Marcos Nascimento Magalhães, Guilherme dos Santos Batista, Marco Pereira da Silva
We describe the site AtivEstat- Atividades de Estatística (Statistics activities) that is being developed at University of Sao Paulo, Brazil. The site aims to organize existing or new activities to assist in the teaching of statistics at all levels. The site contains a list of other sites and a set of activities. The main contribution of the site is to offer an organized material in Portuguese language that covers statistics topics for all teaching levels. An important challenge is to enlarge the number of teachers that promote possibilities of active learning in their classes and, consequently, in the teaching-learning of statistics. We think AtivEstat is an important tool, in this challenge.
我们介绍了巴西圣保罗大学正在开发的网站AtivEstat- Atividades de Estatística(统计活动)。该网站旨在组织现有的或新的活动，以协助各级统计教学。该站点包含其他站点的列表和一组活动。该网站的主要贡献是提供有组织的葡萄牙语材料，涵盖所有教学水平的统计主题。一个重要的挑战是增加教师的数量，以促进课堂上主动学习的可能性，从而促进统计学的教与学。我们认为AtivEstat是应对这一挑战的重要工具。
{"title":"A brazilian site with activities for teaching statistics","authors":"Marcos Nascimento Magalhães, Guilherme dos Santos Batista, Marco Pereira da Silva","doi":"10.52041/srap.15118","DOIUrl":"https://doi.org/10.52041/srap.15118","url":null,"abstract":"We describe the site AtivEstat- Atividades de Estatística (Statistics activities) that is being developed at University of Sao Paulo, Brazil. The site aims to organize existing or new activities to assist in the teaching of statistics at all levels. The site contains a list of other sites and a set of activities. The main contribution of the site is to offer an organized material in Portuguese language that covers statistics topics for all teaching levels. An important challenge is to enlarge the number of teachers that promote possibilities of active learning in their classes and, consequently, in the teaching-learning of statistics. We think AtivEstat is an important tool, in this challenge.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116973478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Pessanha, Alexandre Marinho, L. C. Laurencel, M. V. P. Souza
In general the undergraduate curriculum in statistics offers one semester basic course on linear programming (LP). The conventional course on LP includes simplex algorithm, duality theory, sensitivity analysis and some applications like the feedmix and transport problems. This outline seems to be distant from the mainstream curriculum in statistics. In order to partially overcome this shortcoming, we propose to introduce a technique based on linear programming called Data Envelopment Analysis (DEA) on the LP courses for students of statistics. DEA has gained momentum as a powerful complementary method for statistical tools in the research agenda as well as in practical activities of economic efficiency evaluation.
{"title":"Teaching data envelopment analysis in undergraduate statistics courses","authors":"J. Pessanha, Alexandre Marinho, L. C. Laurencel, M. V. P. Souza","doi":"10.52041/srap.15313","DOIUrl":"https://doi.org/10.52041/srap.15313","url":null,"abstract":"In general the undergraduate curriculum in statistics offers one semester basic course on linear programming (LP). The conventional course on LP includes simplex algorithm, duality theory, sensitivity analysis and some applications like the feedmix and transport problems. This outline seems to be distant from the mainstream curriculum in statistics. In order to partially overcome this shortcoming, we propose to introduce a technique based on linear programming called Data Envelopment Analysis (DEA) on the LP courses for students of statistics. DEA has gained momentum as a powerful complementary method for statistical tools in the research agenda as well as in practical activities of economic efficiency evaluation.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128345198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The advancement of technologies of information and communication has motivated the development of the most different and innovative manners of propagating knowledge through the Web. The teaching-learning process must be designed in such a way as to allow a perfect integration between technological tools and learning actions used in education. In this work, we have developed a statistics calculator for webpage with the purpose of performing the descriptive analysis of database. The web programming language used to develop this calculator was PHP together with other web languages, such as HTML, CSS and JavaScript. This web application is going to be an important tool to help both our undergraduate and graduate students as professors in their statistics lectures or in the data analysis of their research projects. The descriptive analysis is the initial part of the data analysis used to describe, organize and summarize the collected data (Larson & Farber, 2003). Before performing the descriptive analysis is necessary to classify variables as qualitative and quantitative. In our case, we are interested in calculating the measures of location and the measures of dispersion of the quantitative variables. The measures of location calculated are minimum, maximum, mode, mean, and percentiles. The measures of dispersion calculated are range, interquartile range, variance, standard deviation and coefficient of variation. In the main window page of the statistics calculator, the sequence of data should be typed manually or imported from a text file (txt extension). Therefore, it is possible that the web application calculates the measures of position and the measure of dispersion of this database. These results are displayed in html format and the print of this content can be also requested. A test of the white-box type (Pressman, 2010) was done to validate the source code of the web application in order to evaluate its internal structures and to repair some found semantic errors.
