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Journal of Statistics and Data Science Education最新文献

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Investigating Sensitive Issues in Class Through Randomized Response Polling 通过随机回复投票调查课堂上的敏感问题
IF 1.7
Journal of Statistics and Data Science Education Pub Date : 2024-01-05 DOI: 10.1080/26939169.2024.2302179
Christian Genest, James A. Hanley, Sahir R. Bhatnagar
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引用次数: 0
Teaching Students to Read COVID-19 Journal Articles in Statistics Courses 在统计学课程中教学生阅读 COVID-19 期刊论文
IF 1.7
Journal of Statistics and Data Science Education Pub Date : 2024-01-05 DOI: 10.1080/26939169.2024.2302185
Lu Ye, Yu Jin
{"title":"Teaching Students to Read COVID-19 Journal Articles in Statistics Courses","authors":"Lu Ye, Yu Jin","doi":"10.1080/26939169.2024.2302185","DOIUrl":"https://doi.org/10.1080/26939169.2024.2302185","url":null,"abstract":"","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"43 39","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139382407","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
Journal of Statistics and Data Science Education 2023 Associate Editors 统计与数据科学教育杂志》2023 年副主编
IF 1.7
Journal of Statistics and Data Science Education Pub Date : 2024-01-02 DOI: 10.1080/26939169.2024.2296266
{"title":"Journal of Statistics and Data Science Education 2023 Associate Editors","authors":"","doi":"10.1080/26939169.2024.2296266","DOIUrl":"https://doi.org/10.1080/26939169.2024.2296266","url":null,"abstract":"","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"12 4","pages":"i - i"},"PeriodicalIF":1.7,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139124770","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
Interviews of Notable Statistics and Data Science Educators 著名统计和数据科学教育工作者访谈录
IF 1.7
Journal of Statistics and Data Science Education Pub Date : 2024-01-02 DOI: 10.1080/26939169.2024.2293393
Nicholas Horton
{"title":"Interviews of Notable Statistics and Data Science Educators","authors":"Nicholas Horton","doi":"10.1080/26939169.2024.2293393","DOIUrl":"https://doi.org/10.1080/26939169.2024.2293393","url":null,"abstract":"","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"8 8","pages":"1 - 2"},"PeriodicalIF":1.7,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139124813","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
Coding Code: Qualitative Methods for Investigating Data Science Skills 编码代码:调查数据科学技能的定性方法
Journal of Statistics and Data Science Education Pub Date : 2023-11-03 DOI: 10.1080/26939169.2023.2277847
Allison S. Theobold, Megan H. Wickstrom, Stacey A. Hancock
{"title":"Coding Code: Qualitative Methods for Investigating Data Science Skills","authors":"Allison S. Theobold, Megan H. Wickstrom, Stacey A. Hancock","doi":"10.1080/26939169.2023.2277847","DOIUrl":"https://doi.org/10.1080/26939169.2023.2277847","url":null,"abstract":"– Despite the elevated importance of Data Science in Statistics, there exists limited research investigating how students learn the computing concepts and skills necessary for carrying out data science tasks. Computer Science educators have investigated how students debug their own code and how students reason through foreign code. While these studies illuminate different aspects of students’ programming behavior or conceptual understanding, a method has yet to be employed that can shed light on students’ learning processes. This type of inquiry necessitates qualitative methods, which allow for a holistic description of the skills a student uses throughout the computing code they produce, the organization of these descriptions into themes, and a comparison of the emergent themes across students or across time. In this paper we share how to conceptualize and carry out the qualitative coding process with students’ computing code. Drawing on the Block Model (Schulte, 2008) to frame our analysis, we explore two types of research questions which could be posed about students’ learning.","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"30 38","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135818592","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
IN PURSUIT OF CAMPUS-WIDE DATA LITERACY: A GUIDE TO DEVELOPING A STATISTICS COURSE FOR STUDENTS IN NON-QUANTITATIVE FIELDS 追求校园范围的数据素养:为非定量领域的学生开发统计课程的指南
Journal of Statistics and Data Science Education Pub Date : 2023-10-31 DOI: 10.1080/26939169.2023.2276844
Alexis Lerner, Andrew Gelman
{"title":"IN PURSUIT OF CAMPUS-WIDE DATA LITERACY: A GUIDE TO DEVELOPING A STATISTICS COURSE FOR STUDENTS IN NON-QUANTITATIVE FIELDS","authors":"Alexis Lerner, Andrew Gelman","doi":"10.1080/26939169.2023.2276844","DOIUrl":"https://doi.org/10.1080/26939169.2023.2276844","url":null,"abstract":"Data literacy for students in non-quantitative fields is important as statistics become the grammar of research and how the world’s decisions are made. Statistics courses are typically offered by mathematics or statistics departments or by social and natural sciences such as economics, political science, psychology, and biology. Here we discuss how to construct a statistics course for students in non-quantitative fields, with a goal of integrating statistical material with students' substantive interests, using student-focused teaching methods and technology to increase student involvement. We demonstrate this kind of hybrid course with the example of an introductory applied statistics class, taught at both the University of Toronto's Anne Tanenbaum Centre for Jewish Studies and the United States Naval Academy.","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"36 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135808696","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
Can you trust your memory? 你能相信你的记忆吗?
