Preschool and kindergarten-aged children are still developing the skills needed to reflect on and manage their own thinking, a process often referred to as metacognition. Without strategic support from their teachers, young children may struggle to make sense of inquiry-based science activities and possibly form enduring misconceptions that may hamper future science learning. Yet, many teachers are unfamiliar with the metacognitive processes or how to intentionally facilitate their development. This project explores both how to improve early childhood teachers' understanding of metacognition and develop strategies to guide teachers in using language and feedback to more effectively support emerging metacognition and science learning in young children.
Projects
The growing importance of data, data science and artificial intelligence (AI) in education, work, and personal and civic life has increased the need for all U.S. students to develop data literacy, statistical reasoning, and computational thinking skills. However, most middle school students—especially those with learning disabilities (SLD)—receive limited or no instruction in these areas. Data science and AI instruction is often limited to high school settings, narrowly framed within mathematics or science, and rarely designed with the flexibility to support learner variability. The purpose of this project is to develop and refine Data Adventures, a series of open-access, modular, and instructional experiences units designed to introduce middle school students to data literacy, computational thinking, and digital storytelling, while also promoting critical understanding of AI and its role in education, work technology, and everyday life.
This project will develop a sustainable Research-Practice Partnership (RPP) model between the Worcester Public Schools (WPS) and the Learning Sciences Lab at Worcester Polytechnic Institute (WPI). Together, WPI and WPS will build the collaborative infrastructure for conducting impactful STEM education research within WPS. Specifically, the RPP will establish and document shared infrastructural systematic processes and materials, brainstorm and facilitate research ideas that address pressing issues in mathematics education, and build a community of trust among researchers, administrators, teachers, and families to make future research and implementation, innovation, and collaboration more impactful, accessible, and efficient.
The rapid onset of AI, and generative AI tools such as LLMs, amplify the need for AI literacies, including concepts, practices and ethics, for K-12 schools. Some AI literacy resources, such as AI4K12 and AI4ALL, have emerged, but it may be challenging for schools, particularly those in small districts, to navigate these resources. Furthermore, researchers need further guidance on how to support schools for AI literacy. These challenges for schools and researchers include how to coordinate planning across teachers, school leaders and researchers, how to implement across grade levels, classrooms, and content areas; how to provide training and preparation time to support lesson design and implementation; and how to support teachers in their own AI literacy. To address these needs, district leaders and teachers from Forest Park School District and researchers from the University of Illinois Chicago will engage in a one-year research practice partnership development to build a long-term RPP, co-design an AI literacy curriculum, and support professional development to implement the curriculum.
Scientific argumentation is one of the eight essential practices in the Next Generation Science Standards. Over the past decade, various methods have been employed to help middle-school students develop argumentation skills in formal learning environments. Despite these efforts, teachers continue to face challenges in motivating and engaging students, particularly in addressing the increasingly varied needs of students. Additionally, districts and schools struggle to integrate these research-based methods into their curriculum in ways that gain buy-in from teachers, students, and stakeholders. To address these challenges, this partnership development project brings together the West Aurora School District in Illinois and Northern Illinois University to pursue two primary goals: (1) co-construct a research and development plan focusing on ways to enhance support and effectiveness in the teaching practice of scientific argumentation through technology, and (2) develop a model for building a design research partnership between a school district and a mid-size public university.
Socio-environmental issues are both a key to secondary student interest in science and a difficult terrain for teachers to navigate. Problems like climate change have not only scientific but also social, political, and ethical aspects. In order to prepare students for fully understanding such issues, attention needs to be given to how teachers can be supported and learn for effective instruction. This four-year project enacts and researches a teacher professional development program, “Teaching for the Anthropocene,” with middle and high school science teachers that brings a concept of "critical systems thinking." The project investigates how critical systems thinking may enhance teachers’ understanding of socio-environmental issues and support them to integrate those understandings into their curriculum and teaching. The project also identifies potential challenges educators may face as well as what local conditions and program supports help them practically apply critical systems thinking in their classrooms.
Socio-environmental issues are both a key to secondary student interest in science and a difficult terrain for teachers to navigate. Problems like climate change have not only scientific but also social, political, and ethical aspects. In order to prepare students for fully understanding such issues, attention needs to be given to how teachers can be supported and learn for effective instruction. This four-year project enacts and researches a teacher professional development program, “Teaching for the Anthropocene,” with middle and high school science teachers that brings a concept of "critical systems thinking." The project investigates how critical systems thinking may enhance teachers’ understanding of socio-environmental issues and support them to integrate those understandings into their curriculum and teaching. The project also identifies potential challenges educators may face as well as what local conditions and program supports help them practically apply critical systems thinking in their classrooms.
STEM learning is a function of both student level and classroom level characteristics. Though research efforts often focus on the impacts of classrooms level features, much of the variation in student outcomes is at the student level. Hence it is critical to consider individual students and how their developmental systems (e.g., emotion, cognition, relational, attention, language) interact to influence learning in classroom settings. This is particularly important in developing effective models for personalized learning. To date, efforts to individualize curricula, differentiate instruction, or leverage formative assessment lack an evidence base to support innovation and impact. Tools are needed to describe individual-level learning processes and contexts that support them. The proposed network will incubate and pilot a laboratory classroom to produce real-time metrics on behavioral, neurological, physiological, cognitive, and physical data at individual student and teacher levels, reflecting the diverse dynamics of classroom experiences that co-regulate learning for all students.
Data science is fast becoming a dominant part of scientific, economic, and social scientific reasoning, as well as a necessary perspective for making life decisions that rely on data. But there is little work in either research or development with students younger than 2nd grade, and even less focusing on children not yet in kindergarten. By expanding knowledge in an emergent content area where young children are currently underserved, this set of three workshops will build capacity to create rigorous, equitable, inclusive, and culturally responsive data science teaching resources, a necessity for school readiness in the early childhood years.
