SJME (Supremum Journal of Mathematics Education)
Vol 4 No 1 (2020): January 2020

A Case Study of Promoting Informal Inferential Reasoning in Learning Sampling Distribution for High School Students

Geovani Debby Setyani (Universitas Sanata Dharma)
Yosep Dwi Kristanto (Universitas Sanata Dharma)



Article Info

Publish Date
24 Jan 2020

Abstract

Drawing inference from data is an important skill for students to understand their everyday life, so that the sampling distribution as a central topic in statistical inference is necessary to be learned by the students. However, little is known about how to teach the topic for high school students, especially in Indonesian context. Therefore, the present study provides a teaching experiment to support the students’ informal inferential reasoning in understanding the sampling distribution, as well as the students’ perceptions toward the teaching experiment. The subjects in the present study were three 11th-grader of one private school in Yogyakarta majoring in mathematics and natural science. The method of data collection was direct observation of sampling distribution learning process, interviews, and documentation. The present study found that that informal inferential reasoning with problem-based learning using contextual problems and real data could support the students to understand the sampling distribution, and they also gave positive responses about their learning experience.

Copyrights © 2020






Journal Info

Abbrev

supremum

Publisher

Subject

Education Mathematics Social Sciences

Description

SJME (Supremum Journal of Mathematics Education) is a journal of mathematics education that publishes research papers and studies in the field of mathematics education. SJME is a biannual (January and July), peer-reviewed, open access journal, edited by the Mathematics Education, Faculty of Teacher ...