Abstract
This chapter proposes model-based science teaching as a promising approach for science education in Latin America. The discussion is organized around two main areas of this line of research: organizing the curriculum around science school models and designing and implementing teaching and learning sequences for school classrooms. This chapter presents examples of research conducted in Latin America. It highlights the consensus that has been reached and the contributions made to the global academic discussion. The chapter also identifies areas where further research is needed to address the challenges of science education in the Global South. The aim is to inspire researchers, teacher educators, and teachers to promote science education that contributes to citizenship education.
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References
Acher, A., Arcà, M., & Sanmartí, N. (2007). Modelling as a teaching learning process for understanding materials: A case study in primary education. Science Education, 91(3), 398–418. https://doi.org/10.1002/sce
Adúriz-Bravo, A. (2012). Some key features of scientific models relevant to chemical education. Chemical Education, 23(Suppl. 2), 248–256.
Adúriz-Bravo, A. (2013). A ‘semantic’ view of scientific models for science education. Science & Education, 22(7), 1593–1611.
Adúriz-Bravo, A. (2020). Contributions to the nature of science. Scientific investigation as inquiry, modelling, and argumentation. In C. El-Hani, M. Pietrocola, E. Mortimer, & M. Otero (Eds.), Science education research in Latin America (Cultural and historical perspectives on science education) (pp. 394–425). Brill | Sense.
Adúriz-Bravo, A., & Izquierdo-Aymerich, M. (2009). Un modelo de modelo científico para la enseñanza de las ciencias naturales. Revista electrónica de investigación en educación en ciencias, (ESP), 40–49.
Adúriz-Bravo, A., & Izquierdo-Aymerich, M. (2009a). A research-informed instructional unit to teach the nature of science to pre-service science teachers. Science & Education, 18(9), 1177–1192.
Adúriz-Bravo, A., & Izquierdo-Aymerich, M. (2009b). A model of scientific model for the teaching of natural sciences. Electronic Journal of Research in Science Education, 4, 40–49.
Adúriz-Bravo, A., Bonan, M., Acosta, P., & Deivi, J. (2021). Scientific, didactical and analogical models in the teaching of natural sciences. In M. Quintanilla & A. Adúriz-Bravo (Eds.), Science teaching for a new teaching culture: Challenges and opportunities (pp. 83–102). Ediciones Universidad Católica de Chile.
Aliberas, J., Gutiérrez, R., & Izquierdo, M. (2017). Introduction to a method for conducting and analyzing didactical dialogues based on the evaluation of mental models. Science Education. Journal of Research and Didactical Experiences, 35(2), 7–28. https://doi.org/10.5565/rev/ensciencias.2028
Ariza, Y., Lorenzano, P., & Adúriz-Bravo, A. (2016). Meta-theoretical contributions to the constitution of a model-based didactics of science. Science & Education, 25(7), 747–773.
Baek, H., Schwarz, C., Chen, J., Hokayem, H., & Zhan, L. (2011). Engaging elementary students in scientific modelling: The MoDeLS fifth-grade approach and findings. In Models and modelling (pp. 195–218). Springer.
Bahamonde, N., & Gómez Galindo, A. A. (2016). Characterization of human digestion models based on their representations and analysis of their evolution in a group of teachers and academic assistants. Science Education, 34(1), 129–147. https://doi.org/10.5565/rev/ensciencias.1748
Caamaño, A. (2006). Retos del currículum de química en la educación secundaria. La selección y contextualización de los contenidos de química en los currículos de Inglaterra, Portugal, Francia y España. Educación Química, 17(2), 195–208.
Caamaño, A. (2011). Contextualization, inquiry and modelling. Three approaches to learning scientific competence in chemistry classes. Classroom of Educational Innovation, 207, 17–21.
Caamaño, A. (2018). Enseñar química en contexto: un recorrido por los proyectos de química en contexto desde la década de los 80 hasta la actualidad. Educación química, 29(1), 21–54.
