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.
Projects
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 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.
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.
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.
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 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.
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.
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.
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.
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 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.
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.
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 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.
This project will conduct a study to identify instructional practices and professional development approaches for teachers and the policies needed to support ELLs' accomplishments in science and math. The study will synthesize research relevant to improving ELLs' STEM learning, offer insight into how to support both English language development and science and math learning, and provide a framework for future research to help identify the most relevant and pressing questions for the field.
This project is using innovative Geospatial Information Technology-based learning in high school environmental science studies with a focus on the meteorological and ecological impacts of climate change. The resources developed are using ArcGIS Explorer Desktop and Google Earth software applications to increase students' learning and interest in science and careers and will be adaptable for teachers to improve classroom implementation.
This project is examining the relationship between specific technology-based motivational activities and grade 5 to 9 student interest in STEM careers through a variety of classroom-based experiences. The project will test a series of specific hypotheses relating motivation, self-efficacy, STEM career interest, and mathematics learning to activity assignment.
This project will explore how a nationally implemented professional development model is applied in two distinct Indigenous communities, the impact the model has on teacher practice in Native-serving classrooms, and the model's capacity to promote the integration of culturally responsive approaches to STEM teaching.
This project is developing and studying high school curriculum modules that integrate social justice topics with statistical data investigations to promote skills and interest in data science among underrepresented groups in STEM.
Although there is a push to integrate artificial intelligence (AI) in K-12 education, the novelty of AI means that little is known about what schools, teachers, students, and parents know, need, and expect regarding AI in classrooms. The lack of access to AI knowledge and training is especially significant in rural high-needs communities where schools are under-resourced. This year-long partnership development project will seek to strengthen and expand existing research-practice partnerships (RPPs) with East Tennessee teachers and school leaders, develop new RPPs with parents and students enrolled in East Tennessee middle and high schools, and co-construct a shared vision for AI that aligns with the needs and assets of the partner community.
This project will use video case studies to identify key strategies used by exemplary teachers to guide class discussions. The project will study teachers in the areas of high school mechanics and electricity, and middle school life sciences, and is designed to develop the constructs and language that will enable us to describe key discussion leading strategies.
This project supports the expansion of an interactive, online STEM Videohall where hundreds of NSF-funded researchers share their work through brief video narratives and interactive discussion.
This project provides middle school students in a high poverty rural area in Northern Florida an opportunity to pursue post-secondary study in STEM by providing quality and relevant STEM design. The project will integrate engineering design, technology and society, electrical knowledge, and computer science to improve middle school students' spatial reasoning through experiences embedded within engineering design challenges.