Teaching, Learning, Policy & Leadership Research Works

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Now showing 1 - 5 of 10
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    Preparing K-12 Students to Meet their Data: Analyzing the Tools and Environments used in Introductory Data Science Contexts
    (Association for Computer Machinery (ACM), 2023-06-23) Israel-Fishelson, Rotem; Moon, Peter F.; Tabak, Rachel; Weintrop, David
    Data science education has gained momentum in recent years. Along with the development of curricula to teach data science, the number and diversity of tools for introducing data science to learners are also multiplying. The tools used to teach data science play a central role in shaping the learning experience. Therefore, it is important to carefully choose which tools to use to introduce learners to data science. This article presents a systematic review of 25 data science tools that are, or can be, used in introductory data science education for K-12 students. The identified tools list includes spreadsheets, visual analysis tools, and scripting environments. For each tool, we examine facets of its capabilities, interactions, educational support, and accessibility. This paper advances our understanding of the current state of introductory data science environments and highlights opportunities for creating new tools to better prepare learners to navigate the data-rich world surrounding them.
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    The Tools Being Used to Introduce Youth to Data Science
    (Association for Computer Machinery (ACM), 2023-06-19) Moon, Peter F.; Israel-Fishelson, Rotem; Tabak, Rachel; Weintrop, David
    Data is increasingly shaping the way people interact with each other and the world more broadly. For youth growing up in an increasingly data-driven society, it is critical they have foundational data literacy skills. A central component of data literacy is the ability to collect, analyze, visualize, and make meaning from data. All of these activities are mediated and shaped by the tools that youth use to carry out these data practices. Given the essential role tools play in enabling and supporting youth in engaging with and interpreting data, understanding what tools are used and how they are used in educational contexts will help us understand how youth are being prepared to be data-literate citizens. In this paper, we present the analysis of the data collection and analysis tools used in 4 widely adopted high school data science curricula. The analysis attends to both what tools are used as well as what datasets they are used to analyze. This work contributes to our understanding of the way youth are being introduced to concepts and practices from the field of data science and the role the tools play in shaping those experiences.
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    Analyzing identity trajectories within the physics community
    (American Physical Society, 2022-10-12) Quan, Gina M.; Turpen, Chandra; Elby, Andrew
    We analyze the identity trajectory of a single case study, Cassidy, within the physics community. We focus our analysis on two settings in the physics community: an undergraduate research experience, and undergraduate coursework. We use video data from three interviews (spanning roughly fifteen months) to longitudinally analyze shifts in participation. We discuss Cassidy’s experience through two constructs: normative identities, Cassidy’s sense of the valued roles within physics, as well as personal identity, who Cassidy is within the physics community and the extent to which she aligns with normative identities. In attending to shifts in the alignment between personal and normative identities, we identify several entry points, or salient events that open up new opportunities for participation.
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    Rethinking the division of labor between tutorial writers and instructors with respect to fostering equitable team dynamics
    (American Physical Society, 2020-12-04) Sabo, Hannah C.; Elby, Andrew
    [This paper is part of the Focused Collection on Curriculum Development: Theory into Design.] This paper proposes the rethinking of the division of labor between physics education research curriculum developers and classroom instructors. Historically, both curriculum developers and instructors have taken responsibility for fostering students’ conceptual development, epistemological development, and other learning goals related to physics content knowledge and practices or process skills. By contrast, responsibility for fostering productive group dynamics has been taken up almost entirely by instructors. Tutorial and lab developers structure their materials to be used in small groups, but have not generally designed, tested, and refined their materials to minimize problematic group dynamics. In this paper, we argue that the written tutorial can and should do more to prevent negative group dynamics from arising. To make this claim plausible, we describe an example from our own experience. While revising a tutorial, we noticed some problematic dynamics emerging; one of the students was unfairly blamed for a simulation-setting mistake and was later left out of a conversation. We came up with hypotheses about factors that might have contributed to those dynamics. A few of those factors, we argue, could be addressed in part through tutorial revision. While acknowledging that instructors will always have more capacity and hence more responsibility than curriculum writers to foster productive group dynamics, we call for tutorial writers, during the testing and revision of their materials, to monitor how the tutorial impacts team dynamics and to be transparent (in publications and presentations) about how they modified the tutorial to address problematic dynamics they observed.
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    Rethinking the relationship between instructors and physics education researchers
    (American Physical Society, 2020-12-04) Elby, Andrew; Yerdelen-Damar, Sevda
    [This paper is part of the Focused Collection on Curriculum Development: Theory into Design.] In the “standard” physics education research curriculum-development model, researchers are cast primarily as producers of curricula and instructors are cast primarily consumers, i.e., adopters and adapters. We illustrate a complementary model in which researchers’ curricular modules, and also their “pure” research unattached to curriculum development, can serve as instructionally generative fodder that inspires and loosely guides instructors in creating their own curricular materials. Drawing on experiences from our graduate student days, we show how particular curricula and research papers influenced our curriculum development and instruction in particular ways. We then argue that the physics education ecosystem could benefit if researchers were more intentional about creating potential instructionally generative fodder, and we suggest ways to do so. Although not intended to replace the standard curriculum-development model, which has a history of producing effective tutorials and other curricular modules, our alternative model casts the researcher and instructor as co-equal contributors to the research-based yet creative process of curriculum generation.