Low Socio-economic Status Students

Supporting Instructional Decision Making: The Potential of Automatically Scored Three-Dimensional Assessment System (Collaborative Research: Zhai)

This project will study the utility of a machine learning-based assessment system for supporting middle school science teachers in making instructional decisions based on automatically generated student reports (AutoRs). The assessments target three-dimensional (3D) science learning by requiring students to integrate scientific practices, crosscutting concepts, and disciplinary core ideas to make sense of phenomena or solve complex problems.

Lead Organization(s): 
Award Number: 
2101104
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 
This project will study the utility of a machine learning-based assessment system for supporting middle school science teachers in making instructional decisions based on automatically generated student reports (AutoRs). The assessments target three-dimensional (3D) science learning by requiring students to integrate scientific practices, crosscutting concepts, and disciplinary core ideas to make sense of phenomena or solve complex problems. Led by collaborators from University of Georgia, Michigan State University, University of Illinois at Chicago, and WestEd, the project team will develop computer scoring algorithms, a suite of AutoRs, and an array of pedagogical content knowledge supports (PCKSs). These products will assist middle school science teachers in the use of 3D assessments, making informative instructional changes, and improve students’ 3D learning. The project will generate knowledge about teachers’ uses of 3D assessments and examine the potential of automatically scored 3D assessments.
 
The project will achieve the research goals using a mixed-methods design in three phases. Phase I: Develop AutoRs. Machine scoring models for the 3D assessment tasks will be developed using existing data. To support teachers’ interpretation and use of automatic scores, the project team will develop AutoRs and examine how teachers make use of these initial reports. Based on observations and feedback from teachers, AutoRs will be refined using an iterative procedure so that teachers can use them with more efficiency and productivity. Phase II: Develop and test PCKSs. Findings from Phase I, the literature, and interviews with experienced teachers will be employed to develop PCKSs. The project will provide professional learning with teachers on how to use the AutoRs and PCKSs. The project will research how teachers use AutoRs and PCKSs to make instructional decisions. The findings will be used to refine the PCKSs. Phase III: Classroom implementation. In this phase a study will be conducted with a new group of teachers to explore the effectiveness and usability of AutoRs and PCKSs in terms of supporting teachers’ instructional decisions and students’ 3D learning. This project will create knowledge about and formulate a theory of how teachers interpret and attend to students’ performance on 3D assessments, providing critical information on how to support teachers’ responsive instructional decision making. The collaborative team will widely disseminate various products, such as 3D assessment scoring algorithms, AutoRs, PCKSs, and the corresponding professional development programs, and publications to facilitate 3D instruction and learning.

Developing and Researching K-12 Teacher Leaders Enacting Anti-bias Mathematics Education (Collaborative Research: Elliott)

The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program.

Lead Organization(s): 
Award Number: 
2101667
Funding Period: 
Sun, 08/01/2021 to Thu, 07/31/2025
Full Description: 

There is increased recognition that engaging all students in learning mathematics requires an explicit focus on anti-bias mathematics teaching. Teachers, even with positive intentions, have biases, causing them to treat students differently and impacting how they distribute students’ opportunities to learn in K-12 mathematics classrooms. Research is needed to examine models of mathematics teacher professional development that explicitly addresses bias reduction. The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members. The project team will study teacher leader professional development, including the professional development model, framework, and tools, along with what teacher leaders across district contexts and grade-levels take up and use in their instructional practice.  This will potentially have wider implications for supporting more equitable mathematics teaching and leadership. Project activities, resources, and tools will be shared with the broader community of mathematics educators and researchers for use in other contexts.

