Projects

This project will develop a novel, automated technology to provide middle-school students and their teachers with real-time feedback about students' written explanations of physics phenomena. Working in groups to design a roller coaster, students will learn about key principles in physics such as the conservation of energy and the laws concerning forces and motion and record their ideas and explanations in a digital journal.

This project will develop a novel, automated technology to provide middle-school students and their teachers with real-time feedback about students' written explanations of physics phenomena. Working in groups to design a roller coaster, students will learn about key principles in physics such as the conservation of energy and the laws concerning forces and motion and record their ideas and explanations in a digital journal.

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 explore the potential of video-based formative feedback to enhance professional development around ambitious instruction for secondary teachers in urban schools.

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 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 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 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 is writing and researching a book supporting grade 5-8 students in scientific explanations and arguments. The book provides written and video examples from a variety of contexts in terms of content and diversity of students. The book and accompanying facilitator materials also provide different teacher instructional strategies for supporting students. The research focuses on how the book and accompanying professional development impact teachers' beliefs, pedagogical content knowledge and classroom practice.

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.

Familial presence in school supports children’s learning. However, few models exist that illustrate forms of familial presence in STEM learning that center familial cultural knowledge and practice. The project will produce a model for familial engagement in STEM along with instructional tools and illustrative case-studies that can be used by teachers and school districts nationally in support of increasing students’ STEM learning. This three-year study investigates new instructional practices that support rightful familial presence in STEM as a mechanism to address the continued racial and class gaps in STEM achievement for historically marginalized students.

This project examines how Latine, bilingual teachers' dispositions to teach science and engineering to bilingual learners change as they enter the teaching profession. Specifically, it explores bilingual teachers' transition from a period of strong social support to one of scarce social support, i.e., from being Bilingual Teacher Candidates to Novice Bilingual Teachers (NBTs) as they plan and teach bilingual science and engineering lessons.

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 a professional learning experience for middle school teachers to support them in developing five mathematical practices in their teaching focused on mathematical argumentation - creating mathematical arguments, using appropriate tools strategically, looking for and make use of structure, attending to precision, and looking for and express regularity in repeated reasoning.

This project's first goal is to study the national landscape of mathematics intervention classes, which are additional classes provided to struggling students, including learners with and without identified disabilities. We administered a survey to a nationally representative sample of 2,024 urban and suburban public schools with grades 6-8 to find out how these classes are being implemented and the types of challenges faced. Approximately 43% of schools (876 schools) responded to the survey; the findings revealed widespread implementation of these classes (69% of schools) and highlighted a range of practices in terms of class size, scheduling, duration, staffing and content focus. Our project's second goal is to apply the survey findings to design professional development to support teachers of mathematics intervention classes, helping them to build knowledge and practices for addressing students' wide range of learning needs.

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 will collect and curate digital stories of diverse mathematicians sharing stories of their learning within and beyond schools. These short videos will become part of a more extensive digital database of mathematics stories that will be aligned with K-8 mathematics topics and then materials will be developed for teachers to use. The project team will explore the use of mathematics storytelling on K-8 teacher and student mathematics learning and engagement.

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.

This is an exploratory project that will research and develop resources and a model for professional learning needed to meet the demand of implementing the Next Generation Science Standards (NGSS). The Exploratorium Teacher Institute will engage middle school science teachers in a one-year professional learning program to study how familiar routines and classroom tools, specifically hands-on science activities, can serve as starting points for teacher learning.

This project uses green school buildings as an opportunity to involve students in STEM activities in their environment. The goal is to produce an action plan for transforming the middle school science and mathematics curriculum by rethinking the content that is taught, the ways in which students and teachers can engage effectively with that content, and the role that technology can play to ensure wide access to the data and to the new curriculum.

This project revises and tests integrated STEM modules and an accompanying professional development component that promote differentiated instruction in order to facilitate high school teachers' instruction of 21st century skills and integrated STEM content. STEM Fusion is a multi-tiered project focusing on the refinement of draft professional resources and the development of teacher skills related to differentiated instruction within integrated STEM instruction.

This project will capitalize on the STEM for All Video Showcase and extend its impact by creating a STEM for All Multiplex. The Multiplex will draw on past and future Video Showcase videos to create a multimedia environment for professional and public exchange, as well as to provide a way for anyone to search the growing database of videos, create thematic playlists, and re-use the content in new educational and research contexts.