New Perspectives in Science Education

Edition 13

Accepted Abstracts

Problem Solving Processes in Science Education: Integrating the Representational Pluralism Perspective

Alexandre Hagan, Université du Québec à Montréal (Canada)

Patrice Potvin, Université du Québec à Montréal (Canada)

Michel Bélanger, Université du Québec à Rimouski (Canada)

Abstract

Applied theoretical problem solving (PS) in science education is considered as a source of difficulties for many students and a consequently an important challenge for teachers. We argue the activity of PS in science can be considered as a modeling process in its essence. Recent studies highlighted a link between inhibitory control processes and students’ difficulties during the PS. However, we don’t know a lot about the epistemology of this link and how inhibitory control influences the modelling process of PS. Moreover, in science education, several models of PS have been proposed by researchers in science education and mathematics education. These models identify a number of difficulties encountered by students in PS. However, to our knowledge, these models do not integrate neither students’ plurality of representations nor a dual process approach to reasoning.” We believe that the perspective of representational pluralism can offer new opportunities to a better understanding of the PS in science education.

Keywords: Problem solving, Modeling process, Science education, Inhibitory control, Representational pluralism, Dual process of reasoning

References

[1] Cheng, S. C., She, H. C., & Huang, L. Y. (2017). The impact of problem-solving instruction on middle school students’ physical science learning: Interplays of knowledge, reasoning, and problem solving. Eurasia Journal of Mathematics, Science and Technology Education14(3), 731-743.

[2] Walsh, L. N., Howard, R. G., & Bowe, B. (2007). Phenomenographic study of students’ problem-solving approaches in physics. Physical Review Special Topics-Physics Education Research3(2).

[3] Sidenvall, J.,Granberg, C., Lithner, J. & Palmbeerg, B. (2022). Supporting teachers in supporting students’ mathematical problem solving, International Journal of Mathematical Education in Science and Technology, 1-23.

[4] Loretan, C., Müller, A., & Weiss, L. (2018). Fostering semi-quantitative reasoning in the classroom with worked examples as educational scaffold, Developpement du raisonnement semi-quantitatif (RSQ) en classe avec comme outil pédagogique le «Worked Example»(WE). Progress in Science Education (PriSE)1(1).

[5] Stanovich, K. E. (2018). Miserliness in human cognition: the interaction of detection, override and mindware. Thinking & Reasoning, 24(4).

[6] Babai, R. (2010). Piagetian cognitive level and the tendency to use intuitive rules when solving comparison tasks. International Journal of Science and Mathematics Education. 8(2), 203-221.

[7] Horst, S. (2023). Why pluralism? In M. Bélanger, P. Potvin, S. Horst, A. Shtulman, & E. F. Mortimer (Eds.), Multidisciplinary perspectives on representational pluralism in human cognition: Tracing points of convergence in psychology, philosophy of science, and science education (pp. 285-301). Routledge. 

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