scholarly journals The Influence of Realistic Mathemathic Education Model on Mathematical Reasoning Ability Viewed from Student Learning Styles

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dini Apriani ◽  
Mujib Mujib ◽  
Dona Dinda Pratiwi
Keyword(s):  
Learning Styles ◽  
Student Learning ◽  
Mathematical Reasoning ◽  
Reasoning Ability ◽  
Balance Test ◽  
Anova Test ◽  
Reasoning Abilities ◽  
Analysis Technique ◽  
Essay Tests ◽  
Student Learning Styles

This study aims to see the effect of realistic mathemathic education models on students' mathematical reasoning abilities in terms of learning styles. This type of research is quantitative. Data collection techniques used are essay tests and interviews. The data analysis technique used is hypothesis testing using anava 2 roads. However, before the anova test is carried out, the normality, homogeneity and balance test are carried out first. Based on the data that has been known that normal data, based on the same and balanced variance, the 2-way ANOVA test results show that there is an influence of the RTE model on students' mathematical reasoning ability, namely the reasoning ability of students with the RME model treatment is better than mathematical reasoning ability with conventional treatment methods. In addition, there is the influence of student learning styles on students' reasoning abilities.

THE EFFECT OF REALISTIC MATHEMATHIC EDUCATION MODELS ON MATHEMATICAL REASONING ABILITY REVIEWED FROM STUDENT’S LEARNING STYLES

2019 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Dini Apriani ◽  
Mujib Mujib ◽  
Dona Dinda Pratiwi
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Mathematical Reasoning ◽  
Mathematical Education ◽  
Reasoning Ability ◽  
Reasoning Abilities ◽  
Kinesthetic Learning ◽  
Education Model ◽  
Essay Tests ◽  
Better Than

<span class="fontstyle0">Abstract </span><span class="fontstyle2">This study aims to see the effect of realistic mathemathic education models<br />on students' mathematical reasoning abilities in terms of learning styles. This type of<br />research is quantitative. Data collection techniques used were essay tests and<br />interviews. The data analysis technique used is hypothesis testing using 2-way anava.<br />But before the anava test is carried out, the normality, homogeneity and balance tests<br />are performed. Based on the data that is known that normal data, based on the same<br />and balanced variance obtained by the 2-way Anova test results indicate that there<br />is an influence of the RTE model on students' mathematical reasoning ability, namely<br />the reasoning ability of students with RME model treatment is better than the<br />mathematical reasoning ability with conventional treatment methods. In addition<br />there is the influence of student learning styles on students' reasoning abilities.<br />Furthermore, mathematical reasoning ability of students who have who have a visual<br />learning style is better than students who have an auditory and kinesthetic learning<br />style. While students who have kinesthetic learning styles are better than students<br />who have auditory learning styles. There is no interaction between the treatment of<br />learning with the learning styles category of students. Means, there is no difference<br />in the effect between the learning treatment and learning styles of students on the<br />ability of mathematical reasoning on students with the treatment of learning using<br />the Realistic Mathematics Education model or using conventional learning models.<br /></span><span class="fontstyle0">Key Word</span><span class="fontstyle2">: Realistic Mathematical Education Model, Mathematical<br />Reasoning Ability, Learning Styles</span> <br /><br />

scholarly journals Description of Mathematical Reasoning Ability for Students of SMA Negeri 1 Tawangsari Class XI-MIPA 3 on Matrix Material

Khazanah ◽  
2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Nikodemus Cahyo Saputro ◽  
◽  
Krisdianto Hadi Prasetyo ◽  
Andhika Ayu Wulandari ◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Mathematical Reasoning ◽  
Matrix Material ◽  
Reasoning Ability ◽  
Student Responses ◽  
Data Presentation ◽  
Average Percentage ◽  
Reasoning Abilities ◽  
Analysis Technique ◽  
The Matrix

The purpose of this study was to determine how the students' mathematical reasoning abilities towards the matrix material. The data in this study were obtained from the results of filling out questionnaires and also interviews. Sources of data in this study were the subjects from which the data were obtained, namely students of class XI-MIPA 3 SMA N 1 Tawangsari. The data analysis technique used was data reduction, data presentation and conclusion drawing. The results of the data analysis from the questionnaire showed that the average percentage of student responses to mathematical reasoning abilities on the matrix material was 60.75% and was in the medium category. With the percentage on each indicator, namely on indicator 1 (students do calculations with the applicable mathematical formula / rules) of 55.63% so that it is included in the moderate category, students with the moderate category have aspects of the ability to understand question commands and are only weak at calculation operations. In indicator 2 (students draw general conclusions based on mathematical processes / concepts) the percentage is 61.25% so it is included in the medium category. In indicator 3 (students make estimates) the percentage is 81.25% so that it is included in the high category, students with high categories have aspects of the ability to understand question commands, question logic and can complete counting operations. While the percentage on indicator 4 (students draw conclusions based on the similarity of mathematical processes / concepts that are seen) is 54.5% so it is included in the low category, students with low categories have aspects of the question's melogical ability and are only weak in counting operations. The average percentage of the four indicators is 63.16% so that student responses can be said to be in the medium category. In this study, checking the validity of the data used triangulation techniques, namely by comparing the results of the study with the results of interviews. From the comparison of data analysis with questionnaires and interviews, it can be concluded that students with mathematical reasoning on the matrix material are in the medium category.

