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Journal of Chemical Learning Innovation

an Open Access Journal

Improving Chemical Bonding Conceptual Understanding Using STAD Cooperative Learning Assisted by Interactive Media

Siong Tang
Head of School of Science and Engineering
Brunei Darussalam
siongtank32@gmail.com
Lloyd Arvin Malalua
Father Saturnino Urios University ROR
Philippines
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  • Purpose of the study: This study aims to investigate the effectiveness of the Cooperative Learning model type STAD supported by interactive presentation media on students’ conceptual understanding of chemical bonding.

    Methodology: A quasi-experimental design with a non-equivalent control group was employed, involving two groups of secondary school students. The experimental group was taught using the STAD model integrated with interactive media, while the control group received conventional instruction. Data were collected through pre-test and post-test instruments, which were validated and tested for reliability.

    Main Findings: The results showed that the experimental group achieved a higher post-test mean score (82.13) compared to the control group (68.27), with an N-gain of 0.67 indicating medium–high improvement. Statistical analysis revealed a significant difference between the two groups (p < 0.05), confirming the effectiveness of the intervention.

    Novelty/Originality of this study: The novelty of this study lies in the integration of cooperative learning and interactive media with a specific focus on conceptual understanding in chemical bonding. These findings suggest that such an approach can significantly enhance students’ learning outcomes in chemistry education.

  • How to cite

    [1]
    S. Tang and L. A. . Malalua, “Improving Chemical Bonding Conceptual Understanding Using STAD Cooperative Learning Assisted by Interactive Media”, Jor. Chem. Lea. Inn, vol. 2, no. 2, pp. 274–282, Dec. 2025, doi: 10.37251/jocli.v2i2.2966.

