CoRE Lab

Berkeley School of Education

Author: Michelle

Michelle

  • CoRE Lab at ISLS ’26

    We’ll be presenting tools and findings from a number of our projects at the 2026 Annual Meeting of the International Society for the Learning Sciences! Come check out: Rivulet: A Framework and Tools for Fetching Custom, Pedagogically Generative Scientific Datasets introduces a framework and tools to help curriculum designers and teachers source relevant, pedagogically generative…

  • Jupyter Resources

    Jupyter notebooks are popular computational notebooks that combine computer code, output, and rich text in a single document. They have been widely adopted as a free and open source tool, and form the foundation of contemporary computing environments such as Google Colab and Deepnote. Although originally developed for scientific research, Jupyter notebooks are also increasingly…

  • MoDa: Models + Real-World Data

    MoDa (Modeling + Data) is a science inquiry environment in which students can create computer models using an easy-to-use block-based language, and validate them with real-world data from sensors, videos, or online databases. The project includes a free online environment, lesson plans for teachers, and other support materials for educators and researchers. MoDa is a multi-institutional…

  • Dr. Wei Yan

    Dr. Wei Yan is a postdoctoral researcher specializing in computer science education, data science education, and culturally responsive STEM instruction.

  • Choosy in Teaching Statistics

    Educators are encouraged to teach with “big” datasets, but these are often unwieldy. We illustrate six strategies for making datasets manageable and maintaining alignment with statistical learning goals.

  • Mapping DSEd Lit in HDSR

    A science mapping analysis that identifies three clusters in data science education literature: undergraduate, K-12, and computational approaches for nonmajors.

  • Teaching and Learning with Jupyter

    Although originally developed for scientists to share their work, Jupyter notebooks are becoming a popular method to introduce data-rich science and mathematical investigations to secondary and intro college students. However, development of curriculum using Jupyter has far outpaced basic research in this area. Like other tools of science and mathematics, introducing python/Jupyter notebooks to students…

  • CoRE Lab Presentations at ISLS ’25

    Come check out our work at the 2025 Annual Meeting of the International Society for the Learning Sciences!

  • CoRE @ Euro Congress of Math Ed (CERME-14)

    Michelle was invited to present a plenary discussion at the 14th Congress of the European Society for Research in Mathematics Education (CERME14), hosted by the Free University of Bozen-Bolzano with colleague Rolf Biehler of Paderborn University. Curricular innovation was a theme throughout the conference, and Rolf and Michelle’s talk explored visions of Data Science Education…

  • Teachers & DataViz Discussions in IJSME

    Leading classroom dataviz discussions can be tricky. This paper examines how a dataviz discussion guide can help teachers stay flexible, while meeting specific mathematical and scientific learning goals.