scholarly journals Pengaruh Penerapan Teori Van Hiele Berbantuan Software Wingeom Terhadap Kemampuan Penalaran Matematika Siswa pada Materi Geometri

2016 ◽  
Vol 2 (1) ◽  
pp. 19-25
Author(s):  
Fitri Amalia Izzati ◽  
Hadi Kusmanto ◽  
Toheri Toheri
Keyword(s):  
Mathematical Reasoning ◽  
Hypothesis Test ◽  
Coefficient Of Determination ◽  
Reasoning Ability ◽  
Test Analysis ◽  
Average Percentage ◽  
Van Hiele ◽  
Reasoning Abilities ◽  
Van Hiele Theory ◽  
Essay Tests

One of the purpose of mathematics is to develop students’ mathematical reasoning abilities. But in the fact indicate that objective can’t be realized optimally. This research aims to determine the effect of application Van Hiele theory aided software wingeom to mathematical reasoning ability students on geometry. This research is case study with a sample of 40 students and using technique purposive sampling. The technique of collecting data used questionnaire and essay tests. Based on analysis of questionnaire obtained an average percentage of 63,04%, that means the student responded strongly. While mathematical reasoning ability is quite an average of 67,25%. Based on the hypothesis test analysis whit significance 5% show there is the effect of application Van Hiele theory aided software wingeom to mathematical reasoning ability on geometry. From the regression equation obtained  = 8,482 + 0,847 X. The coefficient is positive, that means there is a positive correlation between the application Van Hiele theory aided software Wingeom and mathematical reasoning ability. The coefficient of determination 0,166 meaning that 16% variable mathematical reasoning ability is determined by the Van Hiele theory aided application software wingeom, while the remaining 84% is explained by other variable. The application of Van Hiele theory aided Wingeom software significantly affect students’ mathematical reasoning ability on geometry.

scholarly journals Profil Kemampuan Representasi Siswa Dalam Memecahkan Masalah Matematika Ditinjau Dari Gaya Belajar

2021 ◽  
Vol 11 (1) ◽  
pp. 15-28
Author(s):  
Aula Amalia ◽  
Nurina Happy ◽  
FX Didik Purwosetiyono
Keyword(s):  
Qualitative Research ◽  
Learning Styles ◽  
Student Learning ◽  
Learning Style ◽  
Visual Learning ◽  
School Students ◽  
Verbal Representation ◽  
Kinesthetic Learning ◽  
Analysis Technique ◽  
Student Learning Styles

This study aims to determaine the profile of the representation ability of juniorhigh school students in terms of learning styles. This type of research wasdescriptive qualitative research. The subjects taken were three junior highschool students of eight grade, each of whom had a visual learning style, andauditory learning style, and kinesthetic learning style. The data was collectedusing a learning style scale, written tests, interviews and documentation. Thedata analysis technique was carried out in 3 stages, reduction, datapresentation, and drawing conclucions or verification. The validity of the dataused time triangulation, comparaing the results of the representation abilitytest with the results of interviews in the first and second stages. The analysiswas developed based on indicators of representational ability by taking inroaccount student learning styles. Based on the results of the analysis, it isknown that subjects with visual, auditory and kinesthetic learning styles havelow verbal representation abilities. 

The Influence of Problem-Solving Learning Model and Student Learning Motivation on Mathematical Reasoning Ability

2021 ◽  
Vol 1 (1) ◽  
pp. 36-44
Author(s):  
Ismail Djakaria
Keyword(s):  
Problem Solving ◽  
Student Learning ◽  
Mathematical Reasoning ◽  
Learning Model ◽  
Learning Motivation ◽  
Reasoning Ability ◽  
Reasoning Abilities ◽  
Tukey Test ◽  
Level 2 ◽  
Quasi Experiment

This study aims to determine whether the mathematical reasoning ability of students who are taught by the problem-solving learning model is effective in terms of the learning motivation of class VII students of SMP Negeri 4 Gorontalo. This type of research is Quasi Experiment with Treatment by level 2 x 2 design using two-way analysis test and Tukey test. The results showed that the mathematical reasoning ability of students who had intrinsic learning motivation in problem-solving learning was 84.13 and the mathematical reasoning ability of students who had intrinsic learning motivation in conventional learning was 67.21. This can also be proven through a test with a significant level of 5% and df = 127 indicating t > t(1,127)(0.05). Obtained t = 4.232 for a = 0.05 obtained t(1,127)(0.05) = 2.80 Thus, the reasoning abilities of students who have intrinsic learning motivation are taught by problem-solving learning more effectively than the reasoning abilities of students who have intrinsic learning motivation are taught by conventional learning.

