scholarly journals Development of Mathematics Learning Device Based on Cooperative Model Type of Think Talk Write that Supported by Edmodo for Developing the Mathematics Problem Solving Skills

2020 ◽  
Vol 1503 ◽  
pp. 012012
Author(s):  
Ni Wayan Adikana Wiandari Yadnya ◽  
I Made Ardana ◽  
I Gusti Putu Suharta
Author(s):  
Ifada Novikasari ◽  
Slamet Pamuji ◽  
Muhammad Arsy Maulana

The ability to solve mathematics problems is an ability needed in the learning process. Mathematic anxiety and student learning styles are among the factors that influence the success of mathematics problem-solving ability. By paying attention to mathematics anxiety and learning styles possessed by students, it is expected that the ability to solve mathematics problems will increase. This research is a field research type with an Ex Post Facto method and multiple linear regression statistical data analysis techniques. Data was collected through mathematics anxiety questionnaires, student learning style questionnaires, and mathematics problem-solving skills of students at Madrasah Aliyah level. The results show that (1) there is no significant effect of mathematics anxiety on the ability to solve mathematics problems with the tcount is 1.537 and the significance level is 0.126 ≥ 0.05. (2) there is a positive and significant effect of learning styles on the ability to solve mathematics problems with the value of tcount is 2.457 and a significance level of 0.015 <0.05.


2020 ◽  
Vol 7 (1) ◽  
pp. 32-44
Author(s):  
Abdul Ma'arif ◽  
Syaiful Syaiful ◽  
Muhammad Haris Effendi Hasibuan

Problem-solving skill is required by students and a target in studying mathematics. However, the problem-solving skill of Indonesian students are lacking. One effort that can be done is applying the Model of Learning Cycle 5E.  This research discussed the influence of the implementation of the learning cycle model on mathematics problem-solving skill viewed from students’ adversity quotient. This research used a quantitive approach, quasi-experimental study. The subjects were the 8th Grade students of SMP IT Ash-Shiddiiqi Jambi, consisting of two experiment classes and one control class. The instruments were post-test and adversity quotient questionnaire modified by Stoltz and had been validated by experts. Data analysis was conducted by Two-Way ANOVA. The results showed that there was no interaction between the learning cycle 5E model and mathematics problem-solving skill. This finding indicates that the model of learning cycle 5E affects problem-solving skills and can be applied to students with all types of adversity quotient.


2017 ◽  
Vol 2 (2) ◽  
pp. 159
Author(s):  
Ali Sadikin Wear ◽  
Renny Indrawati

<pre><em><span lang="EN-US">The research is aimed to know; 1) interaction of inquiry learning  method application and discussion on communication ability and student’s mathematics  problem solving skills on multivariate. 2) the impacts of learning method on mathematics communication ability on univariat.3) the impacts of learning method on mathematics problem solving skills on univariat. This research is false experiment used non equivalent control group design with 2 factors  measurement technique. The instrument is essay test (problem solving and communication question). This research was conducted at public SMP in Palmerah distric, west Jakarta. The sample is the students of class VIII about 140 students. Data analyze used MANOVA analysis. The result of this research is: 1) there are significant impacts of learning method on communication ability and mathematics problem solving skills on multivariate. 2) there are significant impacts of learning method on mathematics communication ability on univariat 3) there isn’t significant impact of learning method on mathematics problem solving skill.</span></em></pre>


2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Arlene Demaisip Hortillosa

This context based Mathematics problem solving has been shown to have direct efforts on students’ bearing. This study compares the cognitive and affective effects of the Context-Based and Traditional approach on voc-tech students from the two programs. Quantitative data were collected using a Pretest and Posttest examination in mathematics problem solving to assess the levels of students’ problem solving performance and an attitude, beliefs and confidence (A-B-C) questionnaire to assess the voc-tech students’ attitude, belief and confidence. For qualitative analysis, the students’ journals, interview responses, and the teacher−observers’ and raters’ notes and comments were analyzed. The results showed that the students have a very low analytic level and limited content knowledge in mathematics prior the intervention. However, the context-based approach enhanced the students’ problem solving skills as exhibited by the numerically higher scores and improvement in the quality of the experimental class’ solutions and responses to the problem solving posttest. After the treatment, statistical tests revealed that the contextbased approach had a significant effect on the voc-tech students on certain topics of mathematics in terms of approach, program and ability level. Results also revealed that the experimental group showed a significant improvement in their attitude and beliefs in mathematics problem solving compared to their counterparts in the control group. Comparing the posttest results by program, the BS students are significantly higher than the BIT students in their overall problem solving scores as well as the BIT and BS students in the experimental class.   Keywords - Mathematics, context based, Mathematics problem solving, attitude, belief, confidence, Voc-tech students, Iloilo, Philippines