The goal of this two-phase, design based research project is to iteratively design and research teacher leaders’ (TLs) participation in community-centered, job-embedded professional development and investigate their subsequent impact on classrooms, schools, and districts. The project builds on the existing Math Studio professional development model to create a Community Centered Math Studio, integrating the Anti-bias Mathematics Education Framework into the work. The project seeks to understand how the professional development model supports the development of teacher leaders' knowledge, dispositions, and practices for teaching and leading anti-bias mathematics education, and how teachers' subsequent classroom practice can cultivate students' mathematical engagement, discourse, and interests. The project will measure aspects of teacher knowledge and classroom practice by integrating existing classroom observation rubrics and STEM interest surveys to assess the impact on teacher classroom practice and student outcomes. The project will engage 12 TLs and approximately 60 additional teachers working with those TLs in two years of professional development using the Community Centered Math Studio Model to support anti-bias mathematics teaching. Data will be collected for all teachers related to their participation in the professional learning, with six teachers being followed for additional data collection and in-depth case studies. The project's outcomes will contribute to theories of how TLs build adaptive expertise for teaching and leading to reduce bias in classrooms, departments, schools, and districts. In addition, the project will contribute new and adapted research instruments on anti-bias teaching and leading. The research outcomes will add to the growing research base that describes the nature of equitable mathematics teaching in K-12 classrooms and increases access to meaningful mathematics for students, teachers, and communities.

Developing and Researching K-12 Teacher Leaders Enacting Anti-bias Mathematics Education (Collaborative Research: Yeh)

The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program.

Lead Organization(s): 
Award Number: 
2101666
Funding Period: 
Sun, 08/01/2021 to Thu, 07/31/2025
Full Description: 

There is increased recognition that engaging all students in learning mathematics requires an explicit focus on anti-bias mathematics teaching. Teachers, even with positive intentions, have biases, causing them to treat students differently and impacting how they distribute students’ opportunities to learn in K-12 mathematics classrooms. Research is needed to examine models of mathematics teacher professional development that explicitly addresses bias reduction. The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members. The project team will study teacher leader professional development, including the professional development model, framework, and tools, along with what teacher leaders across district contexts and grade-levels take up and use in their instructional practice.  This will potentially have wider implications for supporting more equitable mathematics teaching and leadership. Project activities, resources, and tools will be shared with the broader community of mathematics educators and researchers for use in other contexts.

The goal of this two-phase, design based research project is to iteratively design and research teacher leaders’ (TLs) participation in community-centered, job-embedded professional development and investigate their subsequent impact on classrooms, schools, and districts. The project builds on the existing Math Studio professional development model to create a Community Centered Math Studio, integrating the Anti-bias Mathematics Education Framework into the work. The project seeks to understand how the professional development model supports the development of teacher leaders' knowledge, dispositions, and practices for teaching and leading anti-bias mathematics education, and how teachers' subsequent classroom practice can cultivate students' mathematical engagement, discourse, and interests. The project will measure aspects of teacher knowledge and classroom practice by integrating existing classroom observation rubrics and STEM interest surveys to assess the impact on teacher classroom practice and student outcomes. The project will engage 12 TLs and approximately 60 additional teachers working with those TLs in two years of professional development using the Community Centered Math Studio Model to support anti-bias mathematics teaching. Data will be collected for all teachers related to their participation in the professional learning, with six teachers being followed for additional data collection and in-depth case studies. The project's outcomes will contribute to theories of how TLs build adaptive expertise for teaching and leading to reduce bias in classrooms, departments, schools, and districts. In addition, the project will contribute new and adapted research instruments on anti-bias teaching and leading. The research outcomes will add to the growing research base that describes the nature of equitable mathematics teaching in K-12 classrooms and increases access to meaningful mathematics for students, teachers, and communities.

The Impact of COVID on American Education in 2021: Continued Evidence from the Understanding America Study

This study will build upon the team's prior research from early in the pandemic. Researchers will continue to collect data from families and aims to understand parents’ perspectives on the educational impacts of COVID-19 by leveraging a nationally representative, longitudinal study, the Understanding America Study (UAS). The study will track educational experiences during the Spring and Summer of 2021 and into the 2021-22 school year.

Award Number: 
2120194
Funding Period: 
Mon, 03/01/2021 to Mon, 02/28/2022
Full Description: 

The COVID-19 epidemic has been a tremendous disruption to the education of U.S. students and their families, and evidence suggests that this disruption has been unequally felt across households by income and race/ethnicity. While other ongoing data collection efforts focus on understanding this disruption from the perspective of students or educators, less is known about the impact of COVID-19 on children’s prek-12 educational experiences as reported by their parents, especially in STEM subjects. This study will build upon the team's prior research from early in the pandemic. Researchers will continue to collect data from families and aims to understand parents’ perspectives on the educational impacts of COVID-19 by leveraging a nationally representative, longitudinal study, the Understanding America Study (UAS). The study will track educational experiences during the spring and summer of 2021 and into the 2021-22 school year. The team will analyze outcomes overall and for key demographic groups of interest as students and teachers return to in-person instruction during 2021. This RAPID project allows critically important data to continue to be collected and contribute to continued understanding of the impacts of and responses to the pandemic by American families.

