Projects

Providing students with exposure to high quality computational thinking (CT) activities within science classes has the possibility to create transformative educational experiences that will prepare students to harness the power of CT for authentic problems. By building upon foundational research in human-AI partnership for classroom support and effective practices for integrating CT in science, this collaborative research project will advance understanding of how to empower teachers to lead computationally enriched science activities with adaptive pedagogical tools.

Providing students with exposure to high quality computational thinking (CT) activities within science classes has the possibility to create transformative educational experiences that will prepare students to harness the power of CT for authentic problems. By building upon foundational research in human-AI partnership for classroom support and effective practices for integrating CT in science, this collaborative research project will advance understanding of how to empower teachers to lead computationally enriched science activities with adaptive pedagogical tools.

As artificial intelligence (AI) becomes increasingly embedded in the technologies used by both students and teachers, it is essential for them to understand how to be safe while using AI. Furthermore, AI and cybersecurity technology together are better at detecting malicious activities than conventional security systems. The need to blend the two disciplines into a single, integrated curriculum for K-8 education is highlighted by the interconnectedness of AI and cybersecurity as complementary systems. This project will "plant the seeds" of these literacies by spiraling content on topics from computer programming, internet fundamentals, and introduction to data and AI along with cybersecurity topics in small doses throughout students' K-8 education. This project will lay the foundation for the students to eventually develop a comprehensive understanding of how different technologies work and interact.

As artificial intelligence (AI) becomes increasingly embedded in the technologies used by both students and teachers, it is essential for them to understand how to be safe while using AI. Furthermore, AI and cybersecurity technology together are better at detecting malicious activities than conventional security systems. The need to blend the two disciplines into a single, integrated curriculum for K-8 education is highlighted by the interconnectedness of AI and cybersecurity as complementary systems. This project will "plant the seeds" of these literacies by spiraling content on topics from computer programming, internet fundamentals, and introduction to data and AI along with cybersecurity topics in small doses throughout students' K-8 education. This project will lay the foundation for the students to eventually develop a comprehensive understanding of how different technologies work and interact.

This project is developing five web-based modules for middle school science that engage students in student-directed inquiry and provide teachers with professional development in facilitating this inquiry. These modules immerse students in virtual environments for learning (VELs) where they take on the role of scientists engaged in a complex task. The virtual settings presented in the VELs support students in designing and carrying out their own investigations.

Geometry instruction offers unique opportunities for students to apply design thinking to authentic problems. This project supports teachers in designing and implementing lessons using a human-centered design (HCD) approach. Geometry teachers will participate in lesson study for two years to plan problem-based geometry lessons and to observe student thinking during those lessons. The project investigates how teachers learn about and apply a human-centered framework for teaching geometry.

This project is revising and field testing six existing modules and developing, pilot testing, and field testing two engineering modules for required middle school science and mathematics classes: Catch Me if You Can! with a focus on seventh grade life science; and Creating Bioplastics targeting eighth grade physical science. Each module addresses an engineering design challenge of relevance to industries in the region and fosters the development of engineering habits of mind.

This project creates, tests and revises two-six week prototypical modules for middle school technology education classes, using the unifying themes and important social contexts of food and water. The modules employ engineering design as the core pedagogy and integrate content and practices from the standards for college and career readiness.

The ReaL Earth Inquiry project empowers teachers to employ real-world local and regional Earth system science in the classroom. Earth systems science teachers need the pedagogic background, the content, and the support that enables them to engage students in asking real questions about their own communities. The project is developing online "Teacher-Friendly Guides" (resources), professional development involving fieldwork, and inquiry-focused approaches using "virtual fieldwork experiences."  

This exploratory project will design, pilot, and evaluate a 10-week, energy literacy curriculum unit for a program called Energy and Your Environment (EYE). In the EYE curriculum, students will study energy use and transfer in their own school buildings. They will explore how Earth systems supply renewable and nonrenewable energy, and how these energy sources are transformed and transferred from Earth systems to a school building to meet its daily energy requirements.

This development and research project designs, develops, and tests a digital game-based learning environment for supporting, assessing and analyzing middle school students' conceptual knowledge in learning physics, specifically Newtonian mechanics. This research integrates work from prior findings to develop a new methodology to engage students in deep learning while diagnosing and scaffolding the learning of Newtonian mechanics.

