Exploring the Representational Competence of Eleventh-Grade Students on the Rates of Chemical Reactions
DOI:
https://doi.org/10.15294/jpii.v14i2.24509Keywords:
representative competency, scientific conception, scientific understanding, alternative conceptionsAbstract
Representational competence is a key component in learning chemistry, allowing students to interpret and apply multiple forms of representations to explain scientific phenomena. This competence supports deeper understanding, improved communication, and enhanced problem-solving. This study aimed to examine eleventh-grade students’ representational competence on the topic of chemical reaction rates. Data were collected using a short answer question with five scenarios, assessing five: 1) interpreting the meanings of chemical representations; 2) translating between different representations at the same level; 3) translating between different representations across levels; 4) using representations to generate explanations; and 5) connecting between representations and concepts. Descriptive statistics (mean, percentage, and standard deviation) were used for analysis. The results revealed an overall average score of 11.97 out of 30 (39.91%), indicating a moderate level of competence. While 78.95% of students performed at a moderate level and 21.05% at a low level, none reached a high level. Average scores by component showed moderate levels for interpreting representations (60.96%), generating explanations (51.75%), translating across levels (41.23%), and within levels (33.33%). The lowest performance was in connecting representations with concepts (12.28%), categorized as low. The findings suggest that students struggle particularly with integrating representations and concepts. Therefore, educators should design learning activities that explicitly connect multiple representations to conceptual understanding. This study provides insight into specific areas of difficulty and highlights the need for instructional strategies that target representational competence in abstract chemical topics, offering a practical contribution to chemistry education.
References
Adriaan Edelsbrunner, P., Hofer, S. I., Susac, A., Luan, H., Hübner, N., & Adriaan, P. (2024). Examining and comparing the relation between representational competence and conceptual knowledge across four samples. Frontiers in Education, 9, 1459603.
Ahmad, N. J., Yakob, N., Bunyamin, M. A. H., Winarno, N., & Akmal, W. H. (2021). The Effect of Interactive Computer Animation and Simulation on Students’ Achievement and Motivation in Learning Electrochemistry. Jurnal Pendidikan IPA Indonesia, 10(3), 311–324.
Ainsworth, S. (2006a). DeFT: A conceptual framework for considering learning with multiple representations. Learning and Instruction, 16(3), 183–198.
Amalia, F. R., Ibnu, S., Widarti, H. R., & Wuni, H. (2018). Students’ Mental Models of Acid and Base Concepts Taught Using Cognitive Apprenticeship Learning Model. Jurnal Pendidikan IPA Indonesia, 7(2), 187–192.
Anastas, P., Nolasco, M., Kerton, F., Kirchhoff, M., Licence, P., Pradeep, T., Subramaniam, B., & Moores, A. (2021). The Power of the United Nations Sustainable Development Goals in Sustainable Chemistry and Engineering Research. ACS Sustainable Chemistry and Engineering, 9(24), 8015–8017.
Avargil, S., & Piorko, R. (2022). High school students’ understanding of molecular representations in a context-based multi-model chemistry learning approach. International Journal of Science Education, 44(11), 1738–1766.
Badawi M, N., Agrawal, N., Luqman, M., Ramesh, S., Ramesh, K., Khan, M., & Adil, S. F. (2025). Developments and challenges in batteries, and hydrogen as a future fuel, and storage and carrier devices. International Journal of Hydrogen Energy, 105, 1242–1260.
Becker, N., Stanford, C., Towns, M., & Cole, R. (2015). Translating across macroscopic, submicroscopic, and symbolic levels: the role of instructor facilitation in an inquiry-oriented physical chemistry class. Chemistry Education Research and Practice, 16(4), 769–785.
Bergqvist, A., & Chang Rundgren, S. N. (2017). The influence of textbooks on teachers’ knowledge of chemical bonding representations relative to students’ difficulties understanding. Research in Science & Technological Education, 35(2), 215–237.
Chittleborough, G., & Treagust, D. (2008). Correct interpretation of chemical diagrams requires transforming from one level of representation to another. Research in Science Education, 38(4), 463–482.
Chonkaew, P., Sukhummek, B., & Faikhamta, C. (2019). STEM Activities in Determining Stoichiometric Mole Ratios for Secondary-School Chemistry Teaching. Journal of Chemical Education, 96(6), 1182–1186.
Creswell, J. W., & Guetterman, T. C. (2019). Educational Research_ Planning, Conducting, and Evaluating Quantitative and Qualitative Research-Pearson. 1–681.
Daniel, K. L., Bucklin, C. J., Austin Leone, E., & Idema, J. (2018). Towards a Definition of Representational Competence. 3–11.
Derman, A., & Ebenezer, J. (2020). The Effect of Multiple Representations of Physical and Chemical Changes on the Development of Primary Pre-service Teachers Cognitive Structures. Research in Science Education, 50(4), 1575–1601.