Chiu, M. H., & Lin, J. W. (2019). Modeling competence in science education. Disciplinary and Interdisciplinary Science Education Research, 1(1), 1–11.
Chu, S. L., Deuermeyer, E., & Quek, F. (2018). Supporting scientific modeling through curriculum-based making in elementary school science classes. International Journal of Child-Computer Interaction, 16, 1–8.
Clement, J., & Rea-Ramirez, M. (2009). Model Based Learning and Instruction in Science. Springer.
Contreras, S., & González, A. (2014). La selección de contenidos conceptuales en los programas de estudio de Química y Ciencias Naturales chilenos: análisis de los niveles macroscópico, microscópico y simbólico. Educación química, 25(2), 97–103.
Cortés-Morales, A. (2020). The construction of the chemical change model in secondary education: Analysis of a teacher training course on the science project, 12–15.
Couso, D. (2020). Learning school science involves building increasingly sophisticated models of world phenomena. In D. Couso, M. R. Jiménez-Liso, C. Refojo, & J. A. Sacristán (Coords.), Teaching Science with Science (pp. 63–74). FECYT & Lilly Foundation/Penguin Random House. https://www.fecyt.es/es/publicacion/ensenando-ciencia-con-ciencia
Couso D., & Adúriz-Bravo, A. (2016). Development of competency teaching units in the professional training of science teachers. In G. A. Perafán Echeverri, E. Badillo Jiménez, & A. Adúriz-Bravo (Coord.), Knowledge and emotions of teachers contributions to their development and didactic implications (pp. 265–283) Editorial Aula de Humanidades.
Criado, A. M., Cruz-Guzmán, M., García-Carmona, A., & Cañal, P. (2014). How to improve the national science curriculum of Spanish primary education. Suggestions from a comparative analysis of goals and content with England and the USA. Enseñanza de las Ciencias, 32(3), 249–266.
Erduran, S., Kaya, E., & Cetin, P. S. (2017). Consolidation of conceptual change, argumentation, models and explanations: Why it matters for science education. In Converging perspectives on conceptual change (pp. 151–162). Routledge.
Fensham, P. (2016). The future curriculum for school science: What can be learnt from the past? Research in Science Education, 46(2), 165–185.
Galagovsky, L., & Adúriz-Bravo, A. (2001). Models and analogies in the teaching of natural sciences. The concept of analog didactical model. Science Education, 19(2), 231–242.
Garrido Espeja, A. (2016). Modelització i models en la formació inicial de mestres de primària desde la perspectiva de la pràctica científica. Universitat Autònoma de Barcelona. https://ddd.uab.cat/pub/tesis/2016/hdl_10803_399837/age1de1.pdf
Garrido, N., López, V., & Pintó, R. (2019). Analysis of the learning of electrostatic concepts in pre-service physics teachers. Journal of Physics: Conference Series, 1287(1), 012034. IOP Publishing.
Garrido, A., Soto, M., & Couso, D. (2022). Initial training of science teachers: Possible contributions and tensions of modelling. Science Education. Journal of Research and Didactic Experiences, 40(1), 87–105. https://doi.org/10.5565/rev/ensciencias.3286
Gelfert, A. (2017). The ontology of models. In L. Magnani & T. Bertolotti (Eds.), Springer handbook of model-based science (pp. 5–24). Springer.
Giere, R. N. (2004). How models are used to represent reality. Philosophy of Science, 71(5), 742–752.
Gilbert, J. K. (2013). Representations and models. In R. Tytler, V. Prain, P. Hubber, & B. Waldrip (Eds.), Constructing representations to learn in science (pp. 193–198). Sense Publishers.
Gilbert, J. K., & Justi, R. (2016). Models of modelling. In Modelling-based teaching in science education (pp. 17–40). Springer.
Gómez, A. A., Solsona, N., & Pujol, R. M. (2007). Fundamentación teórica y diseño de una unidad didáctica para la enseñanza del modelo ser vivo en la escuela primaria. Enseñanza de las ciencias: revista de investigación y experiencias didácticas, 325–340.