Science education research shows that incorporating attention-grabbing concepts and experiences—phenomena—in science classes has the power to engage and inspire young learners. However, many elementary teachers, including those in small rural schools, may not have access to or the support to enact high-quality phenomenon-centered curriculum materials and resources in their science teaching practice. This project aims to address this problem of practice by designing, implementing, and investigating a professional learning approach that supports rural elementary teachers and administrators in incorporating local phenomena-driven science learning experiences in their classrooms.
To successfully understand and address complex and important questions in the field of environmental science, many kinds of communities’ knowledge about their local environment need to be engaged. This one-year partnership development project involves a collaboration to design an approach that would yield opportunities for K-12 students to learn about environmental science in ways that honor both traditional STEM knowledge and Native ways of knowing among the Pomo community in California.
Science education research shows that incorporating attention-grabbing concepts and experiences—phenomena—in science classes has the power to engage and inspire young learners. However, many elementary teachers, including those in small rural schools, may not have access to or the support to enact high-quality phenomenon-centered curriculum materials and resources in their science teaching practice. This project aims to address this problem of practice by designing, implementing, and investigating a professional learning approach that supports rural elementary teachers and administrators in incorporating local phenomena-driven science learning experiences in their classrooms.
Science education research shows that incorporating attention-grabbing concepts and experiences—phenomena—in science classes has the power to engage and inspire young learners. However, many elementary teachers, including those in small rural schools, may not have access to or the support to enact high-quality phenomenon-centered curriculum materials and resources in their science teaching practice. This project aims to address this problem of practice by designing, implementing, and investigating a professional learning approach that supports rural elementary teachers and administrators in incorporating local phenomena-driven science learning experiences in their classrooms.
Progress in science is motivated and directed by uncertainties. Yet even though uncertainty is a crucial fulcrum for scientific thought, school students are taught science within an overarching assumption that scientific knowledge is certain. This project explores the intellectual leverage of enabling middle school students to experience how scientific work grapples with uncertainty. The overall goal of this project is to understand how teachers can create equitable learning environments for culturally and linguistically diverse learners using Student Uncertainty for Productive Struggle as a pedagogical model in middle school science classrooms.
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.
Mathematical Opportunities in Student Thinking (MOSTs) are high-leverage instances of student mathematical thinking that emerge in whole-class discussions. The challenge for teachers is to build on these opportunities to help the whole class understand the mathematics underlying these student contributions. To help teachers learn how to build on MOSTs, there is a need for professional development resources and tools that facilitators can use. There is also a need for research about how teachers use what they learn in professional development in their teaching. This project is developing a teacher learning sequence that will support teachers in learning to productively use student thinking that surfaces in-the-moment during their instruction—that is, in learning to build on MOSTs.
With recent advances in artificial intelligence (AI), the United States needs to develop a diverse workforce with strong computational skills and the knowledge and capability to work with AI. Recent studies have raised questions about the extent to which youth are aware of AI and its application in industries of the future that may limit their interest in pursuing learning that lead toward careers in these industries. To address this challenge, learning trajectories (LTs) will be developed and researched for AI concepts that are challenging for middle and high school students. The project will design and pilot test learning activities and assessments targeting these concepts based on the LTs, offer teacher professional development on the LTs and related activities, and research the effectiveness of the LT-based activities when implemented by teachers during the regular school day.
Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.
An exit ticket is a recommended and widely used way to end a lesson. The most common purpose of exit tickets is to provide formative feedback to teachers about whether students have met the objectives of a given lesson. However, the psychology of learning literature suggests that there is an untapped potential for exit tickets to also benefit students’ learning directly. This project explores two potential enhancements to exit tickets, with the goal of improving high-school students’ mathematics knowledge and ability to regulate their own learning processes.
Mathematical Opportunities in Student Thinking (MOSTs) are high-leverage instances of student mathematical thinking that emerge in whole-class discussions. The challenge for teachers is to build on these opportunities to help the whole class understand the mathematics underlying these student contributions. To help teachers learn how to build on MOSTs, there is a need for professional development resources and tools that facilitators can use. There is also a need for research about how teachers use what they learn in professional development in their teaching. This project is developing a teacher learning sequence that will support teachers in learning to productively use student thinking that surfaces in-the-moment during their instruction—that is, in learning to build on MOSTs.
Professional learning communities (PLCs) are one common model for teachers to collaborate and learn from one another. The goal of this study is to understand how teachers' expertise is positioned in a PLC and the larger system of the school and district to inform mathematics teaching and learning. This should help schools and districts understand the features of PLCs that are important for supporting teachers as they collaborate and learn.
Providing computer science (CS) education to students prior to high school is critical for catalyzing their interest in CS and closing achievement and development gaps. However, the retention rate for underrepresented group participants in middle school CS teacher preparation programs is lower than that for their peers. The resulting lack of diversity in CS teachers contributes to students’ inequitable access to quality middle school CS education. In this project will investigate effective design and implementation strategies of CS teacher preparation programs aimed to increase the number of middle school CS teachers from underrepresented groups.
Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.
As the nation tackles the challenges of energy transition, K-12 education must prepare a future STEM workforce that can not only apply STEM skills but also address reasoning through complex sociotechnical problems involving social justice. Aligned with the principles of socially transformative engineering and focused on students of color, this project involves the design and implementation of a novel STEM education curriculum that will support the development of secondary students’ abilities to reason through ambiguous and ethical challenges through design projects and to transfer these competencies to everyday life and future workplaces.
Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.