{"title":"从小培养统计学家&探索小学有意义数据的统计项目","authors":"Daniel Frischemeier","doi":"10.52041/SERJ.V19I1.118","DOIUrl":null,"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. \nFirst published February 2020 at Statistics Education Research Journal Archives","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"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\":null,\"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. 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BUILDING STATISTICIANS AT AN EARLY AGE – STATISTICAL PROJECTS EXPLORING MEANINGFUL DATA IN PRIMARY SCHOOL
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
期刊介绍:
SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free. SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed. The Journal encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere.