Projects

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.

The Inter-university Consortium for Political and Social Research (ICPSR) will host a workshop that brings together NSF-funded teams working on midscale research infrastructure incubator projects for STEM education research with a focus on education equity. ICPSR will share information, resources, and support incubator teams in developing and managing mid-scale infrastructure projects. These incubator projects have identified research infrastructure gaps related to assessments, teacher practices, and digital tools to support student learning and have proposed pilot tools, cyberinfrastructure, large-scale datasets, etc., for filling these gaps. To scale these pilots, the teams will need to successfully develop proposals to create mid-scale research infrastructure (Midscale RI). However, Midscale RI proposals require specialized knowledge that is not common within the STEM education research community and thus may limit the community’s ability to develop competitive Midscale RI proposals.

This project will provide rural STEM middle school teachers and career counselors professional development and the support needed to collaborate with each other and local community assets in designing, integrating, and implementing effective STEM content and career development activities. Local teams will co-develop project-based learning units that incorporate a place-based education perspective involving STEM assets, careers, and stakeholders from the local communities for middle school rural youth that intentionally infuse STEM careers in their area with STEM content.

This project will (1) develop and test a modeling tool and accompanying instructional materials, (2) explore how to support students in building and using models to explain and predict phenomena across a range of disciplines, and (3) document the sophistication of understanding of disciplinary core ideas that students develop when building and using models in grades 6-12. 

In this project, the research team will create a computer-mediated design environment that enables students in grades 7-10 to collaboratively explore, make connections, generate, and evaluate design ideas that address environmental science challenges. A unique feature of the project is its use of an artificial intelligent (AI) design mentor that relies on Design Heuristics, a research-based creativity tool that guides students through exploration of ideas and “learns” from students’ design processes to better assist them. The project will examine students’ perceptions of science and engineering, their ability to integrate academic and personal or community knowledge, their confidence for engaging in engineering, and their design thinking.

This project explores how to help teachers identify and support early elementary children’s emergent computational thinking. The project will engage researchers, professional development providers, and early elementary teachers (K-2) in a collaborative research and development process to design a scalable professional development experience for grade K-2 teachers. 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.

This project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. Students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses.

SciMath-DLL is an innovative preschool professional development (PD) model that integrates supports for dual language learners (DLLs) with high quality science and mathematics instructional offerings. It engages teachers with workshops, classroom-based coaching, and professional learning communities. Based on initial evidence of promise, the SciMath-DLL project will expand PD offerings to include web-based materials.

The goal of the grant is to establish a culture of inquiry with all partners in order to develop interdiciplinary, authentic STEM learning environments. Design-based research provides iterative cycles of implementation to explore and refine the approach as a transformative model for STEM programs. The model supports a sustainable approach by building the capacity of schools to focus on design issues related to content, pedagogy, and leadership.

This project will help teachers design and facilitate high-quality, real world STEM experiences for students, as teachers move from traditional approaches to organizing their teaching around interdisciplinary questions or problems. The project will work with building administrators to make the structural changes needed for interdisciplinary STEM instruction.

The project is a four-year, early-stage design and development project aimed to refine a state-of-the-art professional development model to prepare K-8 teachers and instructional leaders in urban schools to facilitate and support successful K-8 STEM Education. The project will specifically explore which components of the program promote teacher change, which aspects of the program support structural changes for STEM teaching in schools, and what holds promise for interdisciplinary STEM teacher development.

Cybersecurity is becoming an increased concern among young technology users; however, elementary school teachers often have limited preparation to teach students about cybersecurity. This project is designed to iteratively develop, refine, and test an innovative professional development program that supports teachers to infuse cybersecurity into 4th-5th grade mathematics and science instruction. The project will synergistically merge cybersecurity with mathematics and science content in authentic, real-world contexts to teach topics such as cyberbullying, digital security, encryption/decryption, digital privacy, and digital footprint.

This project directly addresses middle school teachers' understanding, practice, and teaching of modern scientific practice. Using the Project GUTS program and professional development model as a foundation, this project will design and develop a set of Resources, Models, and Tools (RMTs) that collectively form the basis for a comprehensive professional development (PD) program, then study teachers' experiences with the RMTs and assess how well the RMTs prepared teachers to implement the curriculum.

This project will develop and study approaches to equip 4th and 5th grade general and special education teachers to teach computer science (CS) to a broad range of learners with disabilities through professional development. The project will aim to improve accessibility, accommodations, and highlight the role of paraeducators to increase participation and learning in CS for students with disabilities, and it will investigate the impact of the professional development on teachers’ instruction and the influence of the professional development model on student learning, ability beliefs, and attitudes about CS.

This project will develop and study approaches to equip 4th and 5th grade general and special education teachers to teach computer science (CS) to a broad range of learners with disabilities through professional development. The project will aim to improve accessibility, accommodations, and highlight the role of paraeducators to increase participation and learning in CS for students with disabilities, and it will investigate the impact of the professional development on teachers’ instruction and the influence of the professional development model on student learning, ability beliefs, and attitudes about CS.

This project will develop curricula for environmental/geoscience disciplines for high-school classrooms. The Model My Watershed (MMW) v2 app will bring new environmental datasets and geospatial capabilities into the classroom, to provide a cloud-based learning and analysis platform accessible from a web browser on any computer or mobile device, thus overcoming the cost and technical obstacles to integrating Geographic Information System technology in secondary education.

Using design-based research, with teachers as design partners, the project will create and refine project-based, hands-on robotics curricula such that science and math content inherent in robotics and related engineering design practices are learned. To provide teachers with effective models to capitalize on robotics for elucidating science and math concepts, a design-based Professional Development program will be built using principles of technological, pedagogical, and content knowledge (TPACK).

This project is developing, testing, and evaluating a diversity-enhanced, STEM-based, professional development workshop for high school teachers and career guidance counselors. The project team is developing educational materials and running workshops that focus on pedagogical methods for incorporating hands-on activities into STEM classrooms in order to expose all students to technology and engineering. The long-term goal is to broaden and increase the diversity of students entering engineering-based college degree programs.

This project continues research and development work on high school instructional materials that integrate biology, computing, and mathematics. The project goal is to develop and test a one-semester high school course. The course consists of some modules developed under a previous NSF grant as well as some new material. Intended deliverables include up to five new instructional modules and a coherent one-semester course suitable for the increasing state requirements for a fourth year of mathematics.

In this project, investigators are laying the foundation for a rigorous quasi-experiment to test the effects of attending such a school using longitudinal student records, surveys, and interviews. By documenting survey response rates, student location rates, and rates for successful matching of student administrative and survey data, this project is demonstrating that it is possible to collect data that would enable a large-scale study to be launched with the necessary instruments and experience in hand.

This synthesis study includes a comprehensive systematic review and meta-analysis of research published since 2001 evaluating the impact of family engagement interventions on student STEM outcomes. The goal of this project is to (a) determine the effectiveness of family engagement interventions on STEM outcomes, (b) identify practices/components within interventions that are most effective for promoting STEM outcomes, and (c) reveal the extent to which the effects of family engagement interventions vary as a function of study quality and/or certain child, family, and community characteristics.

This project is developing and testing a website, software application, and supplemental instructional materials that use publicly accessible genomics data to foster scientific inquiry among high schools students. Outcomes for students and teachers include developing knowledge, skills, and understandings related to genetic inheritance; data investigation and analysis; the process of scientific inquiry; and collaboration.

Building on the team's prior research from early in the pandemic, this project team 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 2022 and into the 2022-23 school year. The team will analyze student and family overall and for key demographic groups of interest as schooling during the pandemic continues. 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.

This project is designing, developing, and testing a model that delivers effective teacher PD to in-service and preservice teachers to enable the successful implementation of engineering curricula. Research is performed to evaluate the impacts of the curricular materials and the teacher PD framework on classroom instructional practices and student learning, interests, and attitudes and to evaluate which curriculum components are most effective in promoting student learning and interest as a function of gender and ethnicity.

This project aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.