{"title":"Development of a statistics calculator for descriptive analysis of database","authors":"Michele Figueiró, P. Chicon, L. Paschoal","doi":"10.52041/srap.15716","DOIUrl":"https://doi.org/10.52041/srap.15716","url":null,"abstract":"The advancement of technologies of information and communication has motivated the development of the most different and innovative manners of propagating knowledge through the Web. The teaching-learning process must be designed in such a way as to allow a perfect integration between technological tools and learning actions used in education. In this work, we have developed a statistics calculator for webpage with the purpose of performing the descriptive analysis of database. The web programming language used to develop this calculator was PHP together with other web languages, such as HTML, CSS and JavaScript. This web application is going to be an important tool to help both our undergraduate and graduate students as professors in their statistics lectures or in the data analysis of their research projects. The descriptive analysis is the initial part of the data analysis used to describe, organize and summarize the collected data (Larson & Farber, 2003). Before performing the descriptive analysis is necessary to classify variables as qualitative and quantitative. In our case, we are interested in calculating the measures of location and the measures of dispersion of the quantitative variables. The measures of location calculated are minimum, maximum, mode, mean, and percentiles. The measures of dispersion calculated are range, interquartile range, variance, standard deviation and coefficient of variation. In the main window page of the statistics calculator, the sequence of data should be typed manually or imported from a text file (txt extension). Therefore, it is possible that the web application calculates the measures of position and the measure of dispersion of this database. These results are displayed in html format and the print of this content can be also requested. A test of the white-box type (Pressman, 2010) was done to validate the source code of the web application in order to evaluate its internal structures and to repair some found semantic errors.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128712622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Com a ênfase que se tem hoje em inserir tecnologia digital na educação, para auxiliar no trabalho do professor e na aprendizagem do estudante, o uso de tablets, smartphones, software, aos poucos estãosendo inseridos no espaço escolar, além de auxiliar nas diversas atividades da nossa vida social. Portanto, o estudo tem como objetivo criar um instrumento para avaliar aplicativos voltados para o ensino de Estatística na Educação Básica, avaliando as dimensões técnicas, pedagógicas e estatística desses software. Assim, buscamos identificar aplicativos com sistema Android, na condição que os mesmos fossem gratuitos e no idioma português, em julho de 2014, identificando assim, apenas três aplicativos. Na análise, verificamos limitações nos aplicativos nas três dimensões. Contudo, o instrumento ainda aponta o que o professor pode verificar para contemplar na sua aula o que o recurso tem a contribuir na prática no ensino de estatística.
{"title":"Aplicativos para o ensino de estatística: avaliação e reflexões sobre seu uso","authors":"Paulo Ribeiro","doi":"10.52041/srap.15101","DOIUrl":"https://doi.org/10.52041/srap.15101","url":null,"abstract":"Com a ênfase que se tem hoje em inserir tecnologia digital na educação, para auxiliar no trabalho do professor e na aprendizagem do estudante, o uso de tablets, smartphones, software, aos poucos estãosendo inseridos no espaço escolar, além de auxiliar nas diversas atividades da nossa vida social. Portanto, o estudo tem como objetivo criar um instrumento para avaliar aplicativos voltados para o ensino de Estatística na Educação Básica, avaliando as dimensões técnicas, pedagógicas e estatística desses software. Assim, buscamos identificar aplicativos com sistema Android, na condição que os mesmos fossem gratuitos e no idioma português, em julho de 2014, identificando assim, apenas três aplicativos. Na análise, verificamos limitações nos aplicativos nas três dimensões. Contudo, o instrumento ainda aponta o que o professor pode verificar para contemplar na sua aula o que o recurso tem a contribuir na prática no ensino de estatística.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129734382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The goal of education highlighted by several Brazilian official documents is to develop students' critical thinking and acting as well as their autonomy. Teaching statistics through projects contributes to these goals, once it involves analysis and decision making.
{"title":"Teaching statistics through projects","authors":"Mariana Busatta, Marcos Magalhães","doi":"10.52041/srap.15704","DOIUrl":"https://doi.org/10.52041/srap.15704","url":null,"abstract":"The goal of education highlighted by several Brazilian official documents is to develop students' critical thinking and acting as well as their autonomy. Teaching statistics through projects contributes to these goals, once it involves analysis and decision making.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114828359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lucia Helena Rack Dos Santos, J. Alves, Elisa Henning
Este trabalho apresenta uma pesquisa realizada no âmbito da Educação Matemática e da Educação Estatística para selecionar e testar objetos de aprendizagem de Estatística que podem ser utilizados como apoio ao processo de Alfabetização Matemática de crianças que cursam o ciclo de alfabetização (primeiro, segundo e terceiro ano do Ensino Fundamental). Foram utilizados repositórios digitais para buscar os objetos de aprendizagem. Os objetos de aprendizagem encontrados foram testados pelos pesquisadores que avaliaram o seu funcionamento, sua aplicabilidade e sua pertinência à proposta de serem recursos de ensino para alfabetização matemática na perspectiva da Educação Estatística. Os resultados da pesquisa foram apresentados na forma de uma análise que mostrou a identificação dos objetos de aprendizagem e seus objetivos, bem como uma avaliação crítica dos testes realizados.
