Abstract:Publicly-available datasets, though useful for education, are often constructed for purposes that are quite different from students' own. To investigate and model phenomena, then, students must learn how to repurpose the data. This paper reports on an emerging line of research that builds on work in data modeling, exploratory data analysis, and storytelling to examine and support students' data repurposing. We ask: What opportunities emerge for students to reason about the relationship between data, context, a… Show more
“…Thus the author suggested that "both data-context and learning-experience-contexts may need to be taken into account when developing learners' reasoning from data" (Pfannkuch, 2011, p. 43). Similar observations are reported in the literature on the relationships between data and context (e.g., Ben-Zvi & Aridor-Berger, 2016;Wilkerson & Laina, 2018).…”
K–12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a progression of student understanding and learning of data display in terms of two progress variables: constructing data displays and interpreting data displays. An initial data display LP was revised through expert review and then supported the design of a set of data display tasks to elicit evidence of student knowledge and skills in constructing and interpreting data display. The data display LP and tasks presented in this research report can inform assessment development as well as classroom instruction, and they can be used for further studies on potential interactions between the two progress variables in students' development of data display knowledge.
“…Thus the author suggested that "both data-context and learning-experience-contexts may need to be taken into account when developing learners' reasoning from data" (Pfannkuch, 2011, p. 43). Similar observations are reported in the literature on the relationships between data and context (e.g., Ben-Zvi & Aridor-Berger, 2016;Wilkerson & Laina, 2018).…”
K–12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a progression of student understanding and learning of data display in terms of two progress variables: constructing data displays and interpreting data displays. An initial data display LP was revised through expert review and then supported the design of a set of data display tasks to elicit evidence of student knowledge and skills in constructing and interpreting data display. The data display LP and tasks presented in this research report can inform assessment development as well as classroom instruction, and they can be used for further studies on potential interactions between the two progress variables in students' development of data display knowledge.
“…What types of instruction and supports enable students to gain confidence in manipulating data? Some studies (e.g., Wilkerson & Laina, 2018) are emerging, but we need more. To save the reader from even more exposition-for the time being-we will simply present a slew of potential questions that could be explored:…”
Section: What Else Should We Think About and Do?mentioning
“…In doing so, our project recognizes that a great deal of conceptual and personal work goes into students' initial preparation and exploration of data. For example, students may seek a grounding in the data by filtering and searching a dataset to find specific records that represent themselves or other familiar information [18,21]. Or, they might want to reduce the complexity of their initial investigation by focusing on only a few key attributes of a large dataset, expanding their investigation later [7].…”
Figure 1: Story Builder allows students to organize scatter plots, data maps, web pages, images, text, and other media into narratives that describe how their analysis and findings unfold over "moments" in time.
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