Investigating the performance of students in solving proportional problems
This study is investigating the performance of junior high school students in solving proportional problems .gender, and school type on their performance in solving proportional problems. This study is applied and descriptive (survey type) in nature by considering purpose and implementation consecutively. The sample of this study was 442 of Qazvin city’s junior high school students who were chosen based on Randomized cluster sampling. The measurement tool was a questionnaire with five tasks related to proportional reasoning witch its content and face validity were examined by some of the mathematics professors and mathematics education professors. The Cronbach's alpha coefficient for the questionnaire proved to be 0.865 which shows an acceptable level of reliability. Data analysis was done using Spss 26 software and descriptive and inferential statistics methods. The analysis of the results showed that the students had a fairly good performance in solving proportional problems and their performance was evaluated in general at the level of proportional reasoning. Also, the analysis of data showed that there is a significant difference between the performance of students in 7th, 8th, and 9th grades in solving proportional problems, and with the increasing educational grade, their problem-solving performance will be increased.
-
The Content Knowledge of Preservice Elementary Teachers about the Possibility: An Essential Factor in the Effective Teaching of Probability Concepts
Mojtaba Eskandari, , Zahra Rahimi, Ehsanbahrami-Samani
Journal of Curriculum Research, Winter and Spring 2025 -
Investigating the skills of junior high school students in posing problems in field of proportional reasoning
Hamidreza Barkhordari, *,
Journal of Mathematics and Society, -
Analysis of the dimensions of educational pragmatism in compiling the subject of math textbooks
Reyhaneh Sadat Mehdizadeh, *, Saeed Haghjoo
Curriculum Planning, -
Metasynthesis in definitions and components of statistical thinking
Anahita Komeijani, *, Zahra Rahimi, Ehsan Bahrami Samani
Andishe-ye Amari,