Enhancing Conceptual Coherence: Students’ Mental Models of the Male Reproductive System through Collaborative Constructive Approach
Abstract
This study aims to analyze the effect of the Collaborative Constructive approach on the quality of students’ mental models in the topic of the male reproductive system. The study employed a mixed-methods approach with an embedded experimental design and a quasi-experimental pretest-posttest control group design. The research sample consisted of 73 eleventh-grade students at a public senior high school in Cirebon City, with 37 students assigned to the experimental class and 36 students to the control class. The experimental class participated in Collaborative Constructive learning through worksheet exploration, group discussion, completion of incomplete concept maps, presentations, and concept clarification, whereas the control class received teacher-centered instruction. The research instrument was an open-ended essay test assessing the aspects of content, prediction, explanation, and drawing. The data were analyzed using normalized gain scores, the Mann-Whitney test, and qualitative analysis of changes in students’ responses. The results showed that the experimental class obtained a normalized gain score of 0.74, which falls into the high category, while the control class obtained a score of 0.51, categorized as moderate. The Mann-Whitney test indicated a significant difference in the improvement of mental models between the two classes. Qualitatively, the experimental class demonstrated a more directed shift in mental models toward scientific understanding, particularly in the aspects of content, prediction, and explanation, although the visual representation aspect still requires further reinforcement. These findings indicate that the Collaborative Constructive approach can support the reconstruction of students’ mental models in abstract and complex biological topics.
References
Anastasiou, D., Wirngo, C. N., & Bagos, P. (2024). The Effectiveness of Concept Maps on Students ’ Achievement in Science : A Meta ‑ Analysis. In Educational Psychology Review (Vol. 36, Issue 2). Springer US. https://doi.org/10.1007/s10648-024-09877-y
Andariana, A., Zubaidah, S., Mahanal, S., & Suarsini, E. (2020). Identification of biology students ’ misconceptions in human anatomy and physiology course through three-tier diagnostic test. Journal for the Education of Gifted Young Scientists, 8(3), 1071–1085. https://doi.org/10.17478/jegys.752438
Antinozzi, C., Di Luigi, L., Sireno, L., Caporossi, D., Dimauro, I., & Sgrò, P. (2025). Protective role of physical activity and antioxidant systems during spermatogenesis. Biomolecules, 15(4), 478. https://doi.org/10.3390/biom15040478
Ariely, M., Nazaretsky, T., & Alexandron, G. (2024). Causal‐mechanical explanations in biology: Applying automated assessment for personalized learning in the science classroom. Journal of Research in Science Teaching, 61(8), 1858–1889. https://doi.org/10.1002/tea.21929
Baharuddin, R., & Umar, M. F. (2026). Assessing High School Students' Misconceptions of the Human Reproductive System Using a Three-Tier Diagnostic Test. Pro-Life, 13(2), 186-203. https://doi.org/10.33541/pro-life.v13i2.8236
Batlolona, J. R., & Diantoro, M. (2023). MENTAL MODELS AND CREATIVE THINKING SKILLS IN STUDENTS’ PHYSICS LEARNING. Creativity Studies, 16(2), 433–447. https://doi.org/10.3846/cs.2023.14743
Belland, B. R. (2017). Instructional Scaffolding in STEM Education. Springer. https://doi.org/10.1007/978-3-319-02565-0
Bobek, E., & Tversky, B. (2016). Creating visual explanations improves learning. Cognitive Research: Principles and Implications, 1(1), 1–14. https://doi.org/10.1186/s41235-016-0031-6
Chiu, M. C., & Hwang, G. J. (2026). Enhancing student creative and critical thinking in generative AI-empowered creation: A mind-mapping approach. Interactive Learning Environments, 34(2), 869-890. https://doi.org/10.1080/10494820.2025.2511244
