The Journal of Statistics and Data Science Education Jackie Dietz Best Paper Award

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES Journal of Statistics and Data Science Education Pub Date : 2023-05-04 DOI:10.1080/26939169.2023.2226026
N. Horton
{"title":"The Journal of Statistics and Data Science Education Jackie Dietz Best Paper Award","authors":"N. Horton","doi":"10.1080/26939169.2023.2226026","DOIUrl":null,"url":null,"abstract":"The Journal of Statistics and Data Science Education (JSDSE) Jackie Dietz Best Paper Award was established in 2011 to honor Jackie’s contributions as the founding editor of the journal from 1993 to 2000. JSDSE (formerly the Journal of Statistics Education) was founded as an open-access journal with no author publication charges to help foster pedagogical discussions and to share best practices. More on Jackie’s many contributions to the journal and the profession can be found in Rossman and Dietz (2011) and Horton (2022). The Jackie Dietz award is presented annually to the best paper among all those appearing in JSDSE in the previous year. What makes a “best” paper? Table 1 displays the names, authors, and year of publication for the first 13 recipients. Looking back at the winners, it’s clear that the winning papers are asking important questions and exploring the big picture of data science and statistics education. The formal criteria for the award call for papers that:","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"31 1","pages":"113 - 115"},"PeriodicalIF":1.5000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistics and Data Science Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/26939169.2023.2226026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
引用次数: 0

Abstract

The Journal of Statistics and Data Science Education (JSDSE) Jackie Dietz Best Paper Award was established in 2011 to honor Jackie’s contributions as the founding editor of the journal from 1993 to 2000. JSDSE (formerly the Journal of Statistics Education) was founded as an open-access journal with no author publication charges to help foster pedagogical discussions and to share best practices. More on Jackie’s many contributions to the journal and the profession can be found in Rossman and Dietz (2011) and Horton (2022). The Jackie Dietz award is presented annually to the best paper among all those appearing in JSDSE in the previous year. What makes a “best” paper? Table 1 displays the names, authors, and year of publication for the first 13 recipients. Looking back at the winners, it’s clear that the winning papers are asking important questions and exploring the big picture of data science and statistics education. The formal criteria for the award call for papers that:
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
统计与数据科学教育杂志Jackie Dietz最佳论文奖
统计与数据科学教育杂志(JSDSE)杰基·迪茨最佳论文奖于2011年设立,以表彰杰基在1993年至2000年期间作为该杂志的创始编辑所做的贡献。JSDSE(以前的Journal of Statistics Education)是一本开放获取的期刊,不收取作者出版费用,旨在促进教学讨论和分享最佳实践。更多关于Jackie对期刊和专业的贡献,可以在Rossman和Dietz(2011)和Horton(2022)中找到。Jackie Dietz奖每年颁发给上一年在JSDSE上发表的所有论文中的最佳论文。什么是“最好”的论文?表1显示了前13位收件人的姓名、作者和出版年份。回顾获奖者,很明显,获奖论文提出了重要的问题,并探索了数据科学和统计教育的大局。该奖项的正式标准要求论文:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
期刊最新文献
Investigating Sensitive Issues in Class Through Randomized Response Polling Teaching Students to Read COVID-19 Journal Articles in Statistics Courses Journal of Statistics and Data Science Education 2023 Associate Editors Interviews of Notable Statistics and Data Science Educators Coding Code: Qualitative Methods for Investigating Data Science Skills
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
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
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
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
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