González, A., Lizana, P., Pino, S., Miller, B., & Merino, C. (2020). Augmented reality-based learning improves visual representation and comprehension of the cardiac anatomy and function in undergraduate students. Advances in Physiology Education, 44(3), 314–322. https://doi.org/10.1152/advan.00137.2019
Greca, I. M., & Moreira, M. A. (2000). Mental models, conceptual models, and modelling. International Journal of Science Education, 22(1), 1–11.
Halloun, I. (2016). Mediated modelling in science education. Science & Education, 16(6–7), 1–32. https://doi.org/10.1007/s11191-006-9004-3
Harlen, W. (2010). Principios y grandes ideas de la educación científica.
Hernández, M. I., Couso, D., & y Pintó, R. (2015). Analyzing students’ learning progressions Throug-hout a teaching sequence on acoustic properties of materials with a model-based inquiry Ap-proach. Journal of Science Education and Technology, 24(2–3), 356–377.
Hodson, D. (2009). Teaching and learning about science: Language, theories, methods, history, traditions and values. Brill.
Holme, T., Luxford, C., & Murphy, K. (2015). Updating the general chemistry anchoring concepts content map. Journal of Chemical Education, 92(6), 1115–1116.
Izquierdo, M. (2007). Teaching science, a new science. Social Science Education, 6, 125–138.
Izquierdo, M., Sanmartí, N., & Espinet, M. (1999). Foundation and design of school practices of experimental sciences. Science Education: Journal of Research and Didactic Experiences, 17(1), 45–59.
Izquierdo-Aymerich, M., & Adúriz-Bravo, A. (2003). Epistemological foundations of school science. Science and Education, 12, 27–43.
Izquierdo-Aymerich, M., & Adúriz-Bravo, A. (2021). Giere’s contributions to the reflection on science education. Artifacts. Journal of Science and Technology Studies, 10(1), 75–87. https://doi.org/10.14201/art20211017587
Izquierdo-Aymerich, M., & Aliberas, J. (2004). Think, write and act to the class of sciences. Per un ensenyament de les ciències racional i raonable. Servei Publicacions, UAB.
Justi, R. (2006). Modelling-based science education. Science Education. Journal of Research and Didactic Experiences, 24(2), 173–184. https://doi.org/10.5565/rev/ensciencias.3798
Khan, S. (2011). What’s missing in model-based teaching. Journal of Science Teacher Education, 22(6), 535–560. https://doi.org/10.1007/s10972-011-9248-x
Krajcik, J., & Mun, K. (2014). Promises and challenges of using learning technologies to promote student learning of science. In N. G. Lederman & S. K. Abell (Eds.), Handbook of research on science education, volume II (1st ed.). Routledge. https://doi.org/10.4324/9780203097267
Lizana, P., Merino, C., Bassaber, A., Henríquez, R., Vega-Fernández, G., & Binvignat, O. (2015). Learning human anatomy using three-dimensional models made from real-scale bone pieces: Experience with the knee joint among pre-service biology teachers. International Journal of Morphology, 33(4), 1299–1306. https://doi.org/10.4067/S0717-95022015000400018
López, V., & Pintó, R. (2012). Ensenyar energia a secundària. Physics Resources, 1971, 1–9.
López-Cortés, F., Ravanal Moreno, E., Palma Rojas, C., & Merino, C. (2021). Levels of external representation of secondary school students about mitotic cell division: An experience with augmented reality. Pixel-Bit. Media and Education Magazine, 62, 7–37. https://doi.org/10.12795/pixelbit.84491
López-Mota, Á., & Moreno-Arcuri, G. (2014). Theoretical support and methodological description of the process of obtaining design and validation criteria for didactic sequences based on models: The case of the fermentation phenomenon. Biography, 7(13), 109–126.
