New Perspectives in Science Education

Edition 14

Accepted Abstracts

Leaves on a Tree: Fostering Self-directed Learning through Mathematical Modelling

Rajendran Govender, University of the Western Cape (South Africa)

Abstract

This qualitative case study explores how a real-world problem—estimating the number of leaves on a tree—can foster self-directed learning through mathematical modelling. The study aims to understand how engaging students with an open-ended, context-rich problem encourages them to develop mathematical modelling competencies, critical thinking, and independent learning strategies. Through sampling, data collection, and analysis, students were guided to formulate their own models, test hypotheses, and refine their estimation techniques. Data was gathered through observations, interviews, and student journals, providing insights into their learning processes, challenges, and strategies for problem-solving. The findings reveal that students who engaged in this activity developed deeper mathematical understanding, improved their ability to make and adjust estimates, and became more confident in taking ownership of their learning. The study concludes that using real-world problems like counting leaves on a tree not only enhances mathematical modelling competencies but also promotes a mindset of self-directed learning, where students actively engage in inquiry, reflection, and iterative thinking. These insights offer valuable implications for integrating experiential learning activities into mathematics education to cultivate both content knowledge and essential learning skills.

 

Keywords

mathematical modelling competencies, self-directed learning, pre-service mathematics teachers

 

 

REFERENCES

[1] Blomhøj, M., & Jensen, T. H. (2003). Developing mathematical modelling

competence: Conceptual clarification and educational planning. Teaching

Mathematics and its Applications, 22(3), 123–139.

[2] Govender, R. (2020). Mathematical Modelling: A ‘Growing Tree’ for Creative and Flexible Thinking      in Pre-service Mathematics Teachers. In G. A. Stillman et al. (eds), Mathematical Modelling      Education and Sense-making, International Perspectives on   the Teaching and Learning of  Mathematical Modelling.           

[3] Jensen, T. H. (2007). Assessing mathematical modelling competency. In C. Haines, P. Galbraith, W. Blum, & S. Khan (Eds.), Mathematical modelling (ICTMA12): Education, engineering and economics (pp. 142–148). Chichester: Horwood.

[4] Julie, C., & Mudaly, V. (2007). Mathematical modelling of social issues in school mathematics in outh Africa. In W. Blum, P.L. Galbraith, H.W. Henn, & M. Niss (Eds.), Modelling and Applications in Mathematics Education. New ICMI Study Series (vol. 10, pp. 503–510). Springer.  https://doi.org/10.1007/978-0-387-29822-1_58

[5] Maaß, K. (2006). What are modelling competencies? ZDM Mathematics Education, 38(2), 113–  142.

 

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