Michelle Wilkerson
Biographic Data
| ID | 4469018 |
|---|---|
| NAME | Michelle Wilkerson |
| GIVEN NAMES | Michelle |
| FAMILY NAME | Wilkerson |
| SIGNATURE | WILKERSON M |
| AFFILIATIONS | Berkeley School of Education Berkeley California USA |
| ORCID | 0000-0001-8250-068X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 18 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Right but wrong
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
A Call for a Humanistic Stance Toward K–12 Data Science Education
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
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
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
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
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
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
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
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
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
Psychology (4 works) · Epistemology (3 works) · Mathematics education (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Critical Race Theory in Education (2 works) · Innovative Teaching and Learning Methods (2 works) · Pedagogy (2 works) · Political science (2 works)