scholarly journals Statistical reasoning ability analysis observed from 4MAT learning style system

2021 ◽  
Author(s):  
Aning Wida Yanti ◽  
I. Ketut Budayasa ◽  
Raden Sulaiman ◽  
Sutini Sutini ◽  
Atiyatun Hasanah
2002 ◽  
Author(s):  
Timothy J. Lawson ◽  
Michael Schwiers ◽  
Maureen Doellman ◽  
Greg Grady ◽  
Robert Kelnhofer

2003 ◽  
Vol 30 (2) ◽  
pp. 107-110 ◽  
Author(s):  
Timothy J. Lawson ◽  
Michael Schwiers ◽  
Maureen Doellman ◽  
Greg Grady ◽  
Robert Kelnhofer

We discuss a technique for teaching students everyday applications of statistical concepts. We used this technique with students (n = 50) enrolled in several sections of an introductory statistics course; students (n = 45) in other sections served as a comparison group. A class of introductory psychology students (n = 24) served as a second comparison group. We assessed students' statistical reasoning ability at the beginning of the semester as well as later in the semester. All 3 groups showed improvements in statistical reasoning, but the greatest improvement occurred in the group that read the everyday application material.


2019 ◽  
Vol 27 (3) ◽  
pp. 171-187 ◽  
Author(s):  
Basil Conway ◽  
W. Gary Martin ◽  
Marilyn Strutchens ◽  
Marie Kraska ◽  
Huajun Huang

Author(s):  
A. Olani ◽  
R. Hoekstra ◽  
E. Harskamp ◽  
G. Van der Werf

Introducción. El trabajo investiga la mejora de la capacidad de razonamiento estadístico, la auto-eficacia estadística y la percepción del valor de la estadística de los alumnos durante un curso introductorio de estadística. También se estudia si estos cambios en los resultados de aprendizaje difieren según el trasfondo matemático del alumno o la percepción de apoyo del profesor.Método. Se evaluaron 96 estudiantes universitarios del primer curso, al principio y al final de una asignatura introductoria de estadística.Resultados. Los resultados demuestran que la capacidad de razonamiento estadístico y la auto-eficacia estadística de los alumnos mejoró de forma significativa durante el curso. Sin embargo, no se observaron cambios significativos en su percepción del valor de la estadística.Las mejoras en la capacidad de razonamiento estadístico de los alumnos son independientes de su trasfondo matemático o su percepción de apoyo del profesor. Se observaron cambios positivos más grandes en la auto-eficacia estadística de aquellos alumnos que tenían percepción favorable del apoyo del profesor.Conclusiones. Se concluye que los alumnos pueden lograr metas relacionadas con el contenido de la asignatura de estadística independientemente de su trasfondo matemático. El logro de otras metas de aprendizaje, concretamente las de creencias sobre uno mismo y sobre el valor de la estadística, son susceptibles al apoyo y aliento del profesor


2019 ◽  
Vol 10 (1) ◽  
pp. 87-99 ◽  
Author(s):  
Nila Kesumawati ◽  
Dina Octaria

This development research aims to produce valid, practical, and effectivelearning equipment. The developed learning equipmentincludesemester learning plans (RPS), student worksheets (LKM), and test questions in basic statistics courses using the PMRI approach oriented to statistical reasoning ability. This study employs the ADDIE development model. The quality of the product was assessed based on the validity, practicality, and effectiveness aspects. The result shows that the validity quality of the learning equipment has fulfilledthe valid criteria indicated by the average score of semester learning plans of 3.75 and the average score of the student worksheet of 3.70. The practicality of learning equipmenthas met the practical criteria indicated by the students’ questionnaire responsesscore of 3.125 and the results of learning implementation observation of 90.17. The effectiveness shows a score of 15% with low effective criteria, although based on the results of students’ answers as a whole,the students' statistical reasoning is at level 3 (Procedural Reasoning). 


Author(s):  
Fina Putri Damayanti ◽  
Widahyanti Widahyanti ◽  
Surya Sari Faradiba

This study aims to explore the ability to reason students in statistical material. This is motivated by the ability to reason statistics class IX students have not yet reached the highest level at the level of reasoning ability. This research is a qualitative research. The instrument used consisted of statistical question sheets and interview guidelines compiled based on indicators of statistical reasoning ability. The results of the study indicate that students are still unsure of the answers to the problems because basically students still have a level of informal quantitative reasoning ability.


2019 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Dini Apriani ◽  
Mujib Mujib ◽  
Dona Dinda Pratiwi

<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 />


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