2021 COMMITMENTS DIRECTORY

IBM commits to offering all of our data science and related topics coursework for students and educators on our Open P-TECH/IBM SkillsBuild for Students platform free on the Data Science for Everyone marketing pages and related collateral by June 1st, 2021.

The Invigorating Statistics and Data Science Teaching Through Professional Learning [InSTEP] project commits to provide high quality online professional learning experiences in the teaching and learning of statistics and data science for (primarily) mathematics teachers in grades 6-12 through personalizing teachers’ learning options, starting March 2022.

Just Equations commits to:
1) Conducting and disseminating policy analysis related to graduation requirements, K12 standards, college admissions requirements, and other policies relevant to adoption of and equitable access to K-12 data science pathways on an ongoing basis.
2) Engaging state and national policymakers, education leaders, associations, commissions, and equity advocates by hosting and participating in webinars and events to increase awareness of K-12 data science pathway opportunities and support for implementing them in equitable ways as an ongoing effort.

The Intro to Data Sciences classes at King Chavez Community High School commit to embarking on a data science exploration where students will ask questions, collect data, analyze findings, and communicate them by June 2022.

Learning Science Weekly commits to supporting DSE through newsletters, podcasts, and social media posts by December 31, 2021.

MMSA commits to:
1) Curating a set of age-appropriate resources to guide students conducting data science projects for the science fair by November 15, 2021.
2) Creating materials and professional learning opportunities for grades 3-8 teachers to integrate computational thinking, specifically computational data analysis, with our existing student-driven, citizen science platform, Weatherblur throughout the 2021-2022 school year.

MassMutual is a founding company of Massachusetts Institute of Technology’s (MIT) Future of Data, Trust, and Privacy initiative (FOD). The goal of this initiative is to shape data use through appropriate governance. This action will combine the resources of MIT and the founding companies to influence policy change and continue to ignite the conversation around data and proper data privacy and purpose.

IEEE Industry Consortium on Learning Engineering (ICICLE) commits to define data science competencies in a learning engineering competency framework by the end of 2021.

The Indiana Department of Education commits to exploring appropriate areas for the inclusion of data science into K-12 computer science pathways, mathematics pathways, and/or other academic pathways by summer 2022.

Katabasis, Inc. commits to do the participatory design of two game-based learning environments with a heavy focus on data literacy with over 100 low SES students in rural NC by August 2022.

KungFu Math commits to input 10 questions from the domain of data science for grades 1 to 6 into kungfu-math.com’s question bank monthly for at least the next 12 months to be made available for practice for its users.

Linked Learning Alliance commits to introducing data science to the Linked Learning field, identifying 3-5 Linked Learning districts in California interested in getting cross-disciplinary teams of pathway teachers trained in data science, and collaborating with these districts to integrate data science courses into the pathway program of study and interdisciplinary project-based learning by June 30, 2023. We hope specifically to impact low-income students, students of color, special education students, English language learners, and foster youth.

Marti, the K-12 data literacy tool, commits to accelerating its impact in disadvantaged areas with the aim of increasing access to an easy-to-learn and code environment that can encourage students to discuss SDG topics in a data-driven way.

Mathigon commits to developing an interactive and personalised data science course for middle-school students by October 2021.

Illustrative Mathematics commits to developing a high school data science course, intended as an alternative to Algebra II, by July 2023. This commitment is contingent on funding and the course would serve as a key component of an alternative pathway in high school mathematics preparing students for data-rich careers outside the usual STEM fields.

JUMP Math commits to produce, by 2024, 20 fully digital lessons on data literacy (5 lessons per grade from grades 4 to 8) on collecting, representing, interpreting, and communicating data. We will also produce professional development to go with the lessons. The PD would cover the importance of data literacy, basic concepts in data literacy, cross curricular activities that complement the digital lessons and information about sites (like the Citizen Scientist Platform, iNaturalist and Social Explorer) that support data literacy.

Khan Lab School commits to offer a data science course, and pilot innovative approaches to curriculum design.

The Learning Innovation and Technology Lab at Harvard GSE commits to making data science more engaging, meaningful and approachable to anyone by facilitating project-based learning through multimodal data collection.

The MATHCOUNTS Foundation commits to increasing the number of resources supporting data science skills development by the end of 2022, including weekly math problems, mini lessons focusing on data science skills or a math club activity that centers on data science.

Maryland State Department of Education commits to making an online Data Science course available to all Maryland High School students by the 2022-2023 school year.