Mathematical Representation of Grade 7 Students in Set Theory Topics Through Problem-Based Learning

Lestari, Ida; Kesumawati, Nila; Ningsih, Yunika Lestaria

doi:10.22460/infinity.v9i1.p103-110

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…Finally, students provide arguments regarding their solutions, showing their efforts to validate and explain the procedures applied in solving the mathematical problem. This is in line with research from Lestari et al (2020), which revealed that mathematical representation is a capability that has to be mastered by students in the learning of mathematics. Overall, students' analyses reflect their efforts to use mathematical symbols, understand pattern relationships, and provide arguments to support their solutions.…”

Section: Discussionsupporting

confidence: 90%

Computational thinking on concept pattern number: A study learning style Kolb

Purwasih,

Turmudi,

Dahlan

et al. 2024

jel

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This research aimed to determine how the number pattern concept's computational thinking characteristic picture was reviewed from the Kolb model's learning style. The research method used in this study is qualitative descriptive. The research was conducted at one of the state's small schools in Bandung. The research subjects consisted of 29 students in the ninth grade. One of the 29 study issues is selected with assimilator learning styles. The data-gathering techniques used are questionnaire tests, test instruments, and interviews. Angket is used to group subjects into four groups of learning style types. The test instrument was used to describe the computational thinking characteristics of high school students on the concept of number patterns, and the interview was used to strengthen the test summary results of the subject. The results of this study show that the characteristics of computational thinking that each type of learning style dominates are different. Computational thinking students with an assimilator learning style in solving mathematical problems of number patterns can solve issues by involving decomposition, pattern identification, abstraction and generalization, and algorithms. They can generalize patterns using accurate, thorough, complete, and systematic problem-solving strategies.

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Section: Discussionsupporting

confidence: 90%

Computational thinking on concept pattern number: A study learning style Kolb

Purwasih,

Turmudi,

Dahlan

et al. 2024

jel

View full text Add to dashboard Cite

show abstract

“…Mathematical representation ability is the ability to restate notations, symbols, tables, pictures, graphs, diagrams, equations, or other mathematical expressions into other forms. Mathematical representations consist of visual representations, verbal (written text), mathematical equations, or expressions (Lestari et al, 2020). Representation ability is very important for students to have, with representation ability, can make it easier for students to solve mathematical problems (Sari et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Systematic literature review on the recent three-year trend mathematical representation ability in scopus database

Putra

Sunyono

Haenilah

et al. 2023

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Mathematical representation is essential as the gateway to mastering mathematical literacy. This literature study aims to determine the growth of students' mathematical representation abilities in the last three years. This literature study presents a literature review on the development of mathematical representations, including media, strategies, and measurement instruments to serve as the basis for future mathematical representations. The literature study method used is the SLR (Systematic Literature Review), utilizing a review procedure that refers to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework in the period 2020 to 2022 because the growth in literature studies on mathematical representations is very significant and latest. Data were collected by reviewing 24 Scopus-indexed articles and proceedings from the Scopus database. The study's results reveal that from the 24 selected literature, it can be interpreted if the mathematical representation ability can be improved and fulfills the indicators of mathematical representation itself by providing innovation in media, strategies, and instruments in learning mathematics. The innovations provided can be in the form of technology integration (Geogebra), no longer conventional strategies (RME strategy), and instrument indicators of the representation itself. Thus the ability of students' mathematical representations is no longer included in the low category in solving mathematical problems.

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“…Mathematical representation is one of the important competencies in learning mathematics. Good representation competency can help students to represent notations, symbols, graphs and other representations in mathematics (Lestari et al, 2020;Muhtarom et al, 2019). All of this will clearly help students when they solve problems.…”

Section: Introductionmentioning

confidence: 99%

The profile of students' mathematical representation competence, self-confidence, and habits of mind through problem-based learning models

Ahmad,

Akhsani,

Mohamed

2023

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Mathematics is an essential subject for students. Teachers, therefore, need to provide innovative learning that develops students' mathematical skills. This study was conducted to determine the effect of a problem-based learning (PBL) model on students' mathematical representation competencies, self-confidence, and habits of mind. It used a quantitative methodology and was conducted on eighth-grade students divided into an experimental class with a PBL model and a control class with a direct learning model. The results showed that the mathematical representation competencies of the students in the experimental class were better than those in the control class. Students' self-confidence and habits of mind also influenced their mathematical representation competencies. It shows that the PBL model positively affects students' mathematical representation competency, self-confidence, and habits of mind. Teachers can use the PBL model to develop their students' mathematical representation competencies by paying attention to students' self-confidence and habits of mind.

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Mathematical Representation of Grade 7 Students in Set Theory Topics Through Problem-Based Learning

Cited by 4 publications

References 11 publications

Computational thinking on concept pattern number: A study learning style Kolb

Computational thinking on concept pattern number: A study learning style Kolb

Systematic literature review on the recent three-year trend mathematical representation ability in scopus database

The profile of students' mathematical representation competence, self-confidence, and habits of mind through problem-based learning models

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