Dong, Y., Liu, X., & Chen, Y. (2026). Exploring Pathways for Integrating Sex Education into High School Biology and Its Practical Significance. Academic Journal of Education, 1(1), 18-24. https://doi.org/10.54097/b8y5mj20
Eun, B. (2017). The zone of proximal development as an overarching concept : A framework for synthesizing Vygotsky ’ s theories The zone of proximal development as an overarching concept : A framework for synthesizing Vygotsky ’ s theories. Educational Philosophy and Theory, 1857, 1–13. https://doi.org/10.1080/00131857.2017.1421941
Gregorcic, T., & Torkar, G. (2022). Using the structure-behavior-function model in conjunction with augmented reality helps students understand the complexity of the circulatory system. Advances in Physiology Education, 46(3), 367–374. https://doi.org/10.1152/advan.00015.2022
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809
Hamdiyati, Y., Sudargo, F., Redjeki, S., & Fitriani, A. (2018). Perubahan model mental mahasiswa pada pokok bahasan virus melalui program perkuliahan mikrobiologi berbasis model mental. EDUSAINS, 10(1), 74–82. https://doi.org/10.15408/es.v10i1.7777
Johnson, S., Walker, S. E., Goulding, C. J., LoTemplio, S., & Zarestky, J. (2026). “Nature from My Perspective”: Leveraging Participatory Mental Modeling to Understand the Well-Being Impacts of Outdoor Retreats for Black Men. Ecopsychology, 18(1), 56-72. https://doi.org/10.1177/19429347251407579
Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference and consciousness. Cambridge University Press.
Kurnaz, M. A., & Eksi, C. (2015). An Analysis of High School Students ’ Mental Models of Solid Friction in Physics. Kuram ve Uygulamada Egitim Bilimleri, 15(3), 787–795. https://doi.org/10.12738/estp.2015.3.2526
Lata, P., & Hajam, Y. A. (2026). Introduction to male reproductive disorders. Nanotherapeut Treat Reprod Disord, 1-23.
Lin, F., Ma, L., & Sheng, Z. (2025). Health disorders in menopausal women: microbiome alterations, associated problems, and possible treatments. BioMedical Engineering OnLine, 24(1), 84. https://doi.org/10.1186/s12938-025-01415-3
Lin, Y. R., & Hung, C. Y. (2026). GAI-assisted self-regulation in science learning: the impact of interaction interfaces and content abstraction on flow and mental model construction. Education and Information Technologies, 31(10), 3369-3398. https://doi.org/10.1007/s10639-026-13921-5
Lira, M., & Gardner, S. M. (2020). Leveraging Multiple Analytic Frameworks to Assess the Stability of Students ’ Knowledge in Physiology. CBE-Life Sciences Education, 19(1), 1–19. https://doi.org/10.1187/cbe.18-08-0160
Mishra, N. R. (2023). Constructivist Approach to Learning: An Analysis of Pedagogical Models of Social Constructivist Learning Theory. Journal of Research and Development, 6(01), 22–29. https://doi.org/10.3126/jrdn.v6i01.55227
Momsen, J., Speth, E. B., Wyse, S., & Long, T. (2022). Using Systems and Systems Thinking to Unify Biology Education. CBE-Life Sciences Education, 21(2), 1–11. https://doi.org/10.1187/cbe.21-05-0118
Mustafa, M., Ioannidis, A., Ferreira González, L., Dabrowski, T., & Großschedl, J. (2021). Fostering Learning with Incremental Scaffolds During Chemical Experimentation: A Study on Junior High School Students Working in Peer-Groups. International Journal of Innovation in Science and Mathematics Education, 29(2). https://doi.org/10.30722/IJISME.29.02.002
Nasution, R. A., & Khairuna. (2022). Kombinasi CRI (Certainty of Response Index) dan Tes Pilihan Berganda dalam Menguji Tingkat Miskonsepsi Siswa Pada Materi Biologi Sistem Reproduksi Manusia. Jurnal Pembelajaran Dan Biologi Nukleus, 8(2), 373–385. https://doi.org/10.36987/jpbn.v8i2.2858
Neway, A. (2026). Enhancing Grade 11 Students’ Conceptual Understanding of Genetics through Technology-Enhanced Guided Inquiry-Based Learning (Doctoral dissertation).
Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge University Press.
Prayitno, B. A., Sugiharto, B., & Titikusumawati, E. (2022). Effectiveness of Collaborative Constructivist Strategies to Minimize Gaps in Students’ Understanding of Biological Concepts. International Journal of Emerging Technologies in Learning (IJET), 17(11), 114–127. https://doi.org/10.3991/ijet.v17i11.29891
Rachman, G., Wenno, I. H., Batlolona, J. R., Jamaludin, J., & Dulhasyim, A. B. P. (2026). An empirical and theoretical investigation using PBL: Students' mental models in understanding capillary rise. Momentum: Physics Education Journal, 10(1), 16-26. https://doi.org/10.21067/mpej.v10i1.13143
Salsabilla, F., & Melta, D. (2024). Misconceptions Among High School Students Regarding The Biological Concepts of Human Reproduction 1. Bioedunis Journal, 3(2), 163–176. https://doi.org/10.24952/bioedunis.v3i2.13876
Sanchez, T., Vereschak, O., & Deroy, O. (2026, March). Mental models in human-AI interaction: Systematic review of empirical methodologies and guidelines. In Proceedings of the 31st International Conference on Intelligent User Interfaces (pp. 663-682). https://doi.org/10.1145/3742413.3789223
Schroeder, N. L., Nesbit, J. C., Anguiano, C. J., & Adesope, O. O. (2017). Studying and Constructing Concept Maps : a Meta-Analysis. Educational Psychology Review, 30(2), 431–455. https://doi.org/10.1007/s10648-017-9403-9
Seel, N. M. (2017). Model-based learning : a synthesis of theory and research. In Educational Technology Research and Development. Springer US. https://doi.org/10.1007/s11423-016-9507-9
Shetty, P. K., Dindalkoppa, M., Rao, S. S., Pilli, G. S., & Sudhakar, S. (2025). Perception of case-based collaborative learning in pathology through panel discussion using concept mapping: a quasi-experimental crossover study in phase II MBBS students. BMC Medical Education, 26(1), 51. https://doi.org/10.1186/s12909-025-08334-w
Sholihah, M. A., Zubaidah, S., Mahanal, S., & Listyorini, D. (2025). The effect of reading-concept mapping-reciprocal teaching on students’ communication skills. Journal of Education and Learning (EduLearn), 19(1), 158-168. https://doi.org/10.11591/edulearn.v19i1.21765
Stavros, S., Kathopoulis, N., Moustakli, E., Potiris, A., Anagnostaki, I., Topis, S., ... & Zikopoulos, A. (2025). Endocrine-disrupting chemicals and Male infertility: mechanisms, risks, and regulatory challenges. Journal of Xenobiotics, 15(5), 165. https://doi.org/10.3390/jox15050165
Sunarto, M. D. (2025). Integrating AI in individualized mathematics learning: A teacher-centered approach. Indonesian Journal of Science and Mathematics Education, 8(3), 531-548.
Vergara-Diaz, C., Navarrete, K., Parraguez, C., & Cofré, H. (2026, March). Mental models of the earth’s internal structure among primary, middle and secondary school students in Chile. In Frontiers in Education (Vol. 11, p. 1737386). Frontiers Media SA. https://doi.org/10.3389/feduc.2026.1737386
Wahyuni, N., Suwono, H., & Lestari, U. (2019). Learning Difficulties of High School Students in Understanding. Jurnal Pendidikan Sains, 7(4), 116–121.
Walton, K. L. W. (2023). Use of a short , in-class drawing activity to assess student understanding of core concepts of the cell membrane in an undergraduate physiology course. Advances in Physiology Education, May 2023, 508–513. https://doi.org/10.1152/advan.00218.2022
Zhang, X., Zhang, L., & Xiang, W. (2025). The impact of mitochondrial dysfunction on ovarian aging. Journal of translational medicine, 23(1), 211. https://doi.org/10.1186/s12967-025-06223-w
Copyright (c) 2026 Journal La Edusci

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



