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The Development of RBL-STEM Learning Materials in Improving Students’ Generalization Thinking Skills to Solve Local Vertex Irregular Reflexive Coloring Problem

Author

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  • Adidtiya Dwi Harliyuni

    (Department of Post Graduates of Mathematics Education, PUI-PT Combinatorics and Graph, CGANT, University of Jember, Jember, Indonesia)

  • Dafik

    (Department of Post Graduates of Mathematics Education, PUI-PT Combinatorics and Graph, CGANT, University of Jember, Jember, Indonesia)

  • Slamin

    (Department of Post Graduates of Mathematics Education, PUI-PT Combinatorics and Graph, CGANT, University of Jember, Jember, Indonesia)

Abstract

Generalization is the process of drawing general or simple conclusions about a problem. The stages of mathematical generalization consist of four stages, namely perception of generality, expression of generality, symbolic expression of generality, and manipulation of generality . There needs to be a learning model that can improve students’ generalization thinking skills, one of which is by using the Research Based Learning (RBL) model. The Research Based Learning (RBL) model is also supported by the STEM (Science, Technology, Engineering, and Mathematics) approach to make it easier for students to develop generalization thinking skills. In this study, there searchers developed a material using the Research Based Learning (RBL) model and the STEM (Science, Technology, Engineering, and Mathematics) approach, with the aim of improving students’ generalization skills. The results of developing research-based learning materials in with the STEM approach after testing the materials in and analyzing them, it can be concluded that the materials in meet the valid, practical, and effective criteria.

Suggested Citation

  • Adidtiya Dwi Harliyuni & Dafik & Slamin, 2023. "The Development of RBL-STEM Learning Materials in Improving Students’ Generalization Thinking Skills to Solve Local Vertex Irregular Reflexive Coloring Problem," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(4), pages 791-800, April.
  • Handle: RePEc:bcp:journl:v:7:y:2023:i:4:p:791-800
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