首页 > 最新文献

New Skills in the Changing World of Statistics Education最新文献

英文 中文
Integrating ‘education for sustainable development’ in statistics classes: visual analysis of social and economic data with gapminder 将“可持续发展教育”纳入统计课程:使用gapminder对社会和经济数据进行可视化分析
Pub Date : 2020-12-01 DOI: 10.52041/IASE.20103
Martin Andre, Z. Lavicza, Theodosia Prodromou
Sustainable development goals (SDGs) address various aspects of future human development such as poverty, pollution, or climate change. Education for Sustainable Development (ESD) seeks to encourage students to actively participate and consider these issues in sustainable development. Following design-based research approaches, our study aims to identify opportunities for integrating ESD into statistics education. We describe the main features of an ESD-integrated learning trajectory for middle school students exploring sets of ESD related data visually with the software Gapminder. The outcomes of our study suggest that (1) Students’ engagement in forming statistical models of various countries’ sustainable development developed their abilities to generate statistical questions (2) Their intuitive knowledge of statistical concepts was further formalized during their subsequent analyses.
可持续发展目标(sdg)涉及未来人类发展的各个方面,如贫困、污染或气候变化。可持续发展教育旨在鼓励学生积极参与和考虑可持续发展中的这些问题。遵循基于设计的研究方法,我们的研究旨在确定将ESD整合到统计教育中的机会。我们描述了一个与ESD集成的学习轨迹的主要特征,中学生使用软件Gapminder可视化地探索ESD相关数据集。我们的研究结果表明:(1)学生参与形成各国可持续发展的统计模型,提高了他们提出统计问题的能力;(2)他们对统计概念的直观知识在随后的分析中进一步形式化。
{"title":"Integrating ‘education for sustainable development’ in statistics classes: visual analysis of social and economic data with gapminder","authors":"Martin Andre, Z. Lavicza, Theodosia Prodromou","doi":"10.52041/IASE.20103","DOIUrl":"https://doi.org/10.52041/IASE.20103","url":null,"abstract":"Sustainable development goals (SDGs) address various aspects of future human development such as poverty, pollution, or climate change. Education for Sustainable Development (ESD) seeks to encourage students to actively participate and consider these issues in sustainable development. Following design-based research approaches, our study aims to identify opportunities for integrating ESD into statistics education. We describe the main features of an ESD-integrated learning trajectory for middle school students exploring sets of ESD related data visually with the software Gapminder. The outcomes of our study suggest that (1) Students’ engagement in forming statistical models of various countries’ sustainable development developed their abilities to generate statistical questions (2) Their intuitive knowledge of statistical concepts was further formalized during their subsequent analyses.","PeriodicalId":448781,"journal":{"name":"New Skills in the Changing World of Statistics Education","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131914396","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}
引用次数: 0
Big Data Affluence in Statistics Application: A Comparison of Real Life and Simulated Open Data 统计应用中的大数据影响:现实生活和模拟开放数据的比较
Pub Date : 2020-12-01 DOI: 10.52041/IASE.20102
N. Adeboye, Ilaro Federal Polytechnic, Oyedunsi Olayiwola
Large data repositories or database management still remain a mirage and tough challenge to accomplish by most developing countries and establishments around the globe. This necessitates the need to improvise on the gathering of suitable data with a good spread to serve as a complement, in the absence of sufficient real-life data. Statisticians are increasingly posed with thought-provoking and even paradoxical questions, challenging our qualifications for entering the statistical paradises created by Big Data. Through classroom activities that involved both sourced real-life and simulated big data in R-environment, models were built and estimates obtained from the adopted techniques revealed the robustness of simulated datasets in a unified observation with improved significant values as reflected in the results. Students appreciated the use of such big data as it enhances their machine learning ability and the availability of sufficient data without delay.