Machado, J., & Braga, M. (2018). Secondary students’ modelling conceptualisation in situations related to particle dynamics: A clinical perspective. International Journal of Science Education, 40(13), 1606–1628.
Maia, P. F., & Justi, R. (2009). Learning of chemical equilibrium through modelling-based teaching. International Journal of Science Education, 31(5), 603–630. https://doi.org/10.1080/09500690802538045
Marzábal, A., Delgado, V., Moreira, P., Merino, C., Cabello, V. M., Manrique, F., et al. (2021). The matter, chemical reaction and thermodynamic models as structuring cores of a citizenship-oriented school chemistry. Educación química, 32(4), 109–126.
Matthews, M. R. (2014). Science teaching: The contribution of history and philosophy of science. Routledge.
Merino, C., & Izquierdo, M. (2011). Contributions to modelling according to chemical change. Chemistry Education, 22(3), 212–223.
Merino, C., Pino, C., Meyer, E., Garrido, J. M., & Gallardo, F. (2015). Augmented reality for the design of teaching-learning sequences in chemistry. Chemical Education, 26(2), 94–99. https://doi.org/10.1016/j.eq.2015.04.004
Merino, C., Moreira, P., & Marzábal, A. (2019). Systemic analysis of the evolution of the components of the students’ electrical model. Didacticae, 5, 26–42. https://doi.org/10.1344/did.2019.5.26-42
Merino, C., Marzábal, A., Quiroz, W., Pino, S., López, F., Carrasco, X., & Miller, B. (2022a). Use of augmented reality in chromatography learning: How is this dynamic visual artifact fostering the visualization capacities of chemistry undergraduate students? Frontiers in Education, 7, 932713. https://doi.org/10.3389/FEDUC.2022.932713
Merino, C., Iturbe-Saric, C., Miller, B., Parent, C., Phillips, J., Pino, S., Garrido, J. M., Arenas, A., & Zamora, J. (2022b). Snailed it! Inside the shell: Using augmented reality as a window into biodiversity. Frontiers in Education, 7, 933436. https://doi.org/10.3389/feduc.2022.933436
Nersessian, N. J. (2008). Creating scientific concepts. MIT.
Neumann, K., Viering, T., Boone, W. J., & Fischer, H. E. (2013). Towards a learning progression of energy. Journal of Research in Science Teaching, 50(2), 162–188. https://doi.org/10.1002/tea.21061
Nicolaou, C. T., & Constantinou, C. P. (2014). Assessment of the modelling competence: A systematic review and synthesis of empirical research. Educational Research Review, 13, 52–73.
NRC. (2013). Next generation science standards: For states, by states. National Academies Press.
Occelli, M., Pomar, S., & Gómez, A. (2022). Modelling and construction of external representations of protein synthesis: A design studio in High School. Didactics of Experimental and Social Sciences, 42, 119–136.
Oliva, J. (2019). Different definitions for the idea of modelling in science education. Science Education, 37(2), 5–24. https://doi.org/10.5565/rev/ensciencias.2648
Osborne, J. (2014). Teaching scientific practices: Meeting the challenge of change. Journal of Science Teacher Education, 25(2), 177–196. https://doi.org/10.1007/s10972-014-9384-1
Pérez, G. M., Galindo, A. A. G., & Galli, L. G. (2018). Enseñanza de la evolución: fundamentos para el diseño de una propuesta didáctica basada en la modelización y la metacognición sobre los obstáculos epistemológicos. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias, 15(2), 210101–210113.
Pintó, R., Couso, D., & Gutierrez, R. (2005). Using research on teachers’ transformations of innovations to inform teacher education. The case of energy degradation. Science Education, 89(1), 38–55. https://doi.org/10.1002/sce.20042
Quílez Pardo, J. (2005). Bases para una propuesta de tratamiento de las interacciones CTS dentro de un currículum cerrado de química. Educación química, 16(3), 416–436.