scholarly journals Mathematical Reasoning Ability and Learning Independence of High School Students Through Problem Based Learning Model

2019 ◽  
Vol 1 (3) ◽  
Author(s):  
Purnama Putra ◽  
M. Ikhsan
Keyword(s):  
High School ◽  
High School Students ◽  
Student Learning ◽  
Mathematical Reasoning ◽  
Problem Based Learning ◽  
Learning Model ◽  
Control Group ◽  
Reasoning Ability ◽  
Reasoning Abilities ◽  
Pbl Model

The ability of students to answer mathematical reasoning questions and to learn independence is still low. Mathematical reasoning and learning independence are important possessed by students. Therefore, a learning model of a relevant. One of the learning approaches is the Problem Based Learning (PBL) model. The purpose of the study to find out: Differences in the increase in mathematical reasoning abilities and student learning independence taught by using PBL with students taught with conventional learning in terms of (a) all students, and (b) student level (high, medium, low). This research is an experimental research design with a pretest-posttest control group design. The population of this study was all students of class X of the Delima 1 High School in Pidie. While the sample consisted of two classes, namely the experimental class (X-2) and the control class (X-3) taken by random sampling. The instrument used to obtain research data is a test of mathematical reasoning ability and student learning independence. To see the difference in mathematical reasoning abilities and student learning independence between classes PBL models with conventional classes using the t-test. The results showed that the improvement of students' mathematical reasoning abilities and student learning independence that obtained learning with PBL approach was better than students who obtained learning with conventional approach in terms of overall and initial abilities of students (high, medium, low), in quality there were significant differences between students who studied using PBL model with those using conventional learning.

scholarly journals The Influence of Problem-Solving Learning Model and Student Learning Motivation on Mathematical Reasoning Ability

2021 ◽  
Vol 1 (1) ◽  
pp. 36-44
Author(s):  
Ismail Djakaria ◽  
Febri Harun ◽  
Sarson W. Dj Pomalato
Keyword(s):  
Problem Solving ◽  
Student Learning ◽  
Mathematical Reasoning ◽  
Learning Model ◽  
Learning Motivation ◽  
Reasoning Ability ◽  
Reasoning Abilities ◽  
Tukey Test ◽  
Level 2 ◽  
Quasi Experiment

This study aims to determine whether the mathematical reasoning ability of students who are taught by the problem-solving learning model is effective in terms of the learning motivation of class VII students of SMP Negeri 4 Gorontalo. This type of research is Quasi Experiment with Treatment by level 2 x 2 design using two-way analysis test and Tukey test. The results showed that the mathematical reasoning ability of students who had intrinsic learning motivation in problem-solving learning was 84.13 and the mathematical reasoning ability of students who had intrinsic learning motivation in conventional learning was 67.21. This can also be proven through a test with a significant level of 5% and df = 127 indicating t > t(1,127)(0.05). Obtained t = 4.232 for a = 0.05 obtained t(1,127)(0.05) = 2.80 Thus, the reasoning abilities of students who have intrinsic learning motivation are taught by problem-solving learning more effectively than the reasoning abilities of students who have intrinsic learning motivation are taught by conventional learning.

scholarly journals The Influence of Problem-Solving Learning Model and Student Learning Motivation on Mathematical Reasoning Ability

2021 ◽  
Vol 2 (1) ◽  
pp. 36-44
Author(s):  
Ismail Djakaria ◽  
Febri Harun ◽  
Sarson W. Dj Pomalato
Keyword(s):  
Problem Solving ◽  
Student Learning ◽  
Mathematical Reasoning ◽  
Learning Model ◽  
Learning Motivation ◽  
Reasoning Ability ◽  
Reasoning Abilities ◽  
Tukey Test ◽  
Level 2 ◽  
Quasi Experiment

This study aims to determine whether the mathematical reasoning ability of students who are taught by the problem-solving learning model is effective in terms of the learning motivation of class VII students of SMP Negeri 4 Gorontalo. This type of research is Quasi Experiment with Treatment by level 2 x 2 design using two-way analysis test and Tukey test. The results showed that the mathematical reasoning ability of students who had intrinsic learning motivation in problem-solving learning was 84.13 and the mathematical reasoning ability of students who had intrinsic learning motivation in conventional learning was 67.21. This can also be proven through a test with a significant level of 5% and df = 127 indicating t > t(1,127)(0.05). Obtained t = 4.232 for a = 0.05 obtained t(1,127)(0.05) = 2.80 Thus, the reasoning abilities of students who have intrinsic learning motivation are taught by problem-solving learning more effectively than the reasoning abilities of students who have intrinsic learning motivation are taught by conventional learning.

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