Representation ability of mathematics education students in linear programming lecture.

Autor: Khairunnisa, Darhim, Priatna, Nanang, Juandi, Dadang
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2734 Issue 1, p1-6, 6p
Abstrakt: The study aims to obtain information regarding students' representation ability in linear programming courses in the mathematics education department. The method used is a quantitative description with the instrument in the form of a description test and analyzed using the logit size on the Winsteps software. The participants were second-year students who took linear programming courses and had already completed integral calculus subjects. Mathematical representation ability test as an instrument to collect data, then analyzed using Rasch Model. The results showed that students were divided into three levels of representational ability, namely high, medium, and low. Fifty-two students were at the intermediate level, and their verbal representation skills contributed to low scores. Many indicators with a high level of difficulty for students cause the low representation ability. Some answers are related to each other so that there are answers that are affected. This research impacts the need to improve the ability of students, one of which can be through changes in learning methods because the chosen representations-oriented teaching may influence students' representations. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index