Raviolo, A., Garritz, A., & Sosa, P. (2011). Sustancia y reacción química como conceptos centrales en química. Una discusión conceptual, histórica y didáctica. Revista Eureka sobre Enseñanza y Divulgación de las. Ciencias, 8(3), 240–254.
Rodriguez-Pineda, D. P., & Faustinos Garrido, M. (2021). Modelling of the origin of earthquakes from the School scientific model of arrival of plate tectonics. Biography. https://revistas.pedagogica.edu.co/index.php/bio-grafia/article/view/15677
Salinas, I., Covitt, B. A., & Gunckel, K. L. (2013). Substances in water: Learning progressions to design curricular interventions. Chemistry Education, 24(4), 391–398.
Schwarz, C., Reiser, B., Davis, E., Kenyon, L., Achér, A., Fortus, D., & Krajcik, J. (2009). Developing a learning progression for scientific modelling: Making scientific modelling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632–654. https://doi.org/10.1002/tea.20311
Scott, P., Asoko, H., & Leach, J. (2007). Students conceptions and conceptual learning in science. In S. Abell & N. Lederman (Eds.), Handbook of Research on Science Education (pp. 31–56). Lawrence Elrbaum Associates Publishers.
Sosa, P., & El Méndez, N. (2011). problema del lenguaje en la enseñanza de los conceptos compuesto, elemento y mezcla. Educació Química, 8, 44–51.
Soto, M., Couso, D., López, V., & Hernández, M. I. (2017). Promoting the appropriation of the energy model in 4or ESO students through didactic design. Apex. Journal of Science Education, 1(1), 90–106. https://doi.org/10.17979/arec.2017.1.1.2003
Soto, M., Couso, D., & López, V. (2019). A teaching-learning proposal focused on the analysis of the energy path “step by step”. Eureka Journal on Science Teaching and Dissemination, 16(1), 1202–1201. https://doi.org/10.25267/Rev
Soto, M., Couso, D., & Pintó, R. (2021). Modelling in pre-service secondary school teacher education: Developing a school scientific model of energy. Journal of Physics: Conference Series, 1929(1), 012087). IOP Publishing. https://doi.org/10.1088/1742-6596/1929/1/012087
Talanquer, V. (2009). On cognitive constraints and learning progressions: The case of “structure of matter”. International Journal of Science Education, 31(15), 2123–2136.
Talanquer, V. (2013). When atoms want. Journal of Chemical Education, 90(11), 1419–1424.
Talanquer, V. (2016). Central ideas in chemistry: An alternative perspective. Journal of Chemical Education, 93(1), 3–8.
Tamayo, O., & Sanmartí, N. (2007). High-school students’ conceptual evolution of the respiration concept from the perspective of Giere’s cognitive science model. International Journal of Science Education, 29(2), 215–248. https://doi.org/10.1080/09500690600620854
Thagard, P. (2010). How brains make mental models. In L. Magnani, W. Carnielli, & C. Pizzi (Eds.), Model-based reasoning in science and technology. Studies in computational intelligence (pp. 447–461). Springer.
Vergara, C. (2022). Analysis of teacher discourse in modelling activities on forces and movement. Universitat Autònoma de Barcelona.
Vo, T., Forbes, C., Zangori, L., & Schwarz, C. V. (2019). Longitudinal investigation of primary inservice teachers’ modelling the hydrological phenomena. International Journal of Science Education, 41(18), 2788–2807. https://doi.org/10.1080/09500693.2019.1698786
Vosniadou, S. (2002). Mental models in conceptual development. In L. Magnani & N. Nersessian (Eds.), Model-based reasoning. Springer.
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This work was funded by the National Agency for Research and Development (ANID) through FONDECYT Programs 1180619, 1190843, and 1211092.
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Marzabal, A., Merino, C., Soto, M., Cortés, A. (2024). Modeling-Based Science Education. In: Marzabal, A., Merino, C. (eds) Rethinking Science Education in Latin-America. Contemporary Trends and Issues in Science Education, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-031-52830-9_13
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