Abstract
The purpose of this study is to describe the characteristics of predictive reasoning made by students in solving graph-related problems, particularly related to COVID-19. This is a descriptive qualitative study with data collected from a sample size of 25 senior high school students and analyzed using the generalization-prediction task. The result revealed that there are three types of students’ predictive reasoning made based on (1) data observation, (2) data observation coupled with prior experience, and (3) data observation coupled with prior experience or knowledge. The experience used to make a prediction is obtained from personal life, classroom, and general knowledge about COVID-19. In conclusion, this study improves students’ understanding and ability to reason with graphs and future studies can be conducted with different prediction tasks.
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
EURASIA J Math Sci Tech Ed, Volume 19, Issue 4, April 2023, Article No: em2253
https://doi.org/10.29333/ejmste/13110
Publication date: 01 Apr 2023
Online publication date: 25 Mar 2023
Article Views: 1328
Article Downloads: 743
Open Access References How to cite this article