{"title":"A contemporary theory of mathematics education research","authors":"Stephen Lerman","doi":"10.1080/10986065.2021.1951981","DOIUrl":"https://doi.org/10.1080/10986065.2021.1951981","url":null,"abstract":"Over decades now, as spelt out clearly in the Preface and throughout the book, Tony has constantly extended and developed his knowledge and ideas, reflecting on what they imply for teaching, for te...","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"145 - 152"},"PeriodicalIF":1.6,"publicationDate":"2021-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1951981","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43871000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Examining how middle grade mathematics students seize learning opportunities through conflict in small groups","authors":"Tye G. Campbell","doi":"10.1080/10986065.2021.1949529","DOIUrl":"https://doi.org/10.1080/10986065.2021.1949529","url":null,"abstract":"ABSTRACT Understanding how students develop learning opportunities through peer-to-peer interaction is vital for advancing research and practice on collaborative learning environments. This study investigated the discourse practices middle grade students utilized to resolve conflict in ways that promoted or inhibited learning opportunities. Seventy-seven middle grade students were audio/video recorded as they worked in groups of three on cognitively demanding mathematical tasks over three days. Analysis centered on the nature of learners’ discourse practices within instances of small group conflict. The findings revealed 17 specific discourse practices which promote learning opportunities within conflict and six discourse practices which limit learning opportunities. Practitioners might leverage these findings by explicitly teaching and modeling the discourse practices which promote learning opportunities. Researchers might build upon the theoretical and methodological contributions of this study to examine promotive discourse practices under different constraints than were examined in the present analysis.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"208 - 231"},"PeriodicalIF":1.6,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1949529","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44016028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The double-edged sword of conjecturing","authors":"Michal Dvir, D. Ben-Zvi","doi":"10.1080/10986065.2021.1940427","DOIUrl":"https://doi.org/10.1080/10986065.2021.1940427","url":null,"abstract":"ABSTRACT Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students’ conjecturing may be beneficial, in particular to their emergent reasoning with informal statistical models and modeling, as well as examine what challenges it may entail – the double-edged sword of conjecturing. We introduce a framework to describe young learners’ reasoning with informal statistical models and modeling (RISM), in which students’ conjecturing is represented as one of two parallel planes of model creation and refinement. We offer a case study of a pair of students’ participation in an integrated modeling learning sequence, including both real-world modeling tasks and probability-world modeling tasks. The pair was chosen as both students held strong, opposing real-world conjectures. Our goal is to elucidate the roles these conjectures can play, for better or for worse, to fully harvest the pedagogical potential of conjecturing.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"153 - 176"},"PeriodicalIF":1.6,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1940427","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47033202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Can students with different language backgrounds profit equally from a language-responsive instructional approach for percentages? Differential effectiveness in a field trial","authors":"Susanne Prediger, Philipp Neugebauer","doi":"10.1080/10986065.2021.1919817","DOIUrl":"https://doi.org/10.1080/10986065.2021.1919817","url":null,"abstract":"ABSTRACT Language-responsive instructional approaches are intended to enhance the mathematics learning of students with low academic language proficiency, mostly by enriching mathematical content trajectories with systematic language-learning opportunities. However, little is known about their effects (and in particular differential effects) in linguistically diverse classrooms. The paper reports on a cluster-randomized field trial investigating the effectiveness of a language-responsive instructional approach for percentages in 38 mathematics classrooms with 655 seventh graders. The multilevel regression analysis shows that the intervention group developed significantly more conceptual understanding of percentages than the control group. In the intervention group, no differential effects were found for language proficiency, multilingual background, and immigrant status. These findings suggest that all students’ access to mathematical conceptual understanding can be promoted.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"2 - 22"},"PeriodicalIF":1.6,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1919817","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46052759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Introducing teachers who use GUI-driven tools for the randomization test to code-driven tools","authors":"Anna-Marie Fergusson, M. Pfannkuch","doi":"10.1080/10986065.2021.1922856","DOIUrl":"https://doi.org/10.1080/10986065.2021.1922856","url":null,"abstract":"ABSTRACT The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms using GUI-driven tools. A teaching experiment was conducted, using a learning task designed to introduce teachers familiar with using GUI-driven tools for teaching the randomization test to code-driven tools. Our findings from this exploratory study indicate that the design principles and considerations used to create the learning task supported teachers’ introduction to code-driven tools and encouraged an integration of statistical and computational thinking.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"24 1","pages":"336 - 356"},"PeriodicalIF":1.6,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1922856","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47505955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Students’ informal statistical inferences through data modeling with a large multivariate dataset","authors":"S. Kazak, T. Fujita, Manoli Pifarré Turmo","doi":"10.1080/10986065.2021.1922857","DOIUrl":"https://doi.org/10.1080/10986065.2021.1922857","url":null,"abstract":"ABSTRACT In today’s age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students’ data analytics skills in school. In this study, we examine how students apply the data modeling process to draw informal inferences when exploring trends, patterns and relationships in a real dataset using technological tools, such as CODAP and Excel. We analyzed 17–18-year-old students’ written reports on their explorations of data supplied by third parties. Students used a variety of statistical measures and visualizations to account for variability in analyzing data. They tended to make statements with certainty in their inferences and predictions beyond the data. When the pattern in the data was uncertain, they were inclined to use contextual knowledge to remain certain in their claims.