Since March of 2020, the UAS has been tracking the educational impacts of COVID-19 for a nationally representative sample of approximately 1,400 households with preK-12 children. Early results focused on quantifying the digital divide and documenting the receipt of important educational services--like free meals and special education servicesafter COVID-19 began. This project will support the continued targeted administration of UAS questions to parents about students’ learning experiences and engagement, overall and in STEM subjects, data analysis, and dissemination of results to key stakeholder groups. Findings will be reported overall and across key demographic groups including ethnicity, disability, urbanicity, and socioeconomic status. This project will also produce targeted research briefs addressing pressing policy questions aimed at supporting intervention strategies in states, districts, and schools moving forward. Widespread dissemination will take place through existing networks and in collaboration with other research projects focused on understanding the COVID-19 crisis. All cross-sectional and longitudinal UAS data files will be publicly available shortly after conclusion of administration so that other researchers can explore the correlates of, and outcomes associated with, COVID-19.

Developing a Modeling Orientation to Science: Teaching and Learning Variability and Change in Ecosystems (Collaborative Research: Miller)

This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts.

Lead Organization(s): 
Award Number: 
2010155
Funding Period: 
Tue, 09/01/2020 to Thu, 08/31/2023
Full Description: 

There is an ongoing need to find ways to make science relevant for school students and an increasing need to support student interpretation of large data sets. This project addresses these needs by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts. Students construct and critique models that they and peers invent and, through the lens of models, develop foundational knowledge about the roles of variability and change in ecosystem functioning, as well as the roles of models and argumentation in scientific practice. The context for students' work is a set of citizen science-based investigations of changes in ecosystems in Maine conducted in twelve collaborating classrooms. The project studies how and to what extent students' use of different forms of modeling emerges from and informs how they investigate ecosystems. A parallel research effort investigates how and to what extent the development of teachers' comfort and proficiency with modeling changes students' engagement in these forms of modeling and students' understandings of ecosystems. A key contribution of the project is capitalizing on the Gulf of Maine Research Institutes's Ecosystem Investigation Network's citizen science field research to ground for middle school students the need to invent, revise, and contest models about real ecosystems. The understandings that result from the project's research provide evidence toward first, scaling the learning experiences to the network of 500+ teachers who are part of the Ecosystem Investigation Network, and, second, replication by programs nationally that aim to engage students in data-rich, field-based ecological investigations.

The investigation takes place in twelve collaborating middle-school classrooms, drawn from the network of 500+ Maine teachers trained in Maine's Ecosystem Investigation Network. Over the course of their field investigations, students engage in the construction, critique, and revision of three forms of modeling that play central roles in ecology: microcosms, system dynamics, and data modeling. Two innovations are introduced over the course of the project. The first is focused on enriching classroom supports for engaging in multiple forms of modeling. The second involves enhancing middle school teachers' learning about modeling, especially in the context of large data citizen science investigations. The study uses a mixed methods approach to explore the impact of the innovations on the experiences and understandings of both teachers and students. Instruments include teacher interviews and questionnaires, student interviews, and classroom observation. The understandings that result from the project's research will inform the design of professional development for teachers around data analysis and interpretation, and around how student understanding of modeling develops with sustained support, both of which are practices at the heart of scientific literacy.

Developing a Modeling Orientation to Science: Teaching and Learning Variability and Change in Ecosystems (Collaborative Research: Lehrer)

This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts.