{"title":"O uso de objetos de aprendizagem de estatística na alfabetização matemática","authors":"Lucia Helena Rack Dos Santos, J. Alves, Elisa Henning","doi":"10.52041/srap.15120","DOIUrl":"https://doi.org/10.52041/srap.15120","url":null,"abstract":"Este trabalho apresenta uma pesquisa realizada no âmbito da Educação Matemática e da Educação Estatística para selecionar e testar objetos de aprendizagem de Estatística que podem ser utilizados como apoio ao processo de Alfabetização Matemática de crianças que cursam o ciclo de alfabetização (primeiro, segundo e terceiro ano do Ensino Fundamental). Foram utilizados repositórios digitais para buscar os objetos de aprendizagem. Os objetos de aprendizagem encontrados foram testados pelos pesquisadores que avaliaram o seu funcionamento, sua aplicabilidade e sua pertinência à proposta de serem recursos de ensino para alfabetização matemática na perspectiva da Educação Estatística. Os resultados da pesquisa foram apresentados na forma de uma análise que mostrou a identificação dos objetos de aprendizagem e seus objetivos, bem como uma avaliação crítica dos testes realizados.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128161480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
If there is an issue that is particularly hard to understand for students in statistical inference that is the concept of the distribution of a combination of random variables: an estimator. In a massive, 300 or more students’ classroom, the challenge is even greater. This situation is common at the Faculty of Economics of the National University of Córdoba (FCE- UNC), Argentina, with more than 12,000 students. The purpose of this work is to show how to take advantage from the production of Scorm materials that facilitate the integration of resources available on the web to improve the study of statistical issues in mass classrooms through the interaction with Moodle platform. Based on Exe Learning, an SCORM was developed. This is an interactive material to complement the study of Sampling Distributions. Includes sections designed to ensure understanding of the concepts, based on the use of simulators from the Rice University and auto evaluation questions. You may visit the site at: http://aulas.eco.unc.edu.ar/course/view.php?id=7 Implemented in a course of statistical inference at FCE-UNC it seems to be a very good alternative in the search for high degree of personalization in the interaction with the students, despite the massiveness of the number of attendees. A personal score is assigned on the base of the student interaction with the Scorm and registered in Moodle. Feedback is automatically generated while using the app (correct answers are stimulated with Genial! Well done!, etc. and those wrong with clues to get to the correct answer and an expression of encouragement: Try again! It is important to remark that this kind of materials also seem to be an excellent tool to motivate teachers (materials production) and students (Statistics education in the age of social networking and distance education). Also are intended to close the gap in advancing Statistical education using technology and mobile devices.
{"title":"Remix technics with exe learning to improve statistics learning using moodle","authors":"G. Heckmann","doi":"10.52041/srap.15706","DOIUrl":"https://doi.org/10.52041/srap.15706","url":null,"abstract":"If there is an issue that is particularly hard to understand for students in statistical inference that is the concept of the distribution of a combination of random variables: an estimator. In a massive, 300 or more students’ classroom, the challenge is even greater. This situation is common at the Faculty of Economics of the National University of Córdoba (FCE- UNC), Argentina, with more than 12,000 students. The purpose of this work is to show how to take advantage from the production of Scorm materials that facilitate the integration of resources available on the web to improve the study of statistical issues in mass classrooms through the interaction with Moodle platform. Based on Exe Learning, an SCORM was developed. This is an interactive material to complement the study of Sampling Distributions. Includes sections designed to ensure understanding of the concepts, based on the use of simulators from the Rice University and auto evaluation questions. You may visit the site at: http://aulas.eco.unc.edu.ar/course/view.php?id=7 Implemented in a course of statistical inference at FCE-UNC it seems to be a very good alternative in the search for high degree of personalization in the interaction with the students, despite the massiveness of the number of attendees. A personal score is assigned on the base of the student interaction with the Scorm and registered in Moodle. Feedback is automatically generated while using the app (correct answers are stimulated with Genial! Well done!, etc. and those wrong with clues to get to the correct answer and an expression of encouragement: Try again! It is important to remark that this kind of materials also seem to be an excellent tool to motivate teachers (materials production) and students (Statistics education in the age of social networking and distance education). Also are intended to close the gap in advancing Statistical education using technology and mobile devices.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"62 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Statistics should always be taught to groups of students no larger than 120. Unfortunately, that is rarely the case. The strategies for teaching and learning Statistics to larger groups are very complex and yield questionable results. Learning Statistics often requires very personalized work that would be very difficult or simply impossible to achieve in a large classroom. Here we present an application, called UB-Tracking (UB: University of Barcelona), structured within the Moodle environment for teaching and managing large groups in Statistics. The application allows teachers to schedule various simultaneous tasks to monitor all the students, both working individually and in groups, and to profile those tasks by types of students. It also facilitates fast track display yield obtained during the course. Finally, it also provides teachers with more profitable teaching time due to the large amount of information readily available.
