Acknowledgment: We are grateful to the people who acted as referees for all issues of the Statistics Education Research Journal published this year. First published December 2020 at Statistics Education Research Journal: Archives
{"title":"SERJ 2020 REFEREES","authors":"Jennifer J. Kaplan","doi":"10.52041/SERJ.V19I3.59","DOIUrl":"https://doi.org/10.52041/SERJ.V19I3.59","url":null,"abstract":"Acknowledgment: We are grateful to the people who acted as referees for all issues of the Statistics Education Research Journal published this year.\u0000First published December 2020 at Statistics Education Research Journal: Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48599227","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}
To evaluate the impact of a multidisciplinary, project-based course in introductory statistics, this exploratory study examined learning experiences, feelings of confidence, and interest in future experiences with data for undergraduate students in Ghana, West Africa. Students completed a one-semester, introductory statistics course utilizing the Passion-driven Statistics curriculum. Results showed more than half of the students put more effort into the course and found the material more challenging compared to other courses, while nearly three-quarters reported interest in one or more follow-up courses. Importantly, students also reported increased confidence in a variety of applied statistical skills. These findings demonstrate the positive impact of a multidisciplinary, project-based curriculum on undergraduate students in Ghana, West Africa and demonstrate the potential for its global portability. First published December 2020 at Statistics Education Research Journal: Archives
{"title":"TAKING PROJECT-BASED STATISTICS ABROAD: LEARNING EXPERIENCES AND OUTCOMES OF A PROJECT-BASED STATISTICS COURSE IN WEST AFRICA","authors":"Rebecca Awuah, Kristel M. Gallagher, L. Dierker","doi":"10.52041/SERJ.V19I3.54","DOIUrl":"https://doi.org/10.52041/SERJ.V19I3.54","url":null,"abstract":"To evaluate the impact of a multidisciplinary, project-based course in introductory statistics, this exploratory study examined learning experiences, feelings of confidence, and interest in future experiences with data for undergraduate students in Ghana, West Africa. Students completed a one-semester, introductory statistics course utilizing the Passion-driven Statistics curriculum. Results showed more than half of the students put more effort into the course and found the material more challenging compared to other courses, while nearly three-quarters reported interest in one or more follow-up courses. Importantly, students also reported increased confidence in a variety of applied statistical skills. These findings demonstrate the positive impact of a multidisciplinary, project-based curriculum on undergraduate students in Ghana, West Africa and demonstrate the potential for its global portability.\u0000First published December 2020 at Statistics Education Research Journal: Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46046162","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}
In this paper, we make a qualitative analysis of didactic experiments performed with five 6 to 10-year-old children and five primary school teachers, starting from a structured game with probabilistic elements. The fundamental idea is to stimulate probabilistic thinking not only by playing a card game with decision making in uncertain situations, but by inventing games modifying the initial game. These experiments are grounded on the importance of emotions for learning, the subjective probability approach, and researches on problem posing. We have found that this activity of inventing games has a significant impact on the development of probabilistic thinking in children and teachers; it reduces the anxiety and it could be used in teaching strategies to foster statistical and probability literacy. Some of its positive effects are the strengthening of creativity, self-efficacy, self-esteem, the ability to ask questions, and the enjoyment of learning. First published February 2020 at Statistics Education Research Journal Archives
{"title":"GAME INVENTION AS MEANS TO STIMULATE PROBABILISTIC THINKING","authors":"Martín Malaspina, Uldarico Malaspina","doi":"10.52041/SERJ.V19I1.119","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.119","url":null,"abstract":"In this paper, we make a qualitative analysis of didactic experiments performed with five 6 to 10-year-old children and five primary school teachers, starting from a structured game with probabilistic elements. The fundamental idea is to stimulate probabilistic thinking not only by playing a card game with decision making in uncertain situations, but by inventing games modifying the initial game. These experiments are grounded on the importance of emotions for learning, the subjective probability approach, and researches on problem posing. We have found that this activity of inventing games has a significant impact on the development of probabilistic thinking in children and teachers; it reduces the anxiety and it could be used in teaching strategies to foster statistical and probability literacy. Some of its positive effects are the strengthening of creativity, self-efficacy, self-esteem, the ability to ask questions, and the enjoyment of learning.\u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42421167","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 paper describes a national statistics-oriented project-based learning activity, which has been delivered annually for five years in Australia and the outcomes of a particular collaboration of this initiative with the discipline of environmental sustainability. The national initiative engages primary- and secondary-school students from varied backgrounds and education levels in quantitative-based investigations. It develops key future workplace skills aligned with national school-curriculum outcomes and motivates students by enabling them to take the lead, determine the context, collaborate, investigate, and create. An underlying delivery model connects primary- and secondary-school students with tertiary educators, industry, and the practice of statistics. A pre-post cross-sectional study revealed significant improvements in students’ and teachers’ confidence with, and awareness of, the field of statistics. Australian school teachers are saying, “21st Century learning at its best” and “motivates and engages students.” Industry mentors are saying, “provides students a unique opportunity.” Students are saying, “engaging, educational and enjoyable.” The activity has engaged some eighty schools, and annually several hundred students participate. First published February 2020 at Statistics Education Research Journal Archives
