Cognitive fragility in Newtonian problem solving: A critical examination of metacognitive monitoring and evaluation processes. Jurnal IPA & Pembelajaran IPA, 10(2), 486–499.
Prada Núñez, R., Gamboa Suárez, A. A., & Avendaño Castro, W. R. (2022). Interpreting the slope of a straight line in kinematics graphs with school students. Journal of Physics: Conference Series, 2163(1), Article 012011.
Puimège, E., Caltabellotta, E., & Peters, E. (2025). Pretesting effects on incidental L2 vocabulary learning through reading. Studies in Second Language Acquisition, 47(3), 774–793. https://doi.org/10.1017/S0272263125100910
Punia, P., Malik, R., Bala, M., Phor, M., & Chander, Y. (2022). Relationship between logical thinking, metacognitive skills, and problem solving abilities: Mediating and moderating effect analysis. Polish Psychological Bulletin, 53(4).
Royani, S. N. M., Irvaniyah, B. N., & Kusairi, S. (2025). A revealing students' struggles and misconceptions in kinematics through multi-representation assignments. JPI (Jurnal Pendidikan Indonesia), 14(4), 810–821.
Safhira, Y., Syafii, M., & Fauza, N. (2026). Implementing experiential learning with simple media to improve cognitive learning outcomes on heat concepts. Lontar Physics Today, 5(2), 199–218.
Sakellariou, S., & Hatzikraniotis, E. (2025). Enhancing high school students' understanding of kinematics graphs through a pedagogical agent. In EDULEARN25 proceedings (pp. 3899–3906). IATED.
Shear, B. R., & Briggs, D. C. (2024). Measurement issues in causal inference. Asia Pacific Education Review, 25(3), 719–731.
Shin, Y., Jung, J., Zumbach, J., & Yi, E. (2023). The effects of worked-out example and metacognitive scaffolding on problem-solving programming. Journal of Educational Computing Research, 61(6), 1312–1331. https://doi.org/10.1177/07356331231174454
Siantuba, J., Nkhata, L., & de Jong, T. (2023). The impact of an online inquiry-based learning environment addressing misconceptions on students’ performance. Smart Learning Environments, 10(1), Article 22. https://doi.org/10.1186/s40561-023-00236-y
Sijmkens, E., De Laet, T., & De Cock, M. (2024). Stimulating metacognition during physics problem solving: The impact of topic-specific reflection.
Su, C. Y. (2026). Integrating metacognitive scaffolding into a physics simulation for elementary school students’ conceptual understanding of force and motion. Journal of Science Education and Technology, 1–16.
Tapio, R. P. (2025). The role of data assumptions in selecting between parametric and nonparametric tests. Asian Journal of Probability and Statistics, 27(11), 127–135.
Taryati, N., & Tarsidi, I. (2025). Perbandingan pendekatan pembelajaran tradisional dan berbasis penyelidikan dalam membentuk pembelajaran inklusif. JIIP: Jurnal Ilmiah Ilmu Pendidikan, 8(7), 7403–7408. https://doi.org/10.54371/jiip.v8i7.8503
Utama, R., Toifur, M., Ishafit, I., & Okimustava, O. (2025). Investigating senior high school students’ conceptual understanding of heat and temperature: A qualitative analysis in physics education. Jurnal Pendidikan Fisika, 13(2), 222–238.
Vo, K., Sarkar, M., White, P. J., & Yuriev, E. (2024). Development of problem-solving skills supported by metacognitive scaffolding: Insights from students’ written work. Chemistry Education Research and Practice, 25(4), 1197–1209. https://doi.org/10.1039/D3RP00284E
Wang, C. Y., Gao, B. L., & Chen, S. J. (2024). The effects of metacognitive scaffolding of project-based learning environments on students’ metacognitive ability and computational thinking. Education and Information Technologies, 29(5), 5485–5508.
Wati, W. (2024). Pemetaan miskonsepsi mahasiswa fisika pada konsep energi, kinematika, dan listrik statis dengan tes disnogtik four-tier. JagoMIPA: Jurnal Pendidikan Matematika dan IPA, 4(4), 808–820.
Zakiya, H., & Falamy, R. A. (2024). Efektifitas panduan praktikum GLBB berbasis outcome-based education untuk meningkatkan keterampilan praktis mahasiswa pendidikan fisika. Jurnal Pendidikan Fisika dan Sains (JPFS), 7(2), 69–74. https://doi.org/10.52188/jpfs.v7i2.1006
Zheng, G. (2024). Training of future engineering specialists in vocational education institutions in China. Humanities Studios: Pedagogy, Psychology, Philosophy, 4(12), 34–45.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Firmanilah Kamil, Nely Kurnila

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

This work is licensed under a Creative Commons Attribution 4.0 International License.

