{"title":"ROLE OF CONTEXT IN STATISTICS: INTERPRETING SOCIAL AND HISTORICAL EVENTS","authors":"Z. Yilmaz, Kübra Ergül, Gürsu Aşık","doi":"10.52041/serj.v22i1.72","DOIUrl":null,"url":null,"abstract":"Recent educational reforms include a vision of integrating reflective practice and contextual consideration into statistics education. Yet, statistics courses are rarely taught in a way that connects the data-enriched world to the educational experiences of learners. This deficiency highlights the need for statistics teaching courses to be aligned with the endeavors to equip pre-service mathematics teachers (PMTs) with skills needed in a data-enriched world. The data for the case study reported in this paper were collected from a newly developed statistics teaching course implemented at a university in Turkey. The aim of the research was to explore how seven PMTs used their context knowledge of data to examine statistical information critically. Researchers collected and analyzed videos of classroom activities, PMTs’ written work, and their written Google Blogger reflections. Results suggested the PMTs’ evaluation of examined historical events shifted from an emphasis on personal knowledge and experiences to the use of statistical reasoning and contextual knowledge. Context helped them understand the story reflected in the data, revise their initial perceptions or understanding of the events under examination, and pose further statistical inquiry questions.","PeriodicalId":38581,"journal":{"name":"Statistics Education Research Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics Education Research Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52041/serj.v22i1.72","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Recent educational reforms include a vision of integrating reflective practice and contextual consideration into statistics education. Yet, statistics courses are rarely taught in a way that connects the data-enriched world to the educational experiences of learners. This deficiency highlights the need for statistics teaching courses to be aligned with the endeavors to equip pre-service mathematics teachers (PMTs) with skills needed in a data-enriched world. The data for the case study reported in this paper were collected from a newly developed statistics teaching course implemented at a university in Turkey. The aim of the research was to explore how seven PMTs used their context knowledge of data to examine statistical information critically. Researchers collected and analyzed videos of classroom activities, PMTs’ written work, and their written Google Blogger reflections. Results suggested the PMTs’ evaluation of examined historical events shifted from an emphasis on personal knowledge and experiences to the use of statistical reasoning and contextual knowledge. Context helped them understand the story reflected in the data, revise their initial perceptions or understanding of the events under examination, and pose further statistical inquiry questions.
期刊介绍:
SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free. SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed. The Journal encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere.