Projects

This comprehensive systematic review and meta-analysis synthesizes evidence surrounding math and science remote education programs from the past 15 years. The goal is to understand the effectiveness of math and science remote education programs; how their effectiveness varies by program characteristics (e.g., fully online vs. hybrid, synchronous vs. asynchronous, and student-instructor ratio); and whether their effects vary with student sample characteristics.

In this project, the research team will create a computer-mediated design environment that enables students in grades 7-10 to collaboratively explore, make connections, generate, and evaluate design ideas that address environmental science challenges. A unique feature of the project is its use of an artificial intelligent (AI) design mentor that relies on Design Heuristics, a research-based creativity tool that guides students through exploration of ideas and “learns” from students’ design processes to better assist them. The project will examine students’ perceptions of science and engineering, their ability to integrate academic and personal or community knowledge, their confidence for engaging in engineering, and their design thinking.

This project will develop and test a learning progression for middle school physical science that incorporates the three dimensions identified in Next Generation of Science Standards (NGSS): the Disciplinary Core Ideas of matter, interaction, and energy; the Science and Engineering Practices of constructing explanations and developing and using models; and the Crosscutting Concepts of cause and effect and systems and system models. Bringing together all three NGSS dimensions is an innovation that allows for the project to explore the variety of learning pathways that students may follow as they apply scientific knowledge and practices to make sense of compelling phenomena or solve complex problems.

The project is designing a web-based, district-led professional development implementation, focusing on improving mathematics discourse practices in K-2 classrooms, with particular attention to emergent multilingual learners. Building on two prior NSF-funded projects, the All Included in Mathematics K-2 New Extensions professional learning program will develop and research the impact of an augmented model for mathematics professional development on K-2 student learning through the addition of supports for coaches and leaders to the existing professional development model.

The focus of this project is the design of learning experiences in different high school science courses to help students gain experience in computational thinking. The project uses a partnership between two universities and school district to develop and refine the units as a collaboration between researchers, teachers, and school leaders. The goal is to help all students have opportunities to learn about computational thinking in multiple science courses.

Teacher professional learning is a critical part of the mathematics education landscape. For decades, professional learning has been the primary strategy for developing the skills of the teaching workforce and changing how teachers interact with students in classrooms around academic content. Professional learning also can be expensive for districts, both financially and in terms of teacher time. Given these investments, most school leaders wish to spend their professional development dollars efficiently, making decisions about professional learning design that maximize teacher and student learning. However, despite more than two decades of rigorous research on professional learning programs, practitioners have little causal evidence on which professional