R. Gould, Suyen Machado, Christine Ong, T. Johnson, J. Molyneux, S. Nolen, H. Tangmunarunkit, L. Trusela, Linda Zanontian
{"title":"Teaching data science to secondary students: the mobilize introduction to data science curriculum","authors":"R. Gould, Suyen Machado, Christine Ong, T. Johnson, J. Molyneux, S. Nolen, H. Tangmunarunkit, L. Trusela, Linda Zanontian","doi":"10.52041/srap.16402","DOIUrl":"https://doi.org/10.52041/srap.16402","url":null,"abstract":"Making sense of data is complex, and the knowledge and skills required to understand \"Big Data\" - and many open data sources - go beyond those taught in traditional introductory statistics courses. The Mobilize project has created and implemented a course for secondary students, Introduction to Data Science (IDS), that aims to develop computational and statistical thinking skills so that students can access and analyze data from a variety of traditional and non-traditional sources. Although the course does not directly address open source data, such data are used in the curriculum, and an outcome of the project is to develop skills and habits of mind that allow students to use open source data to understand their community. This paper introduces the course and describes some of the challenges in its implementation.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114482788","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}
{"title":"Melding data with social justice in undergraduate statistics and data science courses","authors":"Silas Bergen","doi":"10.52041/srap.16301","DOIUrl":"https://doi.org/10.52041/srap.16301","url":null,"abstract":"The world is increasingly filled with large, rich, and publicly-available data. These data are from a wide array of contexts including education, foreign policy, criminal justice, housing, and health care. Accordingly, undergraduate instructors of statistics and data science have an invaluable opportunity to engage students in social justice through the lens of quantitative analytics. In this paper I elaborate on ways I have incorporated these topics and data across a wide range of undergraduate statistics and data science courses. I also describe ways I seek to foster student reflection on the realities of social inequity, not just as data analysts but as world citizens. I conclude by discussing challenges I have faced and opportunities for future growth.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554757","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}
{"title":"Empowering citizens against the typical misuse of data concerning risks","authors":"L. Martignon","doi":"10.52041/srap.16206","DOIUrl":"https://doi.org/10.52041/srap.16206","url":null,"abstract":"Risks have to be evaluated on the basis of information that media, advertisements and brochures pro- vide. These are often incomplete, reporting, for instance, only relative risks instead of both relative and absolute risks. While it is important for the informed citizen to be trained in the evaluation of scales and diagrams on risk-related topics it is also relevant that she acquires basic competencies for the understanding of risk; this requires, as is the claim of this paper, minimal effort. Results will be presented that demonstrate current deficits in the understanding of risk which are the consequence of misinformation or of bad representation formats and can be eliminated by a good yet elementary training in the understanding of basic risk-related concepts.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124465680","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}
{"title":"Foregrounding sociopolitical awareness and critique in secondary school statistics curriculum","authors":"Travis Weiland","doi":"10.52041/srap.16107","DOIUrl":"https://doi.org/10.52041/srap.16107","url":null,"abstract":"With large scale social issues such as human migration, climate change, and growing economic disparities, statistical literacy needs to go beyond consuming and producing data that merely incorporates real-world contexts, but that critiques the structures and discourses that are shaping and perpetuating inequitable social, and economic conditions. The goal of this work is to theorize the importance of fostering sociopolitical awareness and critique in conjunction with learning powerful statistical concepts and practice, fostering a critical statistical literacy in secondary mathematics classrooms. In taking an initial step towards this goal I will be discussing the results of an analysis of an American written curriculum series for secondary mathematics, looking at the contexts and the elements of a critical statistical literacy present in those lessons.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124888786","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}
{"title":"Storytelling from social data: dynamic data exploration using JMP","authors":"Volker Kraft","doi":"10.52041/srap.16604","DOIUrl":"https://doi.org/10.52041/srap.16604","url":null,"abstract":"Interacting with graphical displays and multivariate analysis tools helps to understand what the data are telling us. The interactivity of JMP for all types of data, including social, geographic and time-series data, helps with efficient visualization and modeling, supports decision-making from data, and facilitates the communication of findings and results. In this hands-on workshop we used recent social data to illustrate the power of dynamic tools for data exploration, visualization and analysis, and explored the role of interactivity in statistical education. Participants were asked to download and install the 30-day trial version of JMP (www.jmp.com/trial for Windows or Mac) before the workshop.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"45 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121002535","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}
{"title":"“Statistica enigmistica”: An ISTAT puzzle magazine to introduce non-specialists to statistics through a ludic approach","authors":"Silvia Da Valle, Susi Osti","doi":"10.52041/srap.16201","DOIUrl":"https://doi.org/10.52041/srap.16201","url":null,"abstract":"Spreading the culture of data as a means of understanding and evaluating reality, and of making informed decisions, is one of the missions of Istat, the Italian National Institute of Statistics. Istat promotes statistical literacy also for non-professional audiences. Therefore, researchers’ efforts are aimed at finding appealing proposals to emphasize the importance of having statistical skills in every-day life. Recently, Istat created “Statistica enigmistica”: a puzzle magazine designed to play with concepts, definitions and data, and to encourage the use of the cognitive tools of Statistics when observing and comprehending society. The games have been designed to involve a wide audience, ranging from children to adults. The topics have been selected to offer an overview of the main statistical data regarding Italian society, and to give useful references for further insights.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124137100","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}
