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Integrating Community-Engaged Work into the Data Science Curriculum 将社区参与工作整合到数据科学课程中
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.remyz
Elizabeth Fry
{"title":"Integrating Community-Engaged Work into the Data Science Curriculum","authors":"Elizabeth Fry","doi":"10.52041/iase.remyz","DOIUrl":"https://doi.org/10.52041/iase.remyz","url":null,"abstract":"Community-engaged learning bridges course content with practical applications and allows students to apply learning in meaningful ways that contribute to social good. At St. Catherine University, community-engaged learning has been implemented in two undergraduate courses in data science and statistics at different levels. At the introductory level, students in a data visualization course used data from their community to explore long-term impacts of racially restrictive covenants that historically reserved land for the exclusive use of white people in the United States. Students in more advanced quantitative courses participated in two interdisciplinary data analysis events. In these events, students explored and analyzed large datasets in partnership with organizers in our local county to make policy recommendations for boosting economic mobility from poverty and work for racial equity in the county. This paper describes these community-engaged projects, summarizes student reception and takeaways, and provides some lessons learned and ideas for future work.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"58 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116626926","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
What meaning do future elementary schoolteachers attach to the numbers that appear in a EUROSTAT database? 未来的小学教师认为EUROSTAT数据库中的数字有什么意义?
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.nxull
Francisca M. Ubilla, Núria Gorgorió
{"title":"What meaning do future elementary schoolteachers attach to the numbers that appear in a EUROSTAT database?","authors":"Francisca M. Ubilla, Núria Gorgorió","doi":"10.52041/iase.nxull","DOIUrl":"https://doi.org/10.52041/iase.nxull","url":null,"abstract":"If we consider it important to prepare young people to become critical citizens, then we must begin by training teachers to cope with the complexity of databases in order to integrate them as resources for their future teaching. In the context of civic statistics, we carried out an activity structured around the basic cycle of learning from data with a group of first-year students on a primary teacher-training program. The activity was based on data extracted from Eurostat. In this paper, we analyze the way the students identified variables, values and their typology in order to show how they interpreted the “numbers” that appear in the tables, graphs and infographics. We conclude that understanding the numerical representations of civic statistics is a complex task that requires the learning of a decoding process.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128360209","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
How the project method contributes to the construction of meaning in statistics - also in a hybrid learning environment 在混合学习环境下，项目方法如何有助于统计学意义的建构
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.edeqv
M. Borovcnik, Teresita E. Terán
{"title":"How the project method contributes to the construction of meaning in statistics - also in a hybrid learning environment","authors":"M. Borovcnik, Teresita E. Terán","doi":"10.52041/iase.edeqv","DOIUrl":"https://doi.org/10.52041/iase.edeqv","url":null,"abstract":"We address problems that arise in teaching statistics in non-statistical degree courses in statistics. The typical student reveals basic difficulties in the understanding of the key concepts. This paper describes experiences with the “project method”, motivating students with real data from the future profession. The project method generated collaborative learning and social interaction between groups by embedding learning statistics in the context of applied problems in the form of projects. Godino’s semiotic ontological framework provides elements of his model of the instructional process and a didactic trajectory in his first exploratory phase of execution, as well as exposing the linguistic, situational, actuative, conceptual, propositional, and argumentative elements that are relevant in understanding a particular topic. Due to its relative success in our classes and a theoretical analysis, we propose the project method for teaching statistics, especially for hybrid courses where face-to-face is combined with virtual parts of knowledge acquisition.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129289006","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 and Statistics as basis for political decisions: lessons to be learnt from the COVID-19 pandemic 作为政治决策基础的数据和统计:从COVID-19大流行中吸取的教训
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.qctta
J. Engel, A. Wilhelm