2020 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Fevi Rahmadeni

Like the human body, problem solving is the heart of mathematics. Problem solving ability is a capital for students to develop and explore themselves further in mathematics learning. This article aim to explain the development of students' mathematical problem solving abilities through Habit of Thinking Interdependently (HTI). This type of research is literature review where the authors analyze and draw conclusions from several relevant references related to HTI. HTI the attitude of students towards learning mathematics in the form of the habit of thinking together in groups. The conclusions obtained indicate that students' mathematical problem solving abilities can be developed through HTI.


2017 ◽  
Vol 2 (2) ◽  
pp. 219
Author(s):  
Dewi Sulistiawati

<p><em>The benefit of this research is to analyze the Impacts of Generative Learning Model on Mathematics problem Solving Skills. The method used in this research is experiment through t test. To collect the data about generative learning model, the writer used her idea, scientific books, scientific journals, internet and others documents. The research was conducted on the students of class VII H and VII G at Public SMP in  west Cikarang. The sample is about 60 students. Before using generative learning model’s instruments, they was validated and past reability test. After that the writer  done normality test through chi kuadrat test and homogeneity test through fisher test. Based on the research,  t test ? t table (2.21 ? 1.697). it  means there are significant impacts of Generative learning model on Mathematics problem solving. It can be concluded that there are significant impacts of Generative Learning Model on Mathematics problem Solving Skills.</em></p>


2020 ◽  
Vol 2 (1) ◽  
pp. 49-56
Author(s):  
Sudirman .

The study is a classroom action research which aims at describing (1) the improvement of Mathematics learning result through problem solving approach by Polya strategy of class XI IPA students at SMAN 2 Kalukku, (2) the improvement of Mathematics problem solving skill by Polya strategy. The subject is students of class XI IPA of SMAN 2 Kalukku, as many as 31 people consisted of 11 male and 20 female students. The technique used to analyze the data is qualitative and quantitative analyses. The qualitative data is used on students’ activities while the quantitative data is used on students’ learning achievement and students’ response. The results indicate that (1) the application of problem solving approach by Polya strategy can improve students’ learning achievement on Mathematics indicated by the descriptive analysis of the average score of students’ learning achievement 65.42 at cycle I to 75.06 at cycle II; (2) the application of problem solving approach by Polya strategy can improve students’ problem solving skill on Mathematics indicated by percentage descriptive analysis, which is problem comprehension stage 83.87% at cycle I to 90.32% at cycle II, problem solving planning stage 87.10% at cycle I to 96.77% at cycle II,


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Ihwan Zulkarnain

<p>This research is aimed to analyze the influence of cooperative learning model <br />toward the ability of problem solving in Mathematics and students’ ability in <br />Mathematics communication. This research uses experiment method. Data analysis uses MANOVA (Multivariate Analysis of Variants). Result shows that: there is influence of cooperative learning model to the ability of Mathematics problem solving and the ability of Mathematics communication multivariately. This shows that there is difference between matrices of ability of Mathematics problem solving and Mathematics communication to the given cooperative learning model type STAD (Student Team Achievement Division) and type TPS (think, pair, share). (2) by univariate, the result shows: (a) there is no difference in the ability of Mathematics problem solving to those <br />who were given cooperative learning model type STAD and type TPS. This indicates the influence cooperative learning model to the ability of students’ Mathematics problem solving. (b) there is difference in terms of students’ ability of Mathematics communication to who were given cooperative learning model type STAD with type TPS. This shows that there is an influence of cooperative learning model to the ability of Mathematics communication. <br /> <br />Keywords: Problem Solving, Mathematics Communication, Learning Model, STAD, TPS.</p>


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