Edelsbrunner, P. A., Malone, S., Hofer, S. I., Küchemann, S., Kuhn, J., Schmid, R., Altmeyer, K., Brünken, R., & Lichtenberger, A. (2023). The relation of representational competence and conceptual knowledge in female and male undergraduates. International Journal of STEM Education, 10(1), 1–19.
Farida, I., Liliasari, L., Sopandi, W., & Widyantoro, D. H. (2017). A web-based model to enhance competency in the interconnection of multiple levels of representation for pre-service teachers. Ideas for 21st Century Education, 359–362.
Fu, B., Wu, X., Wang, S., & Zhao, W. (2024). Scientific principles for accelerating the Sustainable Development Goals. Geography and Sustainability, 5(2), 157–159.
García, E. G., Magaña, E. C., & Ariza, A. C. (2020). Quality Education as a Sustainable Development Goal in the Context of 2030 Agenda: Bibliometric Approach. Sustainability 2020, Vol. 12, Page 5884, 12(15), 5884.
Ghafar, Z. N. (2023). The Teacher-Centered and the Student-Centered: A Comparison of Two Approaches. International Journal of Arts and Humanities, 1(1), 18–23.
Gilbert, J. K., & Treagust, D. (2009). Multiple Representations in Chemical Education. 4.
Gkitzia, V., Salta, K., & Tzougraki, C. (2020). Students’ competence in translating between different types of chemical representations. Chemistry Education Research and Practice, 21(1), 307–330.
Gurung, E., Jacob, R., Bunch, Z., Thompson, B., & Popova, M. (2022). Evaluating the Effectiveness of Organic Chemistry Textbooks for Promoting Representational Competence. Journal of Chemical Education, 99(5), 2044–2054.
Herunata, H., Rosyida, I., Sulistina, O., & Wijaya, H. W. (2021). Correlational analysis of conceptual understanding, chemical representation, and representational competence on chemistry equilibrium. AIP Conference Proceedings, 2330(1).
Ismail, A., Isrokatun, I., Sari, L., Bhakti, D. D., & Kemalia, L. D. (2025). Augmented Reality-Problem Solving Lab: Does It Foster Elementary Students’ Understanding of Submicroscopic Phenomena in Physics? International Journal of Information and Education Technology, 15(5), 922–929.
Johnstone, A. H. (1993). The development of chemistry teaching: A changing response to changing demand. Journal of Chemical Education, 70(9), 701.
Kharissova, O. V., Kharisov, B. I., Oliva González, C. M., Méndez, Y. P., & López, I. (2019). Greener synthesis of chemical compounds and materials. Royal Society Open Science, 6(11), 191378.
Kozma, R., & Russell, J. (2005). Students Becoming Chemists: Developing Representationl Competence. Visualization in Science Education, 121–145.
Kwangmuang, P., Jarutkamolpong, S., Sangboonraung, W., & Daungtod, S. (2021). The development of learning innovation to enhance higher order thinking skills for students in Thailand junior high schools. Heliyon, 7(6), e07309.
Ling, Y., Ye, X., & Cao, M. (2024). Modeling Using Multiple Connected Representations: An Approach to Solving Problems in Chemical Education. Journal of Chemical Education, 101(6), 2395–2405.
Madden, S. P., Jones, L. L., & Rahm, J. (2011). The role of multiple representations in the understanding of ideal gas problems. Chemistry Education Research and Practice, 12(3), 283–293.
Magana, A. J., Arigye, J., Udosen, A., Lyon, J. A., Joshi, P., & Pienaar, E. (2024). Scaffolded team-based computational modeling and simulation projects for promoting representational competence and regulatory skills. International Journal of STEM Education, 11(1), 1–33.
Mishra, M., Desul, S., Santos, C. A. G., Mishra, S. K., Kamal, A. H. M., Goswami, S., Kalumba, A. M., Biswal, R., da Silva, R. M., dos Santos, C. A. C., & Baral, K. (2023). A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities. Environment, Development and Sustainability, 26(5), 11101–11143.
Moshood, T. D., Nawanir, G., Mahmud, F., Mohamad, F., Ahmad, M. H., & AbdulGhani, A. (2022). Biodegradable plastic applications towards sustainability: A recent innovations in the green product. Cleaner Engineering and Technology, 6, 100404.
Nelsen, I., Farheen, A., & Lewis, S. E. (2024). How ordering concrete and abstract representations in intermolecular force chemistry tasks influences students’ thought processes on the location of dipole–dipole interactions. Chemistry Education Research and Practice, 25(3), 815–832.
Nickel, S., Brockmüller, S., Boone, W. J., & Habig, S. (2025). Measuring representational competence – analyses of dimensionality and the relationship to general content knowledge. International Journal of Science Education, 1–25.
OECD. (2023). PISA 2022 Results (Volume I). OECD Publishing.
Pande, P., & Chandrasekharan, S. (2017). Representational competence: towards a distributed and embodied cognition account. Studies in Science Education, 53(1), 1–43.
Pande, P., & Chandrasekharan, S. (2022). Expertise as Sensorimotor Tuning: Perceptual Navigation Patterns Mark Representational Competence in Science. Research in Science Education, 52(2), 725–747.
Popova, M., & Jones, T. (2021). Chemistry instructors’ intentions toward developing, teaching, and assessing student representational competence skills. Chemistry Education Research and Practice, 22(3), 733–748.
Prain, V., & Tytler, R. (2012). Learning Through Constructing Representations in Science: A framework of representational construction affordances. International Journal of Science Education, 34(17), 2751–2773.
Rosyida, I., Rahayu, S., & Dasna, I. W. (2022). Instruments in Identifying Representational Competence in Chemistry: A Systematic Literature Review. Jurnal Pendidikan MIPA, 23(3), 1109–1111.
Santos, V. C., & Arroio, A. (2016). The representational levels: Influences and contributions to research in chemical education. Journal of Turkish Science Education, 13(1), 3–18.
Sarıtaş, D., Özcan, H., & Adúriz-Bravo, A. (2021). Observation and Inference in Chemistry Teaching: a Model-Based Approach to the Integration of the Macro and Submicro Levels. Science and Education, 30(5), 1289–1314.
Sim, J. H., & Daniel, E. G. S. (2014). Representational competence in chemistry: A comparison between students with different levels of understanding of basic chemical concepts and chemical representations. Cogent Education, 1(1).
Speight, J. G. (2019). Handbook of Industrial Hydrocarbon Processes | ScienceDirect. https://www.sciencedirect.com/book/9780128099230/handbook-of-industrial-hydrocarbon-processes?via=ihub=
Stieff, M., & DeSutter, D. (2021). Sketching, not representational competence, predicts improved science learning. Journal of Research in Science Teaching, 58(1), 128–156.
Stieff, M., Scopelitis, S., Lira, M. E., & Desutter, D. (2016). Improving Representational Competence with Concrete Models. Science Education, 100(2), 344–363.
Stroumpouli, C., & Tsaparlis, G. (2022). Chemistry students’ conceptual difficulties and problem solving behavior in chemical kinetics, as a component of an introductory physical chemistry course. Chemistry Teacher International, 4(3), 279–296.
Stull, A. T., & Hegarty, M. (2016). Model manipulation and learning: Fostering representational competence with virtual and concrete models. Journal of Educational Psychology, 108(4), 509–527.
Suknarusaithagul, N., Faikhamta, C., & Suwanruji, P. (2021). The Development of Grade 12 Students’ Representational Competence in Electrochemical Cell through Model-Based Learning. Journal of Education Khon Kaen University (EDKKUJ), 44(4), 84–99.
Suriyabutr, A., & Williams, J. (2021). Integrated STEM education in the thai secondary schools: challenge and addressing of challenges. Journal of Physics: Conference Series, 1957(1), 012025.
Taber, K. S. (2019). The Nature of the Chemical Concept: Re-constructing Chemical Knowledge in Teaching and Learning. In Food as Medicine (Issue March). The Royal Society of Chemistry. https://books.rsc.org/books/monograph/572/The-Nature-of-the-Chemical-Concept-Re-constructing
Talanquer, V. (2011). Macro, submicro, and symbolic: The many faces of the chemistry “triplet.” International Journal of Science Education, 33(2), 179–195.
Talanquer, V. (2022). The Complexity of Reasoning about and with Chemical Representations. JACS Au, 2(12), 2658–2669.
Tasker, R., & Dalton, R. (2008). Visualizing the Molecular World – Design, Evaluation, and Use of Animations. In J. K. Gilbert, M. Reiner, & M. Nakhleh (Eds.), Visualization: Theory and Practice in Science Education (Vol. 3, pp. 103–131). Springer, Dordrecht.
Volkwyn, T. S., Airey, J., Gregorcic, B., & Linder, C. (2020). Developing representational competence: linking real-world motion to physics concepts through graphs. Learning: Research and Practice, 6(1), 88–107.
Wang, L., Hodges, G., & Lee, J. (2022). Connecting Macroscopic, Molecular, and Symbolic Representations with Immersive Technologies in High School Chemistry: The Case of Redox Reactions. Education Sciences, 12(7).
Wichaidit, P. R., & Wichaidit, S. (2021). View of Using STEM Workshop to Elicit Chemistry Teachers’ Value of Hands-on Activity and Visualization. Srinakharinwirot Science Journal, 37(1), 36–55.
Yangjeen, S., Angboonpong, N., & Chaiwongsurarit, S. (2021). Analysing thai curriculum indicators on the basis of pisa competencies in science and mathematics. Journal of Physics: Conference Series, 1957(1), 012034.

