Projects

This is an efficacy study to determine if partnerships among formal and informal organizations demonstrate an appropriate infrastructure for improving science literacy among urban middle school science students. The study aims to answer the following questions: How does participation in the program affect students' science knowledge, skills, and attitudes toward science; teachers' science knowledge, skills, and abilities; and families engagement in and support for their children's science learning and aspirations?

This research and development project examines the impact of the Project-Based Inquiry Science (PBIS) middle school science curriculum. The research questions explored will look into efficacy, implementation, and teacher practice. A unique feature of the study’s design is an analytic focus on the conditions needed to implement the curriculum in ways that improve student learning in light of the Framework for K-12 Science Education.

This exploratory project builds on twelve years of successful experience with the summer program for secondary mathematics teachers at PCMI. It addresses the following two needs in the field of professional development for secondary mathematics teachers: increase content knowledge and understanding of the Common Core State Standards for Mathematics; and investigate and develop alternative models to conduct content-based professional development that meets the recommendations of the MET-II report.

This project is developing and testing a prototype electronic teacher's guide for a 12-week genetics unit in the NSF-funded curriculum titled Foundation Science: Biology to determine how it impacts high school teachers' learning and practice. The electronic guide, which is based on an existing print guide, has a flexible design so that it anticipates and meets the curriculum planning and support needs of teachers with different knowledge/skills profiles.

This project will develop a standards-aligned engineering professional learning model for elementary teachers of multilingual learners. This interdisciplinary approach is innovative in its effort to provide teachers with sustained time to reflect on what they believe about language, their teaching of linguistically and racially minoritized students, and their interactions with multilingual students around engineering content. Using a participatory and collaborative approach, experts in literacy, language, and engineering will work with elementary teachers to develop strategies for how teachers can view students’ multilingualism as an asset to engineering.

This project is conducting an empirical analysis of NAEP assessment items in science to determine whether evidence supports the hypothesis that standardized tests capture only a limited amount of student knowledge because of their cultural background. The investigator will create a model of test design more likely to extract student knowledge from students of varied cultures by expanding items’ content. The study will examine the experience of American Indian groups, Alaska Natives, and Pacific Islanders.

This project conducts interdisciplinary research to advance understanding of embodied learning as it applies to STEM topics across a range of current technology-based learning environments (e.g., desktop simulations, interactive whiteboards, and 3D interactive environments). The project has two central research questions: How are student knowledge gains impacted by the degree of embodied learning and to what extent do the affordances of different technology-based learning environments constrain or support embodied learning for STEM topics?

The project will design, develop, and test a research-based professional development (PD) approach that will ensure that teachers, and ultimately their middle-school students, have the knowledge to act in a way that promotes zero net loss of biodiversity in their communities. Through their participation in the PD, teachers will be equipped to plan for and implement NGSS-aligned instruction, facilitate student identification and understanding of biodiversity and environmental justice issues in their local community, and foster student capacity to take action. Students will come to understand that biodiversity is a global issue that they can influence at the local level, and will become empowered, in both their knowledge and their agency, to be leaders in solving biodiversity problems in their communities.

This project builds on a successful introductory computer science curriculum, called Scratch Encore, to explore ways to support teachers in bringing together—or harmonizing—existing Scratch Encore instructional materials with themes that reflect the interests, cultures, and experiences of their students, schools, and communities. In designing these harmonized lessons, teachers create customized activities that resonate with their students while retaining the structure and content of the original Scratch Encore lesson.

This project builds on a successful introductory computer science curriculum, called Scratch Encore, to explore ways to support teachers in bringing together—or harmonizing—existing Scratch Encore instructional materials with themes that reflect the interests, cultures, and experiences of their students, schools, and communities. In designing these harmonized lessons, teachers create customized activities that resonate with their students while retaining the structure and content of the original Scratch Encore lesson.

This project aims to create and study an Equitable and Interactive Mathematical Modeling (EIM2) program that positions students as decision makers in their own learning. Despite the value of connecting students’ life experiences with their mathematical learning, the practical implementation of this strategy has proven challenging in a classroom setting. EIM2 addresses this issue by supporting students to engage in equitable mathematical modeling, a process of using mathematics to analyze and quantify scenarios through a lens of equity.

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. 

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.

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.

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.

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.

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.

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 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.

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 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.

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.