{"title":"Data and Statistics as basis for political decisions: lessons to be learnt from the COVID-19 pandemic","authors":"J. Engel, A. Wilhelm","doi":"10.52041/iase.qctta","DOIUrl":"https://doi.org/10.52041/iase.qctta","url":null,"abstract":"The Covid-19 crisis has impressively raised the general awareness that our social coexistence and political decisions are essentially based on data, the weighing of risks and thus on probability estimates. This places high demands on the ability of health authorities, policy makers and the media to communicate statistical information as well as on the ability of citizens to understand these messages. In this paper we reflect on the role of scientific evidence in democratic societies and analyze selected illustrative examples of communicating evidence via visualizations and simulation, media reports, and expert’s statements. We identify venues and formats of communicating statistical information about the pandemics to the public that seems to be effective contrasting less helpful formats. We conclude by presenting recommendations for stakeholders in politics, media and statistics agencies on how to communicate empirical evidence to the public efficiently, released by the Deutsche Arbeitsgemeinschaft Statistik, an umbrella organization of statistical associations in Germany.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123880412","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
LeMe as a motivating and playful agent in the teaching of statistics in elementary education LeMe作为一个激励和有趣的代理在小学教育统计教学
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.zakkq
Thays Rodrigues Votto, Isadora Batisti, Mauren Porciúncula
{"title":"LeMe as a motivating and playful agent in the teaching of statistics in elementary education","authors":"Thays Rodrigues Votto, Isadora Batisti, Mauren Porciúncula","doi":"10.52041/iase.zakkq","DOIUrl":"https://doi.org/10.52041/iase.zakkq","url":null,"abstract":"This paper aims to investigate, through a focus group with graduate teachers from the Statistical Multimedia Literacy Program - LEME, the possible contributions of Statistics to the playful and motivating experiences of young people from the 6th to the 9th years of Elementary School. Qualitative methodology was adopted, through a focus group composed of 12 undergraduate students from a university in southern Brazil, who acted as teachers in the program. The corpus of analysis of the paper was composed by the transcript of this focus group, which was submitted to the Discourse of the Collective Subject - DSC. The analyzes revealed that LeME is a playful and motivating agent, as its activities and class development encompassed the following playful-motivational factors: teacher/student approach; innovation; interest; student context; construction of knowledge autonomously; happiness and fun.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121711948","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
Promoting interest and skills in statistical and multivariable thinking with social justice data investigations 通过社会公正数据调查提高统计和多变量思维的兴趣和技能
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.ohylj
Josephine Louie, Soma Roy, B. Chance, Jennifer Stiles, Emily R. Fagan
{"title":"Promoting interest and skills in statistical and multivariable thinking with social justice data investigations","authors":"Josephine Louie, Soma Roy, B. Chance, Jennifer Stiles, Emily R. Fagan","doi":"10.52041/iase.ohylj","DOIUrl":"https://doi.org/10.52041/iase.ohylj","url":null,"abstract":"The Strengthening Data Literacy across the Curriculum (SDLC) project has been developing and researching curriculum modules to build interest and skills in data science among U.S. high school students from historically marginalized groups. SDLC modules are centered on investigations of social justice questions using large-scale social science data and the Common Online Data Analysis Platform (CODAP). This paper examines the extent to which students show increased interest in statistics and data analysis, and stronger understanding of core statistical concepts and multivariable thinking, after completing a three-week SDLC module. This paper also discusses ways in which a social justice focus may contribute to students’ interests in and understanding of data analysis.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130932603","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
Developing regression heuristics through argumentation in computing laboratory 在计算机实验室通过论证发展回归启发式
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.pboun
Ken W. Li
{"title":"Developing regression heuristics through argumentation in computing laboratory","authors":"Ken W. Li","doi":"10.52041/iase.pboun","DOIUrl":"https://doi.org/10.52041/iase.pboun","url":null,"abstract":"Developing regression heuristics for students is not straightforward. It would be better to organize class settings to facilitate small group discussions; they can talk about how to address a question of common concern through argumentation such that their thoughts would be articulated. The students in the present study were divided into small groups in a computing laboratory in order to increase opportunities for peer discussion. An observation study was then conducted; the contents of their discussions were analyzed. It was found that argumentation was characterized by the question-and-answer exchanges that shaped the flow of regression tasks on which they worked. They were comfortable in presenting their standpoints or responses, and the responses were taken seriously by their peers. They raised questions when they found peers’ feedback vague. Besides, group interaction was associated with positive responses, thus articulating students’ thoughts, enriching thinking context, and broadening thinking perspective.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117345252","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
