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K-12 teachers are a critical resource for promoting equitable STEM achievement and attainment. Experimental research, however, rarely identifies specific, transferable STEM instructional practices, because STEM education research has typically implemented student-level randomization far more than it has implemented teacher-level randomization. A major barrier limiting scientific progress is the lack of a large-scale trialing infrastructure that can support teacher-level randomization and experimentation, given the logistical constraints of recruiting multiple sites and successfully randomizing at the teacher or classroom level. This Midscale Research Infrastructure Incubator will launch a two-year, accelerated process to address these challenges and develop a consensus plan for a STEM-teacher-focused trialing platform.

Staying up to date on new research findings is an increasingly daunting task for researchers, with scientific literature doubling roughly every 15 to 20 years. Synthesis researchers, too, face growing resource constraints as the size of extant literatures grow. To help mitigate associated challenges, this project will build the foundation and collaborations for using the latest advances in Artificial Intelligence (AI) to transform research synthesis in STEM education. This infrastructure will transform the speed and scale of research syntheses, while also democratizing access to the resources needed to conduct high-quality syntheses and spurring advances in broader researcher ecosystems.

This project will provide a virtual environment for completing the Food, Energy, and Water (FEW) graduate student experience. The proposed work facilitates a transition from interdisciplinary to transdisciplinary training of existing faculty and current graduate students through a virtual resource center to help develop systematic processes for interdisciplinary thinking about large societal problems, especially those at the nexus of food, energy, and water.

This is a continuing research project that supports (1) creation of what are termed "ink inscriptions"--handwritten sketches, graphs, maps, notes, etc. made on a computer using a pen-based interface, and (2) in-class communication of ink inscriptions via a set of connected wireless tablet computers. The primary products are substantiated research findings on the use of tablet computers and inscriptions in 4th and 5th grade math and science, as well as models for teacher education and use.

This is a continuing research project that supports (1) creation of what are termed "ink inscriptions"--handwritten sketches, graphs, maps, notes, etc. made on a computer using a pen-based interface, and (2) in-class communication of ink inscriptions via a set of connected wireless tablet computers. The primary products are substantiated research findings on the use of tablet computers, inscriptions, and networks in 4th/5th grade classrooms as well as models for teacher education and use.

This project is designing and conducting a crowd-sourced open innovation challenge to young people of ages 13-18 to mitigate levels of greenhouse gases. The goal of the project is to explore the extent to which the challenge will successfully attract, engage and motivate teen participants to conduct sustained and meaningful scientific inquiry across science, technology and engineering disciplines.

This project investigates stereotype threat at the classroom level and in the context of inquiry-based instruction, in order to develop strategies and a related professional development course, using the principles of Universal Design for Learning, to help teachers learn how to mitigate stereotype threat.

This project will create technology-enhanced classroom activities and resources that increase student learning of science practices in high school biology, chemistry, and physics. InquirySpace will incorporate several innovative technological and pedagogical features that will enable students to undertake scientific experimentation that closely mirrors current science research and learn what it means to be a scientist.

This project will research the knowledge and supervision skills principals' and other instructional leaders' need to support teachers in successfully integrating scientific practices into their instruction, and develop innovative resources to support these leaders with a particular focus on high-minority, urban schools. The project will contribute to the emerging but limited literature on instructional leadership in science at the K-8 school level. 

This project explores the potential of "Agent-Based Models" to assist learners to acquire environmental science concepts targeted in forthcoming Advanced Placement test standards. The investigators frame the research in a simulated scenario where "green" infrastructure is integrated into urban environments, and they propose how to use a new user interface strategy ("Paper-to-Parameters") that promises unique approaches for understanding the spatial and scalar relationships between simulation elements.

This project will design, develop, and test a new curriculum unit for high school chemistry courses that is organized around the question, "How does chemistry shape where I live?" The new unit will integrate relevant Earth science data, scientific practices, and key urban environmental research findings with the chemistry curriculum to gain insights into factors that support the approach to teaching and learning advocated by current science curriculum standards.

This project is developing and testing curriculum materials and a professional development model designed to explore the potential for introducing engineering concepts in grades 3 - 5 through design challenges based on stories in popular children's literature. The research team hypothesizes that professional development for elementary teachers using an interdisciplinary method for combining literature with engineering design challenges will increase the implementation of engineering in 3-5 classrooms and have positive impacts on students.

This project expands and augments a currently-funded NSF Noyce Track II teacher recruitment and retention grant with Quality Talk (QT), an innovative, scalable teacher-facilitated discourse model. Over the course of four years, the work will address critical needs in physics and chemistry education in 10th through 12th grade classrooms by strengthening the capacity of participating teachers to design and implement lessons that support effective dialogic interactions.

This study will investigate the integration of science with mathematics and engineering and develop resources that provide preschool children with integrated STEM learning experiences. The study will also investigate the connection between home and school learning and will develop resources that strengthen children's experiences at school and home.

This project is developing curricular materials that utilize best teaching practices in improving student understanding of statistics and data science for use in high school Algebra I, Algebra II, and Geometry courses.  Although teachers are encouraged to integrate statistics and data science in these kinds of high school courses, teachers do not have sufficient access to resources to accomplish this effectively. The distinctive feature of these curricular materials is the use of simulation-based inference methods, data visualization, and the entire statistical investigation process to improve students’ understanding of the relevance and power of statistics because these approaches are central to statistical thinking and practice.

This project is developing curricular materials that utilize best teaching practices in improving student understanding of statistics and data science for use in high school Algebra I, Algebra II, and Geometry courses.  Although teachers are encouraged to integrate statistics and data science in these kinds of high school courses, teachers do not have sufficient access to resources to accomplish this effectively. The distinctive feature of these curricular materials is the use of simulation-based inference methods, data visualization, and the entire statistical investigation process to improve students’ understanding of the relevance and power of statistics because these approaches are central to statistical thinking and practice.

This project will investigate the integration of engineering design, practices, and thinking into middle school life science curriculum while providing opportunities for students to foster knowledge of and increase interest in life and biosciences. The project will specifically respond to the need to create, implement, and evaluate a model intervention that will advance the knowledge base for establishing and retaining underrepresented minorities in STEM fields.

The project aims to develop and research Intelligent Science Stations, a new genre of interactive science experiences. The Intelligent Science Stations will provide students in kindergarten to 4th grade with hands-on science experiences, augmented by an intelligent agent that offers feedback based on artificial intelligence computer vision. This innovative approach offers evidence-based, personalized support and feedback to children, while also assisting teachers in integrating more inquiry-based science learning into their classrooms. By modeling behaviors like asking questions, making predictions, and explaining scientific phenomena, the interactive AI system helps teachers enhance their classroom experiences.

The project aims to develop and research Intelligent Science Stations, a new genre of interactive science experiences. The Intelligent Science Stations will provide students in kindergarten to 4th grade with hands-on science experiences, augmented by an intelligent agent that offers feedback based on artificial intelligence computer vision. This innovative approach offers evidence-based, personalized support and feedback to children, while also assisting teachers in integrating more inquiry-based science learning into their classrooms. By modeling behaviors like asking questions, making predictions, and explaining scientific phenomena, the interactive AI system helps teachers enhance their classroom experiences.

While simulations are powerful tools for scientific inquiry, most students need scaffolding to engage productively in simulation-based inquiry. This project will develop and study an automated feedback system designed to support middle school students' simulation-based inquiry into wildfires, floods, and hurricanes. The system, called Hazbot, will leverage advanced artificial intelligence (AI) technologies—including machine learning and large language models (LLMs)—to provide timely, personalized feedback as students investigate the three different natural hazards.