Journal of Statistics and Data Science Education Pub Date : 2023-10-27 DOI: 10.1080/26939169.2023.2276445
Jeff Witmer
{"title":"Can you trust your memory?","authors":"Jeff Witmer","doi":"10.1080/26939169.2023.2276445","DOIUrl":"https://doi.org/10.1080/26939169.2023.2276445","url":null,"abstract":"Data reported from memory can be unreliable. A simple activity lets students experience this firsthand.","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"7 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136234201","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
Data analytics and programming for linguistics students: A SWOT and survey study 语言学学生的数据分析和编程:SWOT和调查研究
Journal of Statistics and Data Science Education Pub Date : 2023-10-27 DOI: 10.1080/26939169.2023.2276441
Dennis Tay
{"title":"Data analytics and programming for linguistics students: A SWOT and survey study","authors":"Dennis Tay","doi":"10.1080/26939169.2023.2276441","DOIUrl":"https://doi.org/10.1080/26939169.2023.2276441","url":null,"abstract":"Data analytics and programming skills are increasingly important in the humanities, especially in disciplines like linguistics due to the rapid growth of natural language processing (NLP) technologies. However, attitudes and perceptions of students as novice learners, and the attendant pedagogical implications, remain underexplored. This paper reports a combined SWOT (strengths, weaknesses, opportunities, threats) and survey analysis of how postgraduate linguistics students reflect on internal qualities and external circumstances that affect their learning. SWOT is a popular self-reflective strategic planning tool by organizations. An innovative approach was used to classify students into four SWOT-defined learner dispositions (SO, ST, WO, and WT) based on their relative emphasis on strengths vs. weaknesses, and opportunities vs. threats. Scores on a modified Mathematics Attitude Survey measuring self-rated ABILITY, INTEREST, UTILITY, and PERSONAL GROWTH were then compared across these dispositions. Results reveal i) some unexpected and interesting strengths/weaknesses/opportunities/threats, ii) perceived internal traits (strengths/weaknesses) play a greater role than external traits (opportunities/threats) in shaping students’ attitudes, iii) a paradox where more confident students tend to be less interested, and vice-versa. Pedagogical implications arising from the results are discussed with an eye on enhancing the teaching of data analytics and programming skills to this target population.","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":"86 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263434","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
Culturally Relevant Data in Teaching of Statistics and Data Science Courses 统计学与数据科学课程教学中的文化相关数据
IF 1.7
Journal of Statistics and Data Science Education Pub Date : 2023-08-21 DOI: 10.1080/26939169.2023.2249969
Travis Weiland, Immanuel Williams
{"title":"Culturally Relevant Data in Teaching of Statistics and Data Science Courses","authors":"Travis Weiland, Immanuel Williams","doi":"10.1080/26939169.2023.2249969","DOIUrl":"https://doi.org/10.1080/26939169.2023.2249969","url":null,"abstract":"","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43650351","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
Implementation of Alternative Grading Methods in a Mathematical Statistics Course 另类评分方法在数理统计课程中的实施
IF 1.7
Journal of Statistics and Data Science Education Pub Date : 2023-08-21 DOI: 10.1080/26939169.2023.2249956
Brenna Curley, J. Downey
{"title":"Implementation of Alternative Grading Methods in a Mathematical Statistics Course","authors":"Brenna Curley, J. Downey","doi":"10.1080/26939169.2023.2249956","DOIUrl":"https://doi.org/10.1080/26939169.2023.2249956","url":null,"abstract":"","PeriodicalId":34851,"journal":{"name":"Journal of Statistics and Data Science Education","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47668872","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
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