大型数据存储库或数据库管理仍然是世界上大多数发展中国家和机构难以实现的海市蜃楼和艰巨挑战。这就需要在缺乏足够的实际数据的情况下,临时收集具有良好传播范围的适当数据作为补充。统计学家面临着越来越多发人深省甚至矛盾的问题,挑战着我们进入大数据创造的统计天堂的资格。通过课堂活动,在R-environment中建立了真实的大数据和模拟的大数据,通过所采用的技术建立了模型,并获得了估计,结果表明模拟数据集在统一观测中的鲁棒性得到了改善,显著值得到了提高。学生们很欣赏这种大数据的使用,因为它增强了他们的机器学习能力,并且可以及时获得足够的数据。
{"title":"Big Data Affluence in Statistics Application: A Comparison of Real Life and Simulated Open Data","authors":"N. Adeboye, Ilaro Federal Polytechnic, Oyedunsi Olayiwola","doi":"10.52041/IASE.20102","DOIUrl":"https://doi.org/10.52041/IASE.20102","url":null,"abstract":"Large data repositories or database management still remain a mirage and tough challenge to accomplish by most developing countries and establishments around the globe. This necessitates the need to improvise on the gathering of suitable data with a good spread to serve as a complement, in the absence of sufficient real-life data. Statisticians are increasingly posed with thought-provoking and even paradoxical questions, challenging our qualifications for entering the statistical paradises created by Big Data. Through classroom activities that involved both sourced real-life and simulated big data in R-environment, models were built and estimates obtained from the adopted techniques revealed the robustness of simulated datasets in a unified observation with improved significant values as reflected in the results. Students appreciated the use of such big data as it enhances their machine learning ability and the availability of sufficient data without delay.","PeriodicalId":448781,"journal":{"name":"New Skills in the Changing World of Statistics Education","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125593674","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}
引用次数: 0
Statistical literacy and quantitative reasoning: Rethinking the curriculum 统计素养与定量推理:对课程的再思考
Pub Date : 2020-12-01 DOI: 10.52041/IASE.20104
Gail Burrill
The importance of statistical literacy/quantitative reasoning has been highlighted for decades; today the need is even more compelling with data science emerging as foundational in many disciplines. Educated students should understand how to make decisions in the presence of uncertainty and how to interpret quantitative information presented to them in the course of their professional and personal activities. Too often, however, students have limited experience in thinking and reasoning based on real data. This paper explores how ideas from data science interface with notions of statistical literacy/quantitative reasoning, considers foundational concepts necessary to enable students to engage with real data sets in the learning process, and identifies potential curricular elements that are important for all students from these perspectives.
统计素养/定量推理的重要性已经被强调了几十年;如今,随着数据科学成为许多学科的基础,这种需求变得更加迫切。受过教育的学生应该懂得如何在存在不确定性的情况下做出决定,以及如何解释在他们的专业和个人活动过程中呈现给他们的定量信息。然而,学生往往缺乏基于真实数据的思考和推理经验。本文探讨了数据科学的思想如何与统计素养/定量推理的概念相结合,考虑了使学生在学习过程中接触真实数据集所必需的基本概念,并从这些角度确定了对所有学生都很重要的潜在课程元素。
{"title":"Statistical literacy and quantitative reasoning: Rethinking the curriculum","authors":"Gail Burrill","doi":"10.52041/IASE.20104","DOIUrl":"https://doi.org/10.52041/IASE.20104","url":null,"abstract":"The importance of statistical literacy/quantitative reasoning has been highlighted for decades; today the need is even more compelling with data science emerging as foundational in many disciplines. Educated students should understand how to make decisions in the presence of uncertainty and how to interpret quantitative information presented to them in the course of their professional and personal activities. Too often, however, students have limited experience in thinking and reasoning based on real data. This paper explores how ideas from data science interface with notions of statistical literacy/quantitative reasoning, considers foundational concepts necessary to enable students to engage with real data sets in the learning process, and identifies potential curricular elements that are important for all students from these perspectives.","PeriodicalId":448781,"journal":{"name":"New Skills in the Changing World of Statistics Education","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125465501","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}
引用次数: 1
期刊
New Skills in the Changing World of Statistics Education
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1