Projects

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 Engineering Teacher Pedagogy project implements and assesses the promise of an extended professional development model coupled with curriculum enactment to develop teacher pedagogical skills for integrating engineering design into high school biology and technology education classrooms. 

This project is developing lessons to engage students in grades 1-5 in engineering activities integrated with their science lessons. The project addresses the need to develop a broad understanding of what engineers do and the uses and implications of the technologies they create. The goals of the project are to increase the technological literacy of the students and to increase elementary teacher’s understanding of technology and engineering, to enable them to teach these subjects.

Project staff are developing modular instructional materials for students. The materials are designed to increase the awareness of and interest in career opportunities in engineering and technology. The modules use authentic, real-world engineering applications and hands-on experiences to build problem-solving skills and contribute to the technological literacy of secondary students. The modules specifically target the ITEA Content Standards for Technological Literacy and related benchmarks.

With increased focus on STEM education for students with extensive support needs ESN, engineering practices highlight the importance of problem-solving skills (e.g., systems thinking, creativity), and engineering lessons/units may provide a viable format for systematically planned math and science instruction that naturally embeds opportunities to teach students skills promoting increased self-regulated learning. Due to lack of prior experience teaching engineering, little is known about how teachers of students with ESN scaffold instruction to build their students’ engineering practices. Thus, this project focuses on teachers’ development of engineering practices, including how teachers support their students’ development of engineering-focused behaviors and mindsets through instruction.

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.

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.

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 will develop, implement, test, and revise instructional approaches and materials for high school students that focus on the links between scientific evidence and alternative explanations of phenomena relating to Earth and space education. Students will learn to construct diagrams showing the links between explanatory models of natural phenomena and lines of evidence, and then evaluate the plausibility of various alternative explanations for events.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

This project is researching the efficacy of a learning and assessment system that emphasizes students' attaining proficiency or better on a limited set of high value learning objectives in Algebra.

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.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

This research investigates how state-of-the-art creative and pedagogical agents can improve students' learning, attitudes, and engagement with computer science. The project will be conducted in high school classrooms using EarSketch, an online computer science learning environments that engages learners in making music with JavaScript or Python code. The researchers will build the first co-creative learning companion, Cai, that will scaffold students with pedagogical strategies that include making use of learner code to illustrate abstraction and modularity, suggesting new code to scaffold new concepts, providing help and hints, and explaining its decisions.

Navigating complex societal issues such as water shortages, forest fires, and other phenomena-based problems requires understanding the social, technological, and scientific dimensions surrounding the issues and they ways these dimensions interact, shift, and change. Despite its importance, however, developing students’ socioscientific literacy has received limited attention in elementary science teaching and learning contexts. This project begins to address this problem of practice by focusing first on developing elementary teachers’ socioscientific literacy and their capacity to integrate socioscientific issues and local phenomena in their science teaching practice.

This project will iteratively design, develop, field test, refine, and rigorously study a six-unit, facilitated, online professional development (PD) course focusing on energy-related concepts in the context of alternative energy. The primary audience is high school science teachers teaching out of their field of endorsement and serving students underrepresented in the sciences. The project will investigate whether the PD will precipitate changes in teacher knowledge and practice that result in higher student achievement.

This project develops and assesses the effectiveness of integrating three computation-based technologies into curricular modules: agent-based modeling (ABM), real-world sensing, and collaborative classroom networks. The STEM disciplines addressed are life sciences and physical sciences at middle and high school levels, specifically Evolution, Population Biology/Ecology, Kinetic Molecular Theory, and Electromagnetism.

Scientific literacy is an important educational goal, and the way scientists communicate is key to how science, as an institution, succeeds in its work. Conveniently, the recent and rapid rise of preprint publication platforms means that the public now has greater access to scientific communication and dialogue that occurs through open peer review. This is driving the need to educate students on, and engage them in, the evolving ways in which scientists construct and communicate knowledge. The goal of this project is to engage students in authentic science communication innovations through the implementation of a preprint and peer-review platform specifically designed for high school students.

The project focuses on the development of formative assessment tools that highlight assets of students’ use of crosscutting concepts (CCCs) while engaged in science and engineering practices in grades 9-12 Life Sciences.

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.

This project  will develop a video recording and analysis system called VideoReView (VRV) that allows grade four science teachers to record, tag, and analyze video in their classroom in real time. The investigators will then study and enhance the system in the context of professional learning communities of teachers.