Ghassaniy, Nayla Nafisa
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Student-Teacher Level of Statistical Reasoning Ability Reviewed by Apos Theory (Action, Process, Object, Schema) Ghassaniy, Nayla Nafisa; Hasanah, Aan; Wahyudin, Wahyudin
PRISMA Vol 12, No 2 (2023): PRISMA
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jp.v12i2.3139

Abstract

In learning statistics, there is the term statistical reasoning. Statistical reasoning arises because of the opinion that learning statistics using a traditional approach does not lead students to have statistical reasoning abilities or to think statistically. There are four statistical reasoning levels: idiosyncratic, transitional, quantitative, and analytical. Student-teachers must understand fundamental statistical concepts more deeply to develop statistical reasoning abilities. The mental construction of a statistical concept can be analyzed using APOS (Action, Process, Object, Schema) theory. Through the APOS theory, researchers can determine individual understanding of statistical concepts that cause individuals to reason or draw reasonable conclusions based on the statistical information obtained. This study aims to analyze the interrelationships and make conjectures regarding the level of statistical reasoning ability based on the APOS theory. The research subjects are. 19 informants. The research results obtained four conjectures, namely. Students at the idiosyncratic level are in the action stage; students at the transitional stage are in the action, process, or object stage; students at the quantitative stage are in the process or object stage; lastly, students at the analytical are in the schema stage.
Analysis of student-teacher statistical reasoning ability Ghassaniy, Nayla Nafisa; Hasanah, Aan; Wahyudin
Jurnal Pengembangan Pembelajaran Matematika Vol. 5 No. 1 (2023): Jurnal Pengembangan Pembelajaran Matematika: Volume 5 Nomor 1 February 2022
Publisher : Pusat Studi Pengembangan Pembelajaran Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Researchers and teachers extensively use statistics to deepen academic knowledge or analyze students' enhancement. Therefore, many universities require their students to take a statistics class leastwise as a graduation requirement. One of the objectives of statistics class is to intensify the statistical reasoning ability of students. This study aimed to analyze the statistical reasoning level of the student-teacher. The research was conducted using a qualitative case study divided into three stages to assess students’-teacher statistical reasoning. First, we adopted the statistical reasoning task from prior research. Next, we tested 32 participants from the fourth-semester student-teacher. Finally, the statistical reasoning level was classified based on the participants' answers. The results showed that students' statistical reasoning was at the idiosyncratic, transitional, quantitative, and analytical levels, with the highest percentage at the idiosyncratic level. The conclusion was that there needs to be an effort to improve the statistical reasoning of students-teacher.Â