The RPPforCS project connects the teams through virtual meetings (webinars), in-person meetings, and meetings of the R-EWG. Here you will find information about the participating grant teams, project activities, and resources from the project.
Searchable RPP Database and Maps
This database allows you to search through our existing community of projects on a range of characteristics. You can use this resource to find people who are geographically close to you, working on a similar problem of practice, working with a similar student or teacher population, and more!
The first map of the embedded “RPPforCS Projects Map”, "Projects by Research Team" shows the dispersion of project PIs across the country. The second map, "Projects by Implementation Location" demonstrates the distribution of projects by the proposed state of implementation. The “RPPforCS District Maps” insert provides a map of US school districts within which one or more NSF: CSforAll RPPs are operating, as well as tables of demographic data for these districts. All of these maps have a set of demographic data associated with projects and/or locations that can be filtered upon.
At this time these features are only available for viewing on your desktop. Sorry for any inconvenience!
RPP Project Database
The RPPforCS searchable database allows you to search through our existing community of projects on a range of characteristics. You can use this resource to find people who are geographically close to you, working on a similar problem of practice, working with a similar student or teacher population, and more! The database will automatically update itself with your chosen filters shortly after selecting them.
If you are looking for potential BPC partners, then you may find the following filters the most useful:
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The “District Population” filters allow you to search for projects by the populations of the districts that they are known to be operating in. Note that these are not necessarily the target population, but may provide insight into the environment that a project is operating in.
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The “Urban/Rural Class” filter allows you to search for projects by the US Census designation of projects’ district partners.
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The “Keywords” filter allows you to search for projects by key areas of focus, such as pathways programs or PD delivery.
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The “State of Implementation” filter allows you to search for projects by state. Only states with at least one project are listed.
PACE2
Massachusetts Institute of Technology
Justin Reich
Massachusetts Institute of Technology (MIT) proposes Pathways for Advancing Computing Education (PACE2), a researcher-practitioner partnership (RPP) facilitated by the MIT Teaching Systems Lab (TSL), CSforMA, and consortium of 12 diverse school districts across the Commonwealth of Massachusetts. PACE2 participants share the common goal of broadening participation in computing for underserved groups in computer science (CS) in Massachusetts: females, Black and Hispanic/Latinx, low-income students, English learner students and students with disabilities.
CTCS
Cornell University
Diane Levitt
This partnership between Cornell University, New York University, The New York City Department of Education’s CSforALL unit, and a New York public elementary school aims to address the issue of marrying computing and core disciplines in a way that will do justice to all subjects and meet the needs of all teachers and learners by integrating computational thinking into English Language Arts and math classes. This project builds on a three-year pilot that demonstrated promise in this approach to build confidence in computer science for both the teachers and the students they serve.
Drawing on Kinship
Digital Promise Global
Emi Iwatani
This Research Practitioner Partnership between Digital Promise Global, Floyd County Schools, and Pikeville Independent School District builds on prior work to create a rurally sustaining computational thinking (CT) pathway that benefits students and the broader community. The project team will use a design-based research approach to support small teams of teacher-leaders in two Eastern KY districts of Floyd and Pikeville to create, implement, study and refine CT lessons that are connected to their local cultural heritage of problem solving.
PECSI
Temple University
Jamie Payton
This project engages Temple University’s College of Science and Technology and the Montgomery County Intermediate Unit to develop and implement an integrated, scalable educational program to build capacity for equitable computer science (CS) instruction in secondary schools. Building on a history of collaborative development of professional development programs to improve STEM teaching, the partners have established relations and trust as well as extensive and comprehensive reach with respect to recruiting, engaging, and supporting practitioners (teachers, principals, district administrations, and students).
CAFECS
The Learning Partnership; DePaul University
Steven McGee
The Learning Partnership, DePaul University, and Chicago Public Schools (CPS) will collaborate to increase access to and success in AP Computer Science Principles (AP CSP), for African American and Hispanic students, who are traditionally underrepresented in computer science and specifically in AP computer science courses. The project will provide systems of support to address the challenges inherent in preparing all students and teachers for success in AP CSP and ensure the course is taught using culturally responsive pedagogy.
CS4NorthCal
San Francisco State University
Hao Yue
San Francisco State University, WestEd, and 20+ school districts will collaborate and launch CS4NorthCal to address 2 major challenges in high school computer science (CS) education: (1) a lack of student access to rigorous CS instruction and (2) a lack of gender, ethnic, disability, and racial diversity in high school CS courses. By scaling an effective model for preparation, professional development (PD), and ongoing support for high school CS teachers to improve their CS content knowledge and pedagogical skills, this project will increase rigorous and engaging CS course offerings to all high school students.
RPPforCS Project Maps
The first tab, "Projects by Research Team" shows the dispersion of NSF: CSforAll RPPs across the country. By toggling the filters on the right-hand side of the map you can filter the view by which Grade Band a project is targeting as well as the type of curriculum that the projects will be using. Note that points are staggered to allow overlapping projects to be visible.
The second tab, "Impact Area" demonstrates the distribution of NSF: CSforAll RPPs by the proposed state of implementation. As with the first map you can filter down by Grade Band and Curriculum Used. Mousing over or clicking on a state will display all grade bands being targeted by RPPs in that state, all curricula being used by RPPs in that state, and a list of all projects operating in that state.
RPPforCS District Maps
This set of maps details the districts that NSF: CSforAll RPPs are known to be partnered with and the overall demographics of students in those districts. These demographics do not necessarily represent the specific student subgroups (if any) being targeted by NSF: CSforAll RPPs, however. It should also be noted that projects will frequently only work directly with a subset of schools within a district, and a project's presence in a district on this map does not imply that they are working with every school in a given district.
All of these tabs can be filtered by searching for a project's name, by state, or by districts' urban/rural status as defined by the US Census.
The first tab "RPPforCS Continental District Map" displays all known public school districts partnered with one or more NSF: CSforAll RPPs.
The second and third tabs "District Race/Ethnicity Demographics vs. State Demographics" and "District Race/Ethnicity Demographics vs. National Demographics" provide details for each RPP-partnered school district's student demographics compared to their state or national student demographics, respectively. They also provide information on which projects are operating in each district. The "Examine by" drop-down menu in the top right of each tab can be used to select what demographic group to display data for.
The last tab "Other Demographic Information" shows district-level student data for the percentage of students eligible for free/reduced lunch as well as the percentage of those who are English as a second language/limited English proficiency students. Any blank rows indicate that there is currently no data for a given district.