Universal design for inclusive education 全纳教育的通用设计
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.kxvpc
Bruno Greco De Sousa
{"title":"Universal design for inclusive education","authors":"Bruno Greco De Sousa","doi":"10.52041/iase.kxvpc","DOIUrl":"https://doi.org/10.52041/iase.kxvpc","url":null,"abstract":"With enforced distance learning based teaching during the Covid-19 pandemic, educators were urged to reflect on their teaching practices and best approaches to reach out to a variety of students. Universal Design allows for an inclusive world that considers the specificities that characterize and apply to each individual. The concept of Universal Design, advanced by Architect Ronald Mace, proposes that, whenever possible, all products and buildings should be deemed visually pleasing and usable by most individuals, regardless of age, ability or financial status. Seven principles are at the core of Universal Design: Equitable Use, Flexibility in Use, Simple and Intuitive, Perceptible Information, Tolerance for Error, Low Physical Effort, and Size and Space for Approach and Use. This study proposes the adaptation of Universal Design to the digital world of teaching Statistics. It will offer a roadmap through Universal Design for Inclusive Education, focusing on simple solutions when teaching Statistics online.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122092294","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
Beyond the availability of data 超越数据的可用性
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.ghjyu
Ednei Luís Becher, Jenifer Cassandra da Silva Oliveira
{"title":"Beyond the availability of data","authors":"Ednei Luís Becher, Jenifer Cassandra da Silva Oliveira","doi":"10.52041/iase.ghjyu","DOIUrl":"https://doi.org/10.52041/iase.ghjyu","url":null,"abstract":"This paper presents the results of a qualitative research in which a mathematics course undergraduate student prepared classes for High School students in a Brazilian public school using real data. It consists in a case study and the results point out that student's difficulties were concentrated in the overrated mathematical approach that was initially used by her, but the main difficulty was finding real accessible data available on the internet and understandable to teachers, since almost all visited websites, when offering access to data, did not provide information about the meaning of the variables or even on the instruments that originated them. Despite the existence of websites in English for this purpose, there are few sites in other languages and little diversity of topics is addressed. Furthermore, results indicate the necessity to foster in organizations the generation of potentially usable data by teachers to provide access to them.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128280982","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
modal – Insights into an Interdiciplinary Data Literacy Project with a Practical Approach 模态-用实用方法洞察跨学科数据素养项目
Proceedings of the IASE 2021 Satellite Conference Pub Date : 1900-01-01 DOI: 10.52041/iase.dcqtq
Natalia Weissker, Leonie Kauz
{"title":"modal – Insights into an Interdiciplinary Data Literacy Project with a Practical Approach","authors":"Natalia Weissker, Leonie Kauz","doi":"10.52041/iase.dcqtq","DOIUrl":"https://doi.org/10.52041/iase.dcqtq","url":null,"abstract":"One of the main missions of higher education is to prepare students for an increasingly digitalised future. This requires classic and digital competencies – the “Future Skills”. “Mannheimer Model Data Literacy Education” (modal) is an interdisciplinary learning and teaching project at the Mannheim UAS, in which Bachelor’s students of every faculty can train digital competencies. The following article introduces into the lecture series unimodal1 and the data project bimodal2. Both programmes encourage the training of Data Literacy, a model of competencies with a similar approach to Statistical Literacy and related terms. This involves participation in the “Skill Week”, a workshop series that includes entry-level modules in statistics, data analytics, and visualisation. Both programmes follow a modal Data Literacy framework comprising five competency fields. Through self-assessment, the participants were asked to judge their own development in each competency after the modal programme.","PeriodicalId":189852,"journal":{"name":"Proceedings of the IASE 2021 Satellite Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121873337","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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