This project will develop and test a digital platform for middle school mathematics classrooms to help students deepen and communicate their understanding of mathematics. The digital platform will allow students to collaboratively create representations of their mathematics thinking, incorporate ideas from other students, and share their work with the class.

This project will develop and test a digital platform for middle school mathematics classrooms to help students deepen and communicate their understanding of mathematics. The digital platform will allow students to collaboratively create representations of their mathematics thinking, incorporate ideas from other students, and share their work with the class.

The project will develop and study a professional development program focused on fraction for interventionists who work with grades four and five students with mathematics disabilities and difficulties.

This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.

This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.

The project will create a digital environment for middle school mathematics teachers that is combined with a student collaborative platform for a problem-solving curriculum. The goal is to design and develop the digital collaborative platform so networks of teachers can create, use, and share teaching resources for planning, enactment, and reflection on student thinking.

This project will engage teams of students and teachers of grades 7-12 in four competitive Challenges to design innovative strategies for carbon mitigation in areas such as transportation, agriculture or energy use. The project expands the typical boundaries of schools by enabling teams of students in multiple locations to collaborate in model-based reasoning through online discussion forums, using social media, and crowdsourcing ideas to construct possible solutions to environmental challenges. Project research will examine the impacts of the project on student learning and engagement.

As STEM education researchers work to improve STEM teaching and learning in schools and districts across the nation, rural communities are often overlooked. There is a definite critical need for STEM education research focused on rural communities. Rural schools typically have less funding for STEM programs, have trouble recruiting and retaining quality STEM teachers, and have less access to STEM learning opportunities. Yet, rural communities possess an abundance of ingenuity, resourcefulness, and collective problem-solving skills. This project works to address this need by bringing together researchers, rural educators, and workforce leaders in rural communities to support the mutual exchange of knowledge and learning around pressing problems in rural K-12 STEM education, understanding rural ingenuity within teaching STEM, and STEM education's connection with the local workforce.

The goals of this project are to 1) develop methods for analyzing data collected to document the institutional setting of mathematics teaching that are specific to equity and access for all middle school students to high quality mathematics instruction; and 2) develop an instrument for assessing the quality of mathematics instruction that focuses specifically on the extent to which all students are supported to substantially participate in academically rigorous mathematics.

This project will engage in a community-wide effort to synthesize the literature from a broad range of fields and to use the findings to create frameworks that will guide the planning, implementation, and scale-up of efforts to improve geographic education over the next decade. This will result in a set of publicly reviewed, consensus reports that will guide collaborative efforts and broaden awareness of the acute need for geographic literacy and geographic science education.

The purpose of this project is to leverage ongoing efforts related to science education and the current emergency and disaster recovery landscape in Puerto Rico. It will develop culturally relevant project-based science lesson plans that incorporate the disaster context that can be implemented both inside and outside of the traditional classroom. The project will allow displaced students to continue learning under the guidance of teachers, parents or social workers. The project will train educators in the use of disaster-related problem-based lessons and assess project implementation and the impact of the lessons. The final outcome of this aim will be a lesson plan template and implementation guidelines for other jurisdictions faced by natural disasters.

This project’s overarching goal is to evaluate the assessment components embedded within two NSF-supported mathematics curricula: Everyday Mathematics and Math Trailblazers. The investigators will apply a comprehensive validity perspective that integrates a variety of empirical evidence regarding the cognitive, psychometric, and instructional affordances of multiple assessments embedded in these curricula as part of their overall instructional design.

This project conducts research on knowledge that contributes to successful coaching in two domains: coaching knowledge and mathematics content knowledge. The influence of these knowledge domains on both coaches and teachers is being examined in two ways: (1) by investigating correlations between assessments of coach and teacher knowledge and practice in each domain and (2) by investigating causal effects of targeted professional development for coaches.

This is an exploratory study to identify critical aspects of effective science formative assessment (FA) practices for English Language Learners (ELLs), and the contextual factors influencing such practices. FA, in the context of the study, is viewed as a process contributing to the science learning of ELLs, as opposed to the administration of discrete sets of instruments to collect data from students. The study targets Spanish-speaking, elementary and middle school students.