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Michelle Wilkerson

Datos Biográficos

ID4469018
NOMBREMichelle Wilkerson
NOMBRESMichelle
APELLIDOWilkerson
FIRMAWILKERSON M
AFILIACIONESBerkeley School of Education Berkeley California USA
ORCID0000-0001-8250-068X
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS18
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H2
  • Right but wrong

    Open Access•Tamar Fuhrmann, Leah Rosenbaum et al.•ARTICLE•Science Education•2025•Referencias: 49

    When learning about scientific phenomena, students are expected to mechanistically explain how underlying interactions produce the observable phenomenon and conceptually connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing and refining computational models using real‐world data can support students in developing mechanistic and canonically accura…

  • Designing Professional Learning to Support District and School Administrators of Color

    Open Access•Travis J Bristol, Rebecca Cheung et al.•ARTICLE•The Urban Review•2025•Referencias: 1

  • A Call for a Humanistic Stance Toward K–12 Data Science Education

    Open Access•Victor R Lee, Michelle Wilkerson et al.•ARTICLE•Educational Researcher•2021•Citada por: 8•Referencias: 48

    There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concern…

  • Stories from the field

    Michelle Wilkerson, Cynthia M D'Angelo et al.•ARTICLE•Interactive Learning Environments•2020

    There is considerable debate and ambiguity around what constitutes “computational thinking” (CT). In contrast to Computer Science which is generally treated as a distinct field of study, CT as a construct highlights the integral relationship between computing and other fields. Many recent efforts seek to map computational thinking by making high-level connections to other school disciplines. We argue that while these efforts may help identify spe…

  • Empowerment and transformation

    Theodore Quan, Christian A Bracho et al.•ARTICLE•The Review of Education Pedagogy…•2019•Citada por: 10•Referencias: 20

    Teachers in the United States receive conflicting messages about who they can and should be in and outside of the classroom. Recently, Time Magazine portrayed teachers as gloomy and underpaid educa

  • Empowerment and transformation

    Theodore Quan, Christian A Bracho et al.•ARTICLE•The Review of Education Pedagogy…•2019•Citada por: 10•Referencias: 20

    Teachers in the United States receive conflicting messages about who they can and should be in and outside of the classroom. Recently, Time Magazine portrayed teachers as gloomy and underpaid educa

  • A Call for a Humanistic Stance Toward K–12 Data Science Education

    Open Access•Victor R Lee, Michelle Wilkerson et al.•ARTICLE•Educational Researcher•2021•Citada por: 8•Referencias: 48

    There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concern…

  • Empowerment and transformation

    Theodore Quan, Christian A Bracho et al.•ARTICLE•The Review of Education Pedagogy…•2019•Citada por: 10•Referencias: 20

    Teachers in the United States receive conflicting messages about who they can and should be in and outside of the classroom. Recently, Time Magazine portrayed teachers as gloomy and underpaid educa

  • Stories from the field

    Michelle Wilkerson, Cynthia M D'Angelo et al.•ARTICLE•Interactive Learning Environments•2020

    There is considerable debate and ambiguity around what constitutes “computational thinking” (CT). In contrast to Computer Science which is generally treated as a distinct field of study, CT as a construct highlights the integral relationship between computing and other fields. Many recent efforts seek to map computational thinking by making high-level connections to other school disciplines. We argue that while these efforts may help identify spe…

  • A Call for a Humanistic Stance Toward K–12 Data Science Education

    Open Access•Victor R Lee, Michelle Wilkerson et al.•ARTICLE•Educational Researcher•2021•Citada por: 8•Referencias: 48

    There is growing interest in how to better prepare K–12 students to work with data. In this article, we assert that these discussions of teaching and learning must attend to the human dimensions of data work. Specifically, we draw from several established lines of research to argue that practices involving the creation and manipulation of data are shaped by a combination of personal experiences, cultural tools and practices, and political concern…

  • Right but wrong

    Open Access•Tamar Fuhrmann, Leah Rosenbaum et al.•ARTICLE•Science Education•2025•Referencias: 49

    When learning about scientific phenomena, students are expected to mechanistically explain how underlying interactions produce the observable phenomenon and conceptually connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing and refining computational models using real‐world data can support students in developing mechanistic and canonically accura…

  • Designing Professional Learning to Support District and School Administrators of Color

    Open Access•Travis J Bristol, Rebecca Cheung et al.•ARTICLE•The Urban Review•2025•Referencias: 1

Psychology (4 obras) · Epistemology (3 obras) · Mathematics education (3 obras) · Sociology (3 obras) · Artificial Intelligence (2 obras) · Computer Science (2 obras) · Critical Race Theory in Education (2 obras) · Innovative Teaching and Learning Methods (2 obras) · Pedagogy (2 obras) · Political science (2 obras)

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