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    1. Haryanto et al., “The effect of problem-based learning model on generic science skills and creative thinking skills in science learning,” J. Pendidik. MIPA, vol. 25, no. 6, pp. 723–731, 2024, doi: 10.23960/jpmipa/v25i3.pp1022-1036. DOI: https://doi.org/10.23960/jpmipa/v25i3.pp1022-1036
    2. M. Ben Ouahi, D. Lamri, T. Hassouni, and E. M. Al Ibrahmi, “Science teachers’ views on the use and effectiveness of interactive simulations in science teaching and learning,” Int. J. Instr., vol. 15, no. 1, pp. 277–292, 2022, doi: 10.29333/iji.2022.15116a. DOI: https://doi.org/10.29333/iji.2022.15116a
    3. Zainuddin et al., “The correlation of scientific knowledge-science process skills and scientific creativity in creative responsibility based learning,” Int. J. Instr., vol. 13, no. 3, pp. 307–316, 2020, doi: 10.29333/iji.2020.13321a. DOI: https://doi.org/10.29333/iji.2020.13321a
    4. K. M. Baker, K. W. Stickney, and D. D. Sachs, “STEM cooperating teachers’ professional growth: The positive impacts of a year-long clinical residency collaboration,” Educ. Sci., vol. 14, no. 8, 2024, doi: 10.3390/educsci14080899. DOI: https://doi.org/10.3390/educsci14080899
    5. I. Eilks, “Science education and education for sustainable development - justifications, models, practices and perspectives,” Eurasia J. Math. Sci. Technol. Educ., vol. 11, no. 1, pp. 149–158, 2015, doi: 10.12973/eurasia.2015.1313a. DOI: https://doi.org/10.12973/eurasia.2015.1313a
    6. A. Henne, S. Syskowski, M. Krug, P. Möhrke, L. J. Thoms, and J. Huwer, “How to evaluate augmented reality embedded in lesson planning in teacher education,” Educ. Sci., vol. 14, no. 3, 2024, doi: 10.3390/educsci14030264. DOI: https://doi.org/10.3390/educsci14030264
    7. L. Kano, E. W. K. Tsang, and H. W. chung Yeung, “Global value chains: A review of the multi-disciplinary literature,” J. Int. Bus. Stud., vol. 51, no. 4, pp. 577–622, 2020, doi: 10.1057/s41267-020-00304-2. DOI: https://doi.org/10.1057/s41267-020-00304-2
    8. K. Sun, “Bridging the sustainability gap in rural health equity: Policy evaluation and transnational lessons from Guizhou’s targeted medical assistance program,” Front. Public Heal., vol. 13, no. 2, pp. 108-115, 2025, doi: 10.3389/fpubh.2025.1621223. DOI: https://doi.org/10.3389/fpubh.2025.1621223
    9. A. P. Knapp, W. Rehmus, and A. Y. Chang, “Skin diseases in displaced populations: A review of contributing factors, challenges, and approaches to care,” Int. J. Dermatol., vol. 59, no. 11, pp. 1299–1311, 2020, doi: 10.1111/ijd.15063. DOI: https://doi.org/10.1111/ijd.15063
    10. A. R. M. Warfa, J. Nyachwaya, and G. Roehrig, “The influences of group dialog on individual student understanding of science concepts,” Int. J. STEM Educ., vol. 5, no. 1, 2018, doi: 10.1186/s40594-018-0142-3. DOI: https://doi.org/10.1186/s40594-018-0142-3
    11. M. A. Lala, Z. O. Olomowewe, A. T. Adeniyi, and A. Giwa, “Maize cob-derived activated carbon as an adsorbent for the removal of nickel (II) cation from aqueous solution: Optimization and kinetic studies,” Arab J. Basic Appl. Sci., vol. 30, no. 1, pp. 573–582, 2023, doi: 10.1080/25765299.2023.2266230. DOI: https://doi.org/10.1080/25765299.2023.2266230
    12. G. E. Uno, “Botanical literacy: What and how should students learn about plants?,” Am. J. Bot., vol. 96, no. 10, pp. 1753–1759, 2009, doi: 10.3732/ajb.0900025. DOI: https://doi.org/10.3732/ajb.0900025
    13. M. A. Martawijaya, S. Rahmadhanningsih, A. Swandi, M. Hasyim, and E. H. Sujiono, “Effect of applying the ethno-stem-project-based learning model on students’ higher-order thinking skill and misconception of physics topics related to Lake Tempe, Indonesia,” J. Pendidik. IPA Indones., vol. 12, no. 1, pp. 1–13, 2023, doi: 10.15294/jpii.v12i1.38703. DOI: https://doi.org/10.15294/jpii.v12i1.38703
    14. E. Purwanti and H. Heldalia, “Critical thinking ability: analysis of flat mirror reflection material,” Schrödinger J. Phys. Educ., vol. 4, no. 1, pp. 12–17, 2023, doi: 10.37251/sjpe.v4i1.493. DOI: https://doi.org/10.37251/sjpe.v4i1.493
    15. Z. F. Siddique, L. Nahar, and F. Mahmood, “Autoethnographic projection of climate change education through project-based learning : Perspectives from early career scholars,” vol. 6, no. 1, pp. 38–46, 2025, doi: 10.37251/isej.v6i1.1170. DOI: https://doi.org/10.37251/isej.v6i1.1170
    16. M. Cockerill, T. Grieveson, S. Bingham, and J. O’Keeffe, “Promoting high achievement for disadvantaged students: Co-designing a school self-evaluation process aligned to evidence of successful leadership practice across five english districts,” Educ. Sci., vol. 15, no. 1, 2025, doi: 10.3390/educsci15010052. DOI: https://doi.org/10.3390/educsci15010052
    17. N. I. Halil, H. Yawan, A. N. Hasanah, H. Syam, N. H. Andas, and Marhamah, “A new program to foster inclusion: Unraveling language teachers’ pedagogical practices to differentiated instruction,” Int. J. Lang. Educ., vol. 8, no. 2, pp. 370–383, 2024, doi: 10.26858/ijole.v8i2.64997. DOI: https://doi.org/10.26858/ijole.v8i2.64997
    18. E. W. Simamora, “The effect of student team achievement division cooperative learning on the concept understanding ability of mathematic,” vol. 104, no. 22, pp. 407–411, 2017, doi: 10.2991/aisteel-17.2017.87. DOI: https://doi.org/10.2991/aisteel-17.2017.87
    19. O. Chernikova, N. Heitzmann, M. Stadler, D. Holzberger, T. Seidel, and F. Fischer, “Simulation-based learning in higher education: a meta-analysis,” Rev. Educ. Res., vol. 90, no. 4, pp. 499–541, 2020, doi: 10.3102/0034654320933544. DOI: https://doi.org/10.3102/0034654320933544
    20. S. S. Atmoko, D. E. Kumala, P. Gatsinzi, and U. S. Usman, “Increasing activity and science learning outcomes vibrations, waves and sound matter through STAD model,” Schrödinger J. Phys. Educ., vol. 5, no. 1, pp. 16–23, 2024, doi: 10.37251/sjpe.v5i1.880. DOI: https://doi.org/10.37251/sjpe.v5i1.880
    21. İ. Yaman, M. Şenel, and D. B. A. Yeşilel, “Exploring the extent to which ELT students utilise smartphones for language learning purposes,” South African J. Educ., vol. 35, no. 4, pp. 1–9, 2015, doi: 10.15700/saje.v35n4a1198. DOI: https://doi.org/10.15700/saje.v35n4a1198
    22. Syaiful, Kamid, D. A. Kurniawan, and P. A. Rivani, “The impact of project-based learning on students’ achievement in mathematics,” J. Educ. Res. Eval., vol. 5, no. 4, pp. 558–567, 2021, doi: 10.48081/kxbi5168. DOI: https://doi.org/10.23887/jere.v5i4.37183
    23. B. R. Meganingtyas, R. Winarni, and T. Murwaningsih, “The effect of using course review horay and talking stick learning methods towards social science learning result reviewed from learning interest,” Int. J. Educ. Res. Rev., vol. 4, no. 2, pp. 190–197, 2019, doi: 10.24331/ijere.518053. DOI: https://doi.org/10.24331/ijere.518053
    24. U. Cahyana, S. Supatmi, Erdawati, and Y. Rahmawati, “The influence of web-based learning and learning independence toward student’s scientific literacy in chemistry course,” Int. J. Instr., vol. 12, no. 4, pp. 655–668, 2019, doi: 10.29333/iji.2019.12442a. DOI: https://doi.org/10.29333/iji.2019.12442a
    25. R. K. Jena, “Predicting students’ learning style using learning analytics: A case study of business management students from India,” Behav. Inf. Technol., vol. 37, no. 10–11, pp. 978–992, 2018, doi: 10.1080/0144929X.2018.1482369. DOI: https://doi.org/10.1080/0144929X.2018.1482369
    26. Y. Rahmawati, A. Ridwan, and T. Hadinugrahaningsih, “Promoting students’ critical thinking through socio-critical and problem-oriented chemistry education: A case study.,” Turkish J. Sci. Educ., vol. 17, no. 2, pp. 200–214, Jun. 2020, doi: 10.36681/tused.2020.20. DOI: https://doi.org/10.36681/tused.2020.20
    27. J. Holguin-Alvarez, J. Cruz-Montero, J. Ruiz-Salazar, R. L. Atoche Wong, and I. Merino-Flores, “Effects of feedback dynamics and mixed gamification on cognitive underachievement in school,” Contemp. Educ. Technol., vol. 17, no. 1, pp. 1–25, 2025, doi: 10.30935/cedtech/15717. DOI: https://doi.org/10.30935/cedtech/15717