{"title":"The need to reflect: data journalism as an aspect of disrupted practice in digital journalism and in journalism education","authors":"Lars Rinsdorf, R. Boers","doi":"10.52041/srap.16207","DOIUrl":"https://doi.org/10.52041/srap.16207","url":null,"abstract":"Open data is both an opportunity and a challenge for journalism. Our paper describes how newsroom quality management has to be readjusted to provide accurate news in data driven journalism and how these changes affect the pedagogy and learning environments of journalism education. We discuss qualitative changes in newsgathering caused by the availability of open data sets and big data sources and their consequences for quality management against the background of structuration theory. Although there is no clear evidence signaling disruptive change in quality management, two developments cause a need for normative realignment, expansion of individual skill sets and an inventory of novel resources.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127563704","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}
{"title":"xStatistical literacy assessment procedures. The experience of ISTAT in Tuscany","authors":"Alessandro Valentini, Silvia Da Valle","doi":"10.52041/srap.16709","DOIUrl":"https://doi.org/10.52041/srap.16709","url":null,"abstract":"GOALS: One of the missions of Istat, Italian NSI, is to promote statistical literacy both at a national and at a regional level through its territorial offices. In order to optimize activities and the use of resources, the territorial office for Tuscany recently decided to devote specific attention to the topic of assessment. The purpose of this paper is to illustrate the strategies adopted by the office to measure the statistical literacy level of adults, in particular of college students. METHOD: The assessment involves the three dimensions of statistical literacy: numeracy, communicating, discovering the use of statistics. The process is based on the submission of a short and friendly online questionnaire (QValStat), structured according to the most recent international literature on the subject. Twelve close ended questions composed the questionnaire, each one with three possible answers: one correct answer [score=1]; two wrong answers [score=0]. The median time needed to compile QValStat is about 11 minutes. After filling out the questionnaire, participants receive their scores and their “statistical profile”. The project was carried out thanks to the cooperation of the three universities in Tuscany (Florence, Pisa and Siena). QValStat was submitted for the first time in 2015 to more than 10,000 first-year students of the three universities. RESULTS: Response rate to QValStat was 32%. Results show that there are difficulties in mastering statistical instruments in terms of numeracy, communicating and using statistics in daily life. In a 0-100 scale the mean score was 63.7 with significant differences between students according to some individual covariates (gender and secondary level degree). IMPLICATION FOR THEORY & PRACTICE: Information feedback from the assessment experience encourages specialists to explore new targets (teachers, civil servants, stakeholders ...) and new territories to investigate how to realize ad hoc strategies to permeate different audiences. The research direction is focused on the continuous improvement of both the assessment methodology and the submission process. ORIGINALITY & VALUE: Such an experience was realized in Italy for the first time thanks to the activities of Istat in Tuscany. Forthcoming dissemination projects will be addressed on the basis of the results of the assessment, in order to benefit from the combined actions of evaluation and promotion of statistical literacy.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131266982","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}
{"title":"New data visualization tools for better understanding statistics. Examples to use in the classroom","authors":"Cimpoeru Smaranda","doi":"10.52041/srap.16502","DOIUrl":"https://doi.org/10.52041/srap.16502","url":null,"abstract":"This paper describes some of the most versatile data visualization techniques that are suitable for teaching statistics, but could also be used by each citizen. In the present paper, I focus on Gapminder and Tableau, and for each of the two I present their main characteristics, advantages and learning objectives in teaching statistics that could be attained with the use of these tools. Moreover, some examples of using them in class are detailed, including personal experiences. Each tool’s limits and ways of overcoming them are also covered.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127985552","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}
{"title":"Using statistical datasets for describing poverty and income inequality","authors":"Klára Kazár","doi":"10.52041/srap.16104","DOIUrl":"https://doi.org/10.52041/srap.16104","url":null,"abstract":"Understanding a social phenomenon such as poverty has a key importance for students in the field of economic education. At the same time, attracting and keeping the attention of Generation Y university students is difficult nowadays. Members of Generation Y need technology oriented, team work based, entertaining and visualization based tasks in class. The present paper develops a lesson plan considered useful and interesting for students in the topic of poverty and income inequality. First, the features of Generation Y are listed; then, the experiences about a previously held seminar in the topic of poverty and income inequality and the applicable statistical databases are evaluated. Drawing on the results, the main points of a proposed lesson plan are described.","PeriodicalId":165958,"journal":{"name":"Promoting Understanding of Statistics about Society IASE Roundtable Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383896","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}