Category: Uncategorized

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…

I collaborated with colleagues in Elementary Education Program (Dr. Krause, Dr. Kim, and Dr. Johnson) at the W&M School of Education to redesign collaborative and social justice-focused undergraduate and graduate methods courses. 

Presentation at  ICLS 2021 (Virtual): Curnow, J., Davidson, S., Jaber, L. Z., Lanouette, K., Southerland, S. A., Vea, T., Bell, P., & Uttamchandani, S. (2021). Emotional Configurations Across Learning Environments. In de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences – ICLS 2021. (pp. 803-810). Bochum,…

I was invited to give a talk on Education Research Methods with the William & Mary Scholars Undergraduate Research Experience (WMSURE), Virginia. To learn more about them, click here.

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…

Presentations at AERA (virtual): Presentations at ICLS (virtual): Lanouette, K., Rivero, E., Barton, J., Bulalacao, N., Lopez, M. L., Cortes, K., Roberto, C., Gutiérrez, K., Wilkerson, M. H., Lee, H., Stokes, D., Finzer, W., Erickson, T., Petrosino, T., & Haldar, L. (2020). Writing data stories: Reauthoring scientific data through syncretic computational investigations in middle school science.…