Lead Organization(s): 
Award Number: 
2010207
Funding Period: 
Tue, 09/01/2020 to Thu, 08/31/2023
Full Description: 

There is an ongoing need to find ways to make science relevant for school students and an increasing need to support student interpretation of large data sets. This project addresses these needs by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts. Students construct and critique models that they and peers invent and, through the lens of models, develop foundational knowledge about the roles of variability and change in ecosystem functioning, as well as the roles of models and argumentation in scientific practice. The context for students' work is a set of citizen science-based investigations of changes in ecosystems in Maine conducted in twelve collaborating classrooms. The project studies how and to what extent students' use of different forms of modeling emerges from and informs how they investigate ecosystems. A parallel research effort investigates how and to what extent the development of teachers' comfort and proficiency with modeling changes students' engagement in these forms of modeling and students' understandings of ecosystems. A key contribution of the project is capitalizing on the Gulf of Maine Research Institutes's Ecosystem Investigation Network's citizen science field research to ground for middle school students the need to invent, revise, and contest models about real ecosystems. The understandings that result from the project's research provide evidence toward first, scaling the learning experiences to the network of 500+ teachers who are part of the Ecosystem Investigation Network, and, second, replication by programs nationally that aim to engage students in data-rich, field-based ecological investigations.

The investigation takes place in twelve collaborating middle-school classrooms, drawn from the network of 500+ Maine teachers trained in Maine's Ecosystem Investigation Network. Over the course of their field investigations, students engage in the construction, critique, and revision of three forms of modeling that play central roles in ecology: microcosms, system dynamics, and data modeling. Two innovations are introduced over the course of the project. The first is focused on enriching classroom supports for engaging in multiple forms of modeling. The second involves enhancing middle school teachers' learning about modeling, especially in the context of large data citizen science investigations. The study uses a mixed methods approach to explore the impact of the innovations on the experiences and understandings of both teachers and students. Instruments include teacher interviews and questionnaires, student interviews, and classroom observation. The understandings that result from the project's research will inform the design of professional development for teachers around data analysis and interpretation, and around how student understanding of modeling develops with sustained support, both of which are practices at the heart of scientific literacy.

Developing a Modeling Orientation to Science: Teaching and Learning Variability and Change in Ecosystems (Collaborative Research: Peake)

This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts.

Partner Organization(s): 
Award Number: 
2010119
Funding Period: 
Tue, 09/01/2020 to Thu, 08/31/2023
Full Description: 

There is an ongoing need to find ways to make science relevant for school students and an increasing need to support student interpretation of large data sets. This project addresses these needs by leveraging citizen science data about ecology and developing instruction to support student analyses of these data. This collaboration between Gulf of Maine Research Institute, Bowdoin College and Vanderbilt University engages middle-school students in building and revising models of variability and change in ecosystems and studies the learning and instruction in these classroom contexts. Students construct and critique models that they and peers invent and, through the lens of models, develop foundational knowledge about the roles of variability and change in ecosystem functioning, as well as the roles of models and argumentation in scientific practice. The context for students' work is a set of citizen science-based investigations of changes in ecosystems in Maine conducted in twelve collaborating classrooms. The project studies how and to what extent students' use of different forms of modeling emerges from and informs how they investigate ecosystems. A parallel research effort investigates how and to what extent the development of teachers' comfort and proficiency with modeling changes students' engagement in these forms of modeling and students' understandings of ecosystems. A key contribution of the project is capitalizing on the Gulf of Maine Research Institutes's Ecosystem Investigation Network's citizen science field research to ground for middle school students the need to invent, revise, and contest models about real ecosystems. The understandings that result from the project's research provide evidence toward first, scaling the learning experiences to the network of 500+ teachers who are part of the Ecosystem Investigation Network, and, second, replication by programs nationally that aim to engage students in data-rich, field-based ecological investigations.

The investigation takes place in twelve collaborating middle-school classrooms, drawn from the network of 500+ Maine teachers trained in Maine's Ecosystem Investigation Network. Over the course of their field investigations, students engage in the construction, critique, and revision of three forms of modeling that play central roles in ecology: microcosms, system dynamics, and data modeling. Two innovations are introduced over the course of the project. The first is focused on enriching classroom supports for engaging in multiple forms of modeling. The second involves enhancing middle school teachers' learning about modeling, especially in the context of large data citizen science investigations. The study uses a mixed methods approach to explore the impact of the innovations on the experiences and understandings of both teachers and students. Instruments include teacher interviews and questionnaires, student interviews, and classroom observation. The understandings that result from the project's research will inform the design of professional development for teachers around data analysis and interpretation, and around how student understanding of modeling develops with sustained support, both of which are practices at the heart of scientific literacy.

Incorporating Professional Science Writing into High School STEM Research Projects

The goal of this project is to expand high school student participation in the peer-review process and in publishing in JEI, a science journal dedicated to mentoring pre-college students through peer-reviewed publication. By publishing pre-college research in an open access website, the project will build understanding of how engaging in these activities can change high school students' perceptions and practices of scientific inquiry.

Lead Organization(s): 
Award Number: 
2010333
Funding Period: 
Wed, 07/15/2020 to Fri, 06/30/2023
Project Evaluator: 
Maya Patel
Full Description: 

This exploratory project addresses important challenge of incorporating disciplinary literacy practices in scientific inquiry projects of high school students. The project will incorporate the peer-review process and publication in the Journal of Emerging Investigators (JEI). The Next Generation Science Standards emphasize constructs from disciplinary literacy such as engaging in argument from evidence, and evaluating and communicating information. However, there are few resources available to students and teachers that integrate these constructs in authentic forms that reflect the practices of professional scientists. High school student learners engage in scientific inquiry, but rarely participate in authentic forms of communication, forms that are reflective of how scientists communicate and participate in the primary literature of their fields. The project has three aims: 1) Generate knowledge of the impact of peer-review and publication on perceptions and skills of scientific inquiry and STEM identity, 2) Generate knowledge of how participation in peer-review and publication are impacted by contextual factors (differences in mentors and research contexts), and 3) Develop JEI field-guides across a range of contexts in which students conduct their research.

The goal of the project is to expand high school student participation in the peer-review process and in publishing in JEI, a science journal dedicated to mentoring pre-college students through peer-reviewed publication. By publishing pre-college research in an open access website, the project will build understanding of how engaging in these activities can change high school students' perceptions and practices of scientific inquiry. The project will investigate how participation in peer-reviewed publications will have an impact on student learning by administering a set of pre- and post-surveys to students who submit a paper to JEI. The project will expand student participation in JEI via outreach to teachers in under-resourced and remote areas by delivering virtual and in-person workshops which will serve to demystify peer review and publication, and explore ways to integrate these processes into existing inquiry projects. Other efforts will focus on understanding how student contextual experiences can impact their learning of scientific inquiry. These student experiences include the location of the project (school, home, university lab), the type of mentor they have, and how they became motivated to pursue publication of their research. The project will recruit students from under-resourced schools in New York through a collaboration with MathForAmerica and from rural areas through outreach with STEM coordinators in the Midwest. The resources created will be disseminated directly on the JEI website.

Creating a Model for Sustainable Ambitious Mathematics Programs in High-Need Settings: A Researcher-Practitioner Collaboration

This project will study a successful, ambitious mathematics reform effort in high-needs secondary schools. The goal is to develop resources and tools to support other high-needs schools and districts in transforming and sustaining  their mathematics programs. The model focuses on the resources required for change and the aspects of the organization that support or constrain change in mathematics teaching and learning.

Lead Organization(s): 
Award Number: 
2010111
Funding Period: 
Sat, 08/01/2020 to Wed, 07/31/2024
Full Description: 

A long-standing challenge in secondary mathematics education is broadening participation in STEM. Reform of schools and districts to support this goal can be challenging to sustain. This implementation and improvement project will study a successful, ambitious mathematics reform effort in high-needs secondary schools. The goal is to develop resources and tools to support other high-needs schools and districts in transforming and sustaining  their mathematics programs. The model focuses on the resources required for change and the aspects of the organization that support or constrain change in mathematics teaching and learning. The project team includes school district partners that have successfully transformed mathematics teaching to better support students' learning.