{"title":"Development of a moodle tool for massive group teaching, learning and management in statistics","authors":"J. Guàrdia-Olmos, M. Peró-Cebollero","doi":"10.52041/srap.15109","DOIUrl":"https://doi.org/10.52041/srap.15109","url":null,"abstract":"Statistics should always be taught to groups of students no larger than 120. Unfortunately, that is rarely the case. The strategies for teaching and learning Statistics to larger groups are very complex and yield questionable results. Learning Statistics often requires very personalized work that would be very difficult or simply impossible to achieve in a large classroom. Here we present an application, called UB-Tracking (UB: University of Barcelona), structured within the Moodle environment for teaching and managing large groups in Statistics. The application allows teachers to schedule various simultaneous tasks to monitor all the students, both working individually and in groups, and to profile those tasks by types of students. It also facilitates fast track display yield obtained during the course. Finally, it also provides teachers with more profitable teaching time due to the large amount of information readily available.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125780210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The poster to be presented is based on a field research practical activity developed with an evening secondary class in a public school located in the countryside of Rio Grande do Sul. This activity is part of a professional master's research developed for the Programa de Pós-Graduação em Ensino de Matemática, from UFRGS (Universidade Federal do Rio Grande do Sul, Brazil). The main objective is to stimulate the learning of statistical concepts through research practice with residents of the city where the school is located. All the procedure included the students as the main characters, having the teacher as a mediator.
将要展示的海报是基于在南里奥格兰德州农村的一所公立学校的夜间中学课堂上开展的实地研究实践活动。这项活动是UFRGS(巴西南里奥格兰德州联邦大学)为Pós-Graduação em Ensino de Matemática项目开发的专业硕士研究的一部分。主要目标是通过与学校所在城市的居民进行研究实践来激发统计概念的学习。整个过程以学生为主体，以教师为中介。
{"title":"Statistics education in evening high school from a field research practice","authors":"Daniel Müller, Luciana Neves Nunes","doi":"10.52041/srap.15712","DOIUrl":"https://doi.org/10.52041/srap.15712","url":null,"abstract":"The poster to be presented is based on a field research practical activity developed with an evening secondary class in a public school located in the countryside of Rio Grande do Sul. This activity is part of a professional master's research developed for the Programa de Pós-Graduação em Ensino de Matemática, from UFRGS (Universidade Federal do Rio Grande do Sul, Brazil). The main objective is to stimulate the learning of statistical concepts through research practice with residents of the city where the school is located. All the procedure included the students as the main characters, having the teacher as a mediator.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133306798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aimed to investigate the influence of an educational intervention with scales represented in bar charts and lines, with 69 primary school 5th grade students (10 years old) with three types of activities that explored the scale concept : length measures (MC), number of lines (RN) and maps (MP). During the intervention, we sought to generate discussion about the unity of the scale and the existing proportionality within. The results revealed that after only two intervention sessions, the students in all groups had a significant advancement. Although the activities required different contexts, a particular type of solution strategy for each one was not found. Thus, it would be safe to affirm that if students are to become critical readers and producers of information in graphics, they will need to be given a systematic work in schools.
{"title":"Learning scales represented in graphics: an intervention study","authors":"Betânia Evangelista, G. Guimarães","doi":"10.52041/srap.15207","DOIUrl":"https://doi.org/10.52041/srap.15207","url":null,"abstract":"This research aimed to investigate the influence of an educational intervention with scales represented in bar charts and lines, with 69 primary school 5th grade students (10 years old) with three types of activities that explored the scale concept : length measures (MC), number of lines (RN) and maps (MP). During the intervention, we sought to generate discussion about the unity of the scale and the existing proportionality within. The results revealed that after only two intervention sessions, the students in all groups had a significant advancement. Although the activities required different contexts, a particular type of solution strategy for each one was not found. Thus, it would be safe to affirm that if students are to become critical readers and producers of information in graphics, they will need to be given a systematic work in schools.","PeriodicalId":273663,"journal":{"name":"Advances in Statistics Education: Developments, Experiences, and Assessments IASE Satellite","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128914871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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