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.
Promoting Computational Thinking Through Middle School Music Technology
Georgia Tech Research Corporation
Jason Freeman
This project will focus on the following research questions: 1) How can computing education be effectively integrated into music technology courses to increase access and interest across diverse middle school student populations?; and 2) How does the introduction of computational thinking within a middle school music technology class impact the acquisition of computing content knowledge, the formation of interest in computing, attitudes towards computing, and the intent to persist in computing across different student populations?
Designing PD to Foster Mastery and Interest for Integrating CS into Mathematics Classes
Brown University
Kathryn Fisler
This project is studying how students learn CS in integrated contexts and how teachers gain confidence, interest, and skill to teach integrated computing content in the context of integrating CS into Oklahoma's 8th and 9th grade math framework.
Culturally-responsive teaching for positive CS identities among Latinx girls
SANTA CLARA COUNTY OFFICE OF EDUCATION
Craig Blackburn
This project is a research-practice partnership involving the Santa Clara County Office of Education, Krause Center for Innovation at Foothill DeAnza College, San José State University College of Science Center for STEM Education, WestEd, and the Berryessa Union, Milpitas Unified, and Orchard Elementary School Districts. It is supporting 4th and 5th grade teachers to adopt culturally-responsive teaching and studying how this impacts the identities of Latinas as they relate to computational thinking (CT) and computer science (CS).
Counteracting Stereotypes to Boost Girls' Interest and Participation in Computer Science
University of Houston
Allison Master
The goal of this project is to identify and promote critical factors that facilitate the development of girls’ interest in pursuing computer science. This will help broaden girls’ participation in computer science courses, programs, and college majors.
Supporting teacher understanding of emergent CT in early elementary students
New York Hall of Science
Katherine McMillan
The project will field test and conduct research on the artifacts, facilitation strategies and modes of interaction that effectively prepare K-2 teachers to learn about their students’ emergent use of computational thinking strategies. The teachers will collaborate using an online platform for sharing resources, and the project will also study how the online platform can help to reach and support more teachers. The teachers’ learning will be supported by instructional coaches who will help the teachers to integrate computer science into their teaching, and to interpret evidence of their students’ understanding of computational thinking.
Teacher-Driven Development, Implementation, and Assessment of Integrated Computational Thinking in Grades 3-5
University of Massachusetts, Dartmouth
Chandra Orrill
To increase the reach of opportunities to engage grade 3-5 students in CT, this project will develop and implement a professional learning approach that introduces grades 3-5 teachers in three low-income schools to CT, supports their understanding of the math and science they teach, and supports the integration of CT into their instruction.
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.