The project will develop a model for understanding the demands and resources from an organizational perspective that support ambitious mathematics teaching and learning reforms. Demands are requirements for physical resources or efforts that need to be met in the instructional system. Resources are the material, human, instructional, and organizational requirements needed to address demands. The project will develop the model through a collaboration of researchers, professional development leaders, students, teachers, coaches, and administrators to: (1) understand the demands created throughout a school or district when implementing an ambitious secondary mathematics program in a high-need context; (2) identify the resources and organizational dynamics necessary to address the demands and thus sustain the program; and (3) articulate a model for a sustainable ambitious secondary mathematics program in high-need settings that has validity across a range of implementation contexts. To develop the model over multiple iterations, the project will examine the demands and resources related to implementing an ambitious mathematics program, the perspectives of stakeholders, the organizational structure, and the program goals and implementation. The project will also conduct a systematic literature review to bring together findings from the successful district and other research findings. The data collection and analysis process will include interviews, document analysis, collection of artifacts, and observations across four phases of the project.  Participants will include students, teachers, instructional support personnel, and administrators (from schools and the district).

Reaching Across the Hallway: An Interdisciplinary Approach to Teaching Computer Science in Rural Schools

This project will develop, test, and refine a "train-the-trainer" professional development model for rural teacher-leaders. The project goal is to design and develop a professional development model that supports teachers integrating culturally relevant computer science skills and practices into their middle school social studies classrooms, thereby broadening rural students' participation in computer science.

Lead Organization(s): 
Award Number: 
2010256
Funding Period: 
Wed, 07/01/2020 to Sun, 06/30/2024
Full Description: 

Strengthening computer science (CS) and computational thinking (CT) education is a national priority with particular attention to increasing the number of teachers prepared to deliver computer science courses. For rural schools, that collectively serve more than 10 million students, it is especially challenging. Rural schools find it difficult to recruit and retain STEM teachers that are prepared to teach computer science and computational thinking. This project will develop, test, and refine a "train-the-trainer" professional development model for rural teacher-leaders. The project will build teachers' self-efficacy to deliver computer science concepts and practices into middle school social studies classrooms. The project is led by CodeVA (a statewide non-profit in Virginia), in partnership with TERC (a STEM-focused national research institution) and the University of South Florida College of Education, and in collaboration with six rural school districts in Virginia. The project goal is to design and develop a professional development model that supports teachers integrating culturally relevant computer science skills and practices into their middle school social studies classrooms, thereby broadening rural students' participation in computer science. The professional development model will be designed and developed around meeting rural teachers, where they are, geographically, economically, and culturally. The model will also be sustainable and will work within the resource constraints of the rural school district. The model will also be built on strategies that will broadly spread CS education while building rural capacity.

The project will use a mixed-methods research approach to understand the model's potential to build capacity for teaching CS in rural schools. The research design is broken down into four distinct phases; planning/development prototyping, piloting and initial dissemination, an efficacy study, and analysis, and dissemination. The project will recruit 45 teacher-leaders and one district-level instructional coach, 6th and 7th-grade teachers, and serve over 1900 6th and 7th-grade students. Participants will be recruited from the rural Virginia school districts of Buchanan, Russell, Charlotte, Halifax, and Northampton. The research question for phase 1 is what is each district's existing practice around computer science education (if any) and social studies education? Phases 2, 3 and 4 research will examine the effectiveness of professional development on teacher leadership and the CS curricular integration. Phase 4 research will examine teacher efficacy to implement the professional development independently, enabling district teachers to integrate CS into their social studies classes. Teacher data sources for each phase include interviews with administrators and teachers, teacher readiness surveys, observations, an examination of artifacts, and CS/CT content interviews. Student data will consist of classroom observation and student attitude surveys. Quantitative and qualitative data will be triangulated to address each set of research questions and provide a reliability check on findings. Qualitative data, such as observations/video, and interview data will be analyzed through codes that represent expected themes and patterns related to teachers' and coaches' experiences. Project results will be communicated through presentations at conferences such as Special Interest Group on Computer Science Education, the Computer Science Teachers Association (CSTA), the National Council for Social Studies (NCSS), and the American Educational Research Association. Lesson plans will be made available on the project website, and links will be provided through publications and newsletters such as the NCSS Middle-Level Learner, NCSS Social Education, CSTA the Voice, the NSF-funded CADREK12 website and the NSF-funded STEM Video Showcase.

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