Building bridges towards scientific thinking: potential dimensions to enrich research on precursor models

FANY GISELA ARRESE

Abstract

Science education faces the persistent challenge of inert knowledge, where students fail to mobilize what they have learned to interpret phenomena. Within this framework, the notion of the precursor model emerges as a didactic tool to manage the “unassimilability gap” between students' initial representations and school science models. This theoretical reflection article examines the productive tension between the psychodidactic and epistemodidactic perspectives, proposing an articulation that incorporates the social dimension of learning from the perspective of distributed cognition. It also suggests that teachers' management of these models can function as an analytical lens to make visible the configurations of teacher professional knowledge. Drawing on a case study with primary school teachers, it shows how these configurations enable different approaches to the model, shifting the unit of analysis towards the socio-cognitive dynamic and linking the precursor model with scientific literacy as a social practice. Finally, it outlines challenges for a research agenda that positions precursor models as a cross-cutting axis for teacher professional development and a transformative science education.

Keywords

Precursor models, physical sciences, scientific thinking, psychodidactic and epistemodidactic perspectives

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References

Adúriz-Bravo, A. (2022). Precursor models seen through the lens of the idea of “theoretical model”. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds.), Precursor models for teaching and learning science during early childhood (pp. 221-239). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_12.

Arrese, F. G. (2024). El conocimiento profesional del profesor de ciencias naturales de primaria sobre el conocimiento escolar del mundo físico. Dos casos de estudio. Tesis de maestría. Universidad Nacional de Córdoba, Argentina.

Arrese, F. G., Olivares, J. L., Villarreal, M., Vincet, N. G., & Alfageme, V. (2020). Modelo didáctico analógico como mediador de enseñanza y aprendizaje universitario del sistema cardiovascular. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias, 17(3), 3601. https://doi.org/10.25267/rev_eureka_ensen_divulg_cienc.2020.v17.i3.3601.

Bermudez, G. M. A., & Krell, M. (2025). Students increased their conceptual understanding of biodiversity after a modeling-based teaching and learning sequence. Science & Education. https://doi.org/10.1007/s11191-025-00707-3.

Boilevin, J.-M., Delserieys, A., & Ravanis, K. (Eds). (2022). Precursor models for teaching and learning science during early childhood. Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3.

Camilloni, A. R. W. (2015). La evaluación de los aprendizajes en el debate didáctico contemporáneo. In A. R. W. Camilloni, E. Cols, L. Basabe & S. Feeney (Eds), El saber didáctico (pp. 125-178). Paidós.

Canedo Ibarra, S. P., & Gómez Galindo, A. A. (2022). Social interaction in the construction of a floating and sinking precursor model during preschool education. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds.), Precursor models for teaching and learning science during early childhood (pp. 53-78). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_4.

Chamizo, J. A. (2010). Una tipología de los modelos para la enseñanza de las ciencias. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias, 7(1), 26-41. https://revistas.uca.es/index.php/eureka/article/view/2626.

Delserieys, A., Jégou, C., Boilevin, J.-M., & Ravanis, K. (2022). Precursor model and preschool science learning about shadows formation. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds), Precursor models for teaching and learning science during early childhood (pp. 79-102). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_5.

Ergazaki, M. (2022). The idea of ‘precursor models’ in biology learning environments for young children: The cases of genetic inheritance and natural selection. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds), Precursor models for teaching and learning science during early childhood (pp. 169-191). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_10.

Furman, M. (2021). Enseñar distinto: Guía para innovar sin perderse en el camino. Siglo Veintiuno Editores.

Georgantopoulou, A., Fragkiadaki, G., Kaliampos, G., & Ravanis, K. (2022). Constructing a precursor model for clouds and rain in the thinking of 4-6-year-old children. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds.), Precursor models for teaching and learning science during early childhood (pp. 131-154). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_8.

Gilbert, J. K. (2004). Models and modelling: Routes to more authentic science education. International Journal of Science and Mathematics Education, 2(2), 115-130. https://doi.org/10.1007/s10763-004-3186-4.

Justi, R. (2009). Learning how to model in science classroom: Key teacher's role in supporting the development of students' modelling skills. Educación Química, 20(1), 32-40. https://doi.org/10.1016/s0187-893x(18)30005-3/.

Justi, R., & Gilbert, J. K. (2003). Teachers' views on the nature of models. International Journal of Science Education, 25(11), 1369-1386. https://doi.org/10.1080/0950069032000070324.

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.

Krell, M., Walzer, C., Hergert, S., & Krüger, D. (2019). Development and application of a category system to describe pre-service science teachers' activities in the process of scientific modelling. Research in Science Education, 49(5), 1319-1345. https://doi.org/10.1007/s11165-017-9657-8.

Lemeignan, G., & Weil-Barais, A. (1993). Construire des concepts en physique: L'enseignement de la mécanique. Hachette.

Oliva, J. M. (2019). Distintas acepciones para la idea de modelización en la enseñanza de las ciencias. Revista Eureka sobre Enseñanza y Divulgación de las Ciencias, 16(1), 1102. https://doi.org/10.5565/rev/ensciencias.2648.

Oliva, J. M. (2024). La modelización en la enseñanza de las ciencias: Mucho más que una moda. Paper presented at Seminario Internacional de Enseñanza y Aprendizaje de las Ciencias orientado a la Modelización, Universidad de Santiago de Chile, Santiago, Chile.

Olivares, J. L., & Olivares, M. G. (2023). Promover la enseñanza y aprendizaje de conocimientos cognitivos, metacognitivos e interdisciplinarios. In Repensar la enseñanza y el aprendizaje en contextos comunitarios (1.ª ed., pp. 21-34). Editorial Cooperativa 7 sellos.

Olivares, J. L., Arrese, F. G., & Olivares, M. G. (2023). Formación de profesores en ciencia con participación activa y dialógica entre disciplinas aplicadas a la salud humana. Boletín de la AIA-CTS, 18, 63-69.

Olivares, J. L., Arrese, F. G., Villarreal, M., & Álvarez, I. (2021). Aprendizaje autorregulado y colaborativo empleando modelos analógicos en sistema digestivo. Praxis Educativa, 25(2), 1-19. https://dx.doi.org/10.19137/praxiseducativa-2021-250211.

Olivares, J. L., Villarreal, M., Arrese, F. G., & Damm, N. (2023). Evaluación formativa y compartida de estudiantes de Ciencias Biológicas mediante mapas conceptuales y rúbrica. Praxis, 18(1), 126-139. http://dx.doi.org/10.21676/23897856.3891.

Pantidos, P., Fragkiadaki, G., Kaliampos, G., & Ravanis, K. (2022). Inscriptions in science teaching: From realism to abstraction. Frontiers in Education, 7, 905272. https://doi.org/10.3389/feduc.2022.905272.

Perkins, D. N. (1992). Smart schools: Better thinking and learning for every child. Free Press.

Perkins, D. N. (2018). Making learning whole: How seven principles of teaching can transform education. Jossey-Bass.

Ravanis, K. (2020). Precursor models of the physical sciences in early childhood education students' thinking. Science Education Research and Praxis, 76, 24-31. https://serp.ecedu.uoi.gr/wp-content/uploads/2022/07/SERP_76_2020_AFIEROMA-11oSECE_f.pdf.

Ravanis, K. (2024). The Precursor Models in Natural Sciences learning and teaching. Paper presented at In Third Young Scholar Symposium on Science and Mathematics Education 2024 (YSSSEE 2024). Universitas Islam Negeri Raden Intan Lampung, Indonesia. https://doi.org/10.5281/zenodo.18742360.

Ravanis, K., & Boilevin, J.-M. (2022). What use is a precursor model in early science teaching and learning? Didactic perspectives. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds), Precursor models for teaching and learning science during early childhood (pp. 33-49). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_3.

Sesto Varela, V., Lorenzo Flores, M., & García-Rodeja Gayoso, I. (2022). Encouraging the construction of a precursor model about air through experimental activities in preschool. In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds), Precursor models for teaching and learning science during early childhood (pp. 111-129). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_7.

Weil-Barais, A. (2022). What is a precursor model? In J.-M. Boilevin, A. Delserieys & K. Ravanis (Eds), Precursor models for teaching and learning science during early childhood (pp. 11-32). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-08158-3_2.


DOI: https://doi.org/10.26220/mje.5619

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