    28. P. M. I. Seraj and A. Rahmatullah, “Systematic literature review on the use of applications of smartphones for teaching English in EFL contexts,” J. English Educ. Teach., vol. 6, no. 3, pp. 347–366, 2022, doi: 10.33369/jeet.6.3.347-366. DOI: https://doi.org/10.33369/jeet.6.3.347-366
    29. O. J. Ballance, “Sampling and randomisation in experimental and quasi-experimental CALL studies: Issues and recommendations for design, reporting, review, and interpretation,” ReCALL, vol. 36, no. 1, pp. 58–71, 2024, doi: 10.1017/S0958344023000162. DOI: https://doi.org/10.1017/S0958344023000162
    30. A. O. Olowoyeye, K. O. Musa, and O. T. Aribaba, “Outcome of training of maternal and child health workers in Ifo Local Government Area, Ogun State, Nigeria, on common childhood blinding diseases: a pre-test, post-test, one-group quasi-experimental study,” BMC Health Serv. Res., vol. 19, no. 1, pp. 430–440, 2019, doi: 10.1186/s12913-019-4272-1. DOI: https://doi.org/10.1186/s12913-019-4272-1
    31. P. Nahrisah, R. Somrongthong, N. Viriyautsahakul, P. Viwattanakulvanid, and S. Plianbangchang, “Effect of integrated pictorial handbook education and counseling on improving anemia status, knowledge, food intake, and iron tablet compliance among anemic pregnant women in Indonesia: A quasi-experimental study,” J. Multidiscip. Healthc., vol. 13, no. 1, pp. 43–52, Jan. 2020, doi: 10.2147/JMDH.S213550. DOI: https://doi.org/10.2147/JMDH.S213550
    32. V. Schneider and A. Rohmann, “Arts in Education: A Systematic Review of Competency Outcomes in Quasi-Experimental and Experimental Studies,” Front. Psychol., vol. 12, no. April, pp. 1–13, 2021, doi: 10.3389/fpsyg.2021.623935. DOI: https://doi.org/10.3389/fpsyg.2021.623935
    33. L. Molefe and J. B. Aubin, “Exploring how science process skills blend with the scientific process: Pre-service teachers’ views following fieldwork experience,” South African J. Educ., vol. 41, no. 2, pp. 1–13, 2021, doi: 10.15700/saje.v41n2a1878. DOI: https://doi.org/10.15700/saje.v41n2a1878
    34. A. Abulibdeh, E. Zaidan, and R. Abulibdeh, “Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions,” J. Clean. Prod., vol. 437, no. January, p. 140527, 2024, doi: 10.1016/j.jclepro.2023.140527. DOI: https://doi.org/10.1016/j.jclepro.2023.140527
    35. A. Liberati et al., “The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration,” PLoS Med., vol. 6, no. 7, pp. 1–28, 2009, doi: 10.1371/journal.pmed.1000100. DOI: https://doi.org/10.1371/journal.pmed.1000100
    36. Z. Zhang, Z. S. Zhang, X. Wang, G. L. Xi, Z. Jin, and Y. Z. Tang, “A click chemistry approach to pleuromutilin derivatives, evaluation of anti-MRSA activity and elucidation of binding mode by surface plasmon resonance and molecular docking,” J. Enzyme Inhib. Med. Chem., vol. 36, no. 1, pp. 2087–2103, 2021, doi: 10.1080/14756366.2021.1977931. DOI: https://doi.org/10.1080/14756366.2021.1977931
    37. M. D. W. Ernawati, Sudarmin, Asrial, D. Muhammad, and Haryanto, “Creative thinking of chemistry and chemistry education students in biochemistry learning through problem based learing with scaffolding strategy,” J. Pendidik. IPA Indones., vol. 11, no. 2, pp. 282–295, 2022, doi: 10.15294/jpii.v11i2.33842. DOI: https://doi.org/10.15294/jpii.v11i2.33842
    38. Y. Karaca, “Computational complexity-based fractional-order neural network models for the diagnostic treatments and predictive transdifferentiability of heterogeneous cancer cell propensity,” Chaos Theory Appl., vol. 5, no. 1, pp. 34–51, 2023, doi: 10.51537/chaos.1249532. DOI: https://doi.org/10.51537/chaos.1249532
    39. A. B. Soares, R. Ribeiro, P. R. S. da S. Alves, M. E. de M. Jardim, and C. A. C. de Medeiros, “Time management: What do university students think about it?,” Rev. Estud. e Investig. en Psicol. y Educ., vol. 10, no. 1, pp. 1–14, 2023, doi: 10.17979/reipe.2023.10.1.9468. DOI: https://doi.org/10.17979/reipe.2023.10.1.9468
    40. V. Batdı, Y. Doğan, and T. Talan, “Effectiveness of online learning: a multi-complementary approach research with responses from the COVID-19 pandemic period,” Interact. Learn. Environ., vol. 31, no. 7, pp. 4113–4146, 2023, doi: 10.1080/10494820.2021.1954035. DOI: https://doi.org/10.1080/10494820.2021.1954035