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"23 - 43"},"PeriodicalIF":1.6,"publicationDate":"2021-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1922857","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46735143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rethinking Learning Trajectories in Light of Student Linguistic Diversity","authors":"William Zahner, Lynda Wynn","doi":"10.1080/10986065.2021.1931650","DOIUrl":"https://doi.org/10.1080/10986065.2021.1931650","url":null,"abstract":"ABSTRACT Learning trajectory (LT) research in mathematics education has shaped both instructional materials and assessments. But, the body of LT research has also been critiqued for not adequately considering equity and addressing student diversity. This study begins to fill this gap by characterizing the reasoning of 23 multilingual students who participated in task-based interviews about proportional relationships and linear functions. Using tasks aligned with an established LT, the analysis focuses on the interaction of task language demand and student language background. Results show how task linguistic complexity can interfere with accurately interpreting the mathematical reasoning of emergent bilingual students. We discuss the need to (a) incorporate a focus on linguistic diversity when planning instruction and (b) broaden the students who participate in LT research to avoid reinforcing implicitly biased assumptions about diverse learners.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"100 - 114"},"PeriodicalIF":1.6,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1931650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42799985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New ways of interacting with data, context, and chance in statistical modeling processes","authors":"J. Noll, Susanne Schnell, R. Gould, K. Makar","doi":"10.1080/10986065.2021.1922855","DOIUrl":"https://doi.org/10.1080/10986065.2021.1922855","url":null,"abstract":"Modeling is at the forefront of science and human activity, and “statistical models are developed as accounts of variability” (Lehrer & English, 2018, p. 230). The advent of data science has provid...","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"24 1","pages":"331 - 335"},"PeriodicalIF":1.6,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1922855","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43789599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revealing students’ stories as they construct and use a statistical model in TinkerPlots to conduct a randomization test for comparing two groups","authors":"J. Noll, D. Kirin, Kit Clement, Jason Dolor","doi":"10.1080/10986065.2021.1922858","DOIUrl":"https://doi.org/10.1080/10986065.2021.1922858","url":null,"abstract":"ABSTRACT Using simulation approaches when conducting randomization tests for comparing two groups in the context of experimental studies has been promoted as a beneficial approach for supporting student learning of statistical inference. Many researchers have suggested that the data production process in simulations for the randomization test intuitively connects to the random assignment used in the original study design, thus supporting students’ understanding of the logic of inference. Yet, there is little empirical research on how students initially think about the concepts and processes underlying the randomization test as they engage in constructing and using probability models to solve a problem. This work makes a contribution by deepening our understanding of students’ reasoning about randomization tests by focusing on a group of three students as they create and use a TinkerPlots model to simulate data and use this data to make a statistical inference. This work adopts a narrative lens through which to view these students’ reasoning and modeling activity. We compare and contrast the narratives we constructed for these students along with a narrative we constructed for a statistician. We discuss possible implications for teaching randomization tests for comparing two groups using a modeling and simulation approach.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"25 1","pages":"44 - 63"},"PeriodicalIF":1.6,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1922858","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43303884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle Wilkerson, Kathryn A. Lanouette, Rebecca Shareff
{"title":"Exploring variability during data preparation: a way to connect data, chance, and context when working with complex public datasets","authors":"Michelle Wilkerson, Kathryn A. Lanouette, Rebecca Shareff","doi":"10.1080/10986065.2021.1922838","DOIUrl":"https://doi.org/10.1080/10986065.2021.1922838","url":null,"abstract":"ABSTRACT Data preparation (also called “wrangling” or “cleaning”) – the evaluation and manipulation of data prior to formal analysis – is often dismissed as a precursor to meaningful engagement with a dataset. Here, we re-envision data preparation in light of calls to prepare students for a data-rich world. Traditionally, curricular statistics explorations involve data that are derived from observations that students record themselves or that reflect familiar, relatively closed systems. In contrast, pre-constructed public datasets are much larger in scope and involve temporal, geographic, and other dimensions that complicate inference and blur boundaries between “signal” and “noise.” As a result, students have fewer opportunities to consider sources of variability in such datasets. Due to these constraints, we argue that data preparation becomes an important site for students to reason about variability with public data. Through analyses of repeated task-based interviews with five pairs of adolescent participants, we find that specific actions during data preparation, such as filtering data or calculating new measures, presented opportunities to engage leaners with variability as they prepared and analyzed several public socioscientific datasets. More broadly, our study highlights some changes to theory and curriculum in statistics education that are necessitated by a focus on “big data literacy”.","PeriodicalId":46800,"journal":{"name":"Mathematical Thinking and Learning","volume":"24 1","pages":"312 - 330"},"PeriodicalIF":1.6,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10986065.2021.1922838","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42704005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}