{"title":"ENGAGING SCHOOL STUDENTS AND EDUCATORS WITH THE PRACTICE OF STATISTICS","authors":"P. Howley, T. K. Roberts","doi":"10.52041/SERJ.V19I1.117","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.117","url":null,"abstract":"This paper describes a national statistics-oriented project-based learning activity, which has been delivered annually for five years in Australia and the outcomes of a particular collaboration of this initiative with the discipline of environmental sustainability. The national initiative engages primary- and secondary-school students from varied backgrounds and education levels in quantitative-based investigations. It develops key future workplace skills aligned with national school-curriculum outcomes and motivates students by enabling them to take the lead, determine the context, collaborate, investigate, and create. An underlying delivery model connects primary- and secondary-school students with tertiary educators, industry, and the practice of statistics. A pre-post cross-sectional study revealed significant improvements in students’ and teachers’ confidence with, and awareness of, the field of statistics. Australian school teachers are saying, “21st Century learning at its best” and “motivates and engages students.” Industry mentors are saying, “provides students a unique opportunity.” Students are saying, “engaging, educational and enjoyable.” The activity has engaged some eighty schools, and annually several hundred students participate.\u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46857375","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 paper aims at highlighting initiatives in developing future statisticians directed at high-school and university levels in Niger. More specifically, it focuses on collaborations, partnerships, outreach initiatives and supporting mechanisms, which may contribute to increase engagement and interest in and attraction to the field of statistics in the era of data science and data-driven innovations. Providing sufficient exposure to modern statistical analysis, computational and graphical tools, written and oral communication skills, and the ever-growing interdisciplinary use of statistics are key activities for building future generations of statisticians. Furthermore, current curricula as well as pedagogical approaches, teaching materials, and assessment methods need to be re-thought in order tomeet the requirements of the skills needed in the 21st century ensuring effective interaction with scientists, public institutions, industry, civil society, and policy makers. First published February 2020 at Statistics Education Research Journal Archives
{"title":"PROMOTING STATISTICS IN THE ERA OF DATA SCIENCE AND DATA-DRIVEN INNOVATIONS","authors":"I. Zakari","doi":"10.52041/SERJ.V19I1.132","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.132","url":null,"abstract":"This paper aims at highlighting initiatives in developing future statisticians directed at high-school and university levels in Niger. More specifically, it focuses on collaborations, partnerships, outreach initiatives and supporting mechanisms, which may contribute to increase engagement and interest in and attraction to the field of statistics in the era of data science and data-driven innovations. Providing sufficient exposure to modern statistical analysis, computational and graphical tools, written and oral communication skills, and the ever-growing interdisciplinary use of statistics are key activities for building future generations of statisticians. Furthermore, current curricula as well as pedagogical approaches, teaching materials, and assessment methods need to be re-thought in order tomeet the requirements of the skills needed in the 21st century ensuring effective interaction with scientists, public institutions, industry, civil society, and policy makers.\u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43915755","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}
Students in many Australian universities start their studies mathematically underprepared as there are no prerequisites for mathematics, and assumed knowledge requirements are often overlooked. Many degrees include at least one statistics subject for which students require a reasonable level of mathematical ability to successfully complete. Students’ efforts to grasp quantitative skills often lead to feelings of anxiety, stress, and lack of self-confidence. The Mathematics Education Support Hub (MESH) at WSU provides free support in mathematics and statistics to all students, both undergraduate and postgraduate, to increase their engagement, understanding, and abilities in statistics as well as to overcome their anxiety. In this paper we focus on the drop-in consultation service, which provides “just in time” help in campus libraries. Data is collected for every consultation, which enabling an investigation in relation to the mathematics background of students and the problematic topics in statistics. Text mining is used to examine students’ queries to identify the topics in statistics subjects that students struggle most with. Outcomes of this analysis can be used by statistics instructors and mathematics support centres to improve students’ experience in learning and to help to reduce statistics anxiety in future generations of statistics students. First published February 2020 at Statistics Education Research Journal Archives
