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:
-
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.
-
The “Urban/Rural Class” filter allows you to search for projects by the US Census designation of projects’ district partners.
-
The “Keywords” filter allows you to search for projects by key areas of focus, such as pathways programs or PD delivery.
-
The “State of Implementation” filter allows you to search for projects by state. Only states with at least one project are listed.
Fostering Virtual Learning of Data Science Foundations with Mathematical Logic for Rural High School Students
Texas Tech University; University of Florida
Yuanlin Zhang
The project addresses a major educational barrier, namely that rural students are less likely to choose a major in STEM and have far less access to advanced STEM courses taught by highly qualified teachers. The LogicDS curriculum and virtual delivery are expected to relieve the resource constraints significantly and thus reach rural students.
Teaching Computational Thinking to Prekindergarten Students in Underrepresented Communities
Rand Corporation
Christopher Doss
To address barriers to access in CS that underrepresented students face, the National Head Start Association (NHSA), codeSpark, a content creation company, and the RAND Corporation are creating one of the first computational thinking curricula for underrepresented populations in prekindergarten that teachers can directly apply in classrooms. This project is based on research that shows barriers to entry into computer science are complex, involving the home, school, and larger society.
Development of a culturally relevant pedagogical framework for CS and CT in high schools
Kutztown University
Georgeos Sirrakos
This project will develop and measure the efficacy of a Culturally Relevant Pedagogical Framework for Computer Science and Computational Thinking (CRPF-CSCT). Students from groups underrepresented in computer science (CS) will provide input and participate in developing the framework. The development team will consist of six students, six high school teachers (CS and non-CS), and five research team members.
Advancing Research and Practice in Culturally-Relevant Computing in Upper Elementary Education
University of Hawaii
Daniel Hoffman
This project is motivated by the need to prepare elementary teachers to effectively integrate Computer Science (CS) education into their teaching. To address this need, this project will provide professional development focused on culturally-relevant computing. This project's basis is that a sustained culturally-relevant computing professional development program will be an effective way to prepare educators to reliably produce valued CS and culture-based outcomes.
Towards Culturally Responsive and Computationally Rich Problem Based Learning for K-5 Students
Northern Arizona University
Morgan Vigil-Hayes
This project is focused on developing culturally relevant pedagogy and problem-based learning for Native American students in computer science. The project would create an innovative activity focused on equity in Internet access and how the Internet works so students can learn about computer science in a meaningful context. The project will use a citizen science approach to engaging students in tasks that are important to their local communities.
Designing a residency-based CS teacher preparation program with a high school community
SUNY at Buffalo
Christopher Proctor
Through a process of design-based implementation research, stakeholders from the SUNY Buffalo and the high school in Lockport City School District will design a pre-service CS teacher residency partnership and will also design the school's CS curricular pathways. In order to support community members in empowered, informed participation, a group of students will learn CS in a youth bootstrapping course, followed by a bootstrapping course for the community co-taught by youth from the first course.
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.