{"title":"DEVELOPING STATISTICAL UNDERSTANDING AND OVERCOMING ANXIETY VIA DROP-IN CONSULTATIONS","authors":"Gizem Intepe, Donald Shearman","doi":"10.52041/SERJ.V19I1.127","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.127","url":null,"abstract":"Students in many Australian universities start their studies mathematically underprepared as there are no prerequisites for mathematics, and assumed knowledge requirements are often overlooked. Many degrees include at least one statistics subject for which students require a reasonable level of mathematical ability to successfully complete. Students’ efforts to grasp quantitative skills often lead to feelings of anxiety, stress, and lack of self-confidence. The Mathematics Education Support Hub (MESH) at WSU provides free support in mathematics and statistics to all students, both undergraduate and postgraduate, to increase their engagement, understanding, and abilities in statistics as well as to overcome their anxiety. In this paper we focus on the drop-in consultation service, which provides “just in time” help in campus libraries. Data is collected for every consultation, which enabling an investigation in relation to the mathematics background of students and the problematic topics in statistics. Text mining is used to examine students’ queries to identify the topics in statistics subjects that students struggle most with. Outcomes of this analysis can be used by statistics instructors and mathematics support centres to improve students’ experience in learning and to help to reduce statistics anxiety in future generations of statistics students. \u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41663069","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 paper addresses a critical component of the infrastructure necessary for professional development toward more effective teaching and learning of research and statistical methods. In particular, an interdisciplinary in-service model is proposed, which has the potential to better prepare educators to address institution-specific needs amidst dwindling resources. In particular, we present an outcome-based model for developing statistical capacity in research in response to the need for training statisticians in the academia. The aim of the programme was to equip selected faculty with the competencies needed to provide various forms of statistical support services in line with the research, extension, and publication mandate of a large private university in the Philippines. The programme was administered in three phases: (1) training phase, (2) statistical consulting and mentoring phase, and (3) “cascading or extension” phase. Evaluation of the outcome involves participants’ demonstration of learning in various statistical methods through serving as resource persons during the cascading activity and the documentation of the statistical consulting experiences made during the programme. First published February 2020 at Statistics Education Research Journal Archives
{"title":"AN OUTCOME-BASED STATISTICAL CAPACITY DEVELOPMENT PROGRAMME TO SUPPORT RESEARCH AT A UNIVERSITY","authors":"Enriqueta D. Reston, E. S. Poliquit","doi":"10.52041/SERJ.V19I1.129","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.129","url":null,"abstract":"This paper addresses a critical component of the infrastructure necessary for professional development toward more effective teaching and learning of research and statistical methods. In particular, an interdisciplinary in-service model is proposed, which has the potential to better prepare educators to address institution-specific needs amidst dwindling resources. In particular, we present an outcome-based model for developing statistical capacity in research in response to the need for training statisticians in the academia. The aim of the programme was to equip selected faculty with the competencies needed to provide various forms of statistical support services in line with the research, extension, and publication mandate of a large private university in the Philippines. The programme was administered in three phases: (1) training phase, (2) statistical consulting and mentoring phase, and (3) “cascading or extension” phase. Evaluation of the outcome involves participants’ demonstration of learning in various statistical methods through serving as resource persons during the cascading activity and the documentation of the statistical consulting experiences made during the programme. \u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44898469","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}
In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and reflective citizens. However, the development of the concept of statistical literacy mirrors the current gap between purely technical and socio-political characterizations of Big Data. In this paper, we review the recent history of the concept of statistical literacy and highlight the need to integrate the new challenges and critical issues from data science associated with Big Data, including ethics, epistemology, mathematical justification, and math washing. First published February 2020 at Statistics Education Research Journal Archives
{"title":"BIG-DATA LITERACY AS A NEW VOCATION FOR STATISTICAL LITERACY","authors":"Karen François, C. Monteiro, P. Allo","doi":"10.52041/SERJ.V19I1.130","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.130","url":null,"abstract":"In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and reflective citizens. However, the development of the concept of statistical literacy mirrors the current gap between purely technical and socio-political characterizations of Big Data. In this paper, we review the recent history of the concept of statistical literacy and highlight the need to integrate the new challenges and critical issues from data science associated with Big Data, including ethics, epistemology, mathematical justification, and math washing. \u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49211858","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}
Typically, training in Russia for professionals includes school, university, and postgraduate education. People make their choice regarding university or job after school, and they choose jobs after university. These are very sensitive matters. Help in making the right choice is a real asset. The Russian Association of Statisticians (RASt) is an independent, non-profit organisation that does not provide statistical education as a university and does not collect and process data as a statistical institution. But RASt helps students, universities, and producers of statistical data find each other. The paper describes the activities of RASt which organises the school competition in statistics called “Trend” to support students in choosing a profession and the kick-off competition “Career” for university students to help them get to know their employers. The organisers of the competition for school children usually face a number of problems related to the young age of participants and to limited funding. If we are talking about such a country as huge as Russia, the problems increase. To solve these problems, organisers use a combination of competition of presentations about original statistical researches provided by school teams in regions and an online quiz on statistical topics at the final stage. Technologically, the entire process is supported by ROSSTAT with its IT network. The organisers hope that the competition will make the profession of statistician more popular in Russia and attract more students to statistical programmes in universities. First published February 2020 at Statistics Education Research Journal Archives
{"title":"RUSSIAN ASSOCIATION OF STATISTICIANS: FILLING THE GAPS IN THE EDUCATION CHAIN","authors":"A. Ponomarenko, Ekaterina M. Svirina","doi":"10.52041/SERJ.V19I1.126","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.126","url":null,"abstract":"Typically, training in Russia for professionals includes school, university, and postgraduate education. People make their choice regarding university or job after school, and they choose jobs after university. These are very sensitive matters. Help in making the right choice is a real asset. The Russian Association of Statisticians (RASt) is an independent, non-profit organisation that does not provide statistical education as a university and does not collect and process data as a statistical institution. But RASt helps students, universities, and producers of statistical data find each other. The paper describes the activities of RASt which organises the school competition in statistics called “Trend” to support students in choosing a profession and the kick-off competition “Career” for university students to help them get to know their employers. The organisers of the competition for school children usually face a number of problems related to the young age of participants and to limited funding. If we are talking about such a country as huge as Russia, the problems increase. To solve these problems, organisers use a combination of competition of presentations about original statistical researches provided by school teams in regions and an online quiz on statistical topics at the final stage. Technologically, the entire process is supported by ROSSTAT with its IT network. The organisers hope that the competition will make the profession of statistician more popular in Russia and attract more students to statistical programmes in universities. \u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49470252","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}
Since many decisions in politics, economics, and social sciences are based on statistics, statistical literacy is a key component for an active citizen. Statistical skills and statistical reasoning can already be enhanced in primary school. Therefore, not only in Germany, statistics is an element of the primary-school curriculum, which usually includes issues of posing questions, collecting data, and of drawing displays such as pie charts or bar graphs. But to engage students and to start building future generations of statisticians at an early stage, more challenging incentives should engage students in meaningful statistical inquiries. In this paper, we describe activities that are part of a larger, long-term project that investigates how and if teaching units can be designed for primary schools and what their effect on students at that early age is. We focus on specific activities that have been tested for students at age 10. The empirical results show that – beyond learning techniques and the use of software (TinkerPlots) – the students acquired a way of statistical reasoning about the posed problems. Besides the cognitive development, we also documented the affective impact of our course on the young learners, which was very good. Our studies corroborate that it is possible to lead students to sophisticated statistical activities such as comparing groups with the help of suitable software. Furthermore, a positive attitude towards statistics could be observed as a result of the course, which may be the basis for further success in learning statistics. All in all, we can pave the way to the future generation of statisticians already at an early age in primary school. First published February 2020 at Statistics Education Research Journal Archives
{"title":"BUILDING STATISTICIANS AT AN EARLY AGE – STATISTICAL PROJECTS EXPLORING MEANINGFUL DATA IN PRIMARY SCHOOL","authors":"Daniel Frischemeier","doi":"10.52041/SERJ.V19I1.118","DOIUrl":"https://doi.org/10.52041/SERJ.V19I1.118","url":null,"abstract":"Since many decisions in politics, economics, and social sciences are based on statistics, statistical literacy is a key component for an active citizen. Statistical skills and statistical reasoning can already be enhanced in primary school. Therefore, not only in Germany, statistics is an element of the primary-school curriculum, which usually includes issues of posing questions, collecting data, and of drawing displays such as pie charts or bar graphs. But to engage students and to start building future generations of statisticians at an early stage, more challenging incentives should engage students in meaningful statistical inquiries. In this paper, we describe activities that are part of a larger, long-term project that investigates how and if teaching units can be designed for primary schools and what their effect on students at that early age is. We focus on specific activities that have been tested for students at age 10. The empirical results show that – beyond learning techniques and the use of software (TinkerPlots) – the students acquired a way of statistical reasoning about the posed problems. Besides the cognitive development, we also documented the affective impact of our course on the young learners, which was very good. Our studies corroborate that it is possible to lead students to sophisticated statistical activities such as comparing groups with the help of suitable software. Furthermore, a positive attitude towards statistics could be observed as a result of the course, which may be the basis for further success in learning statistics. All in all, we can pave the way to the future generation of statisticians already at an early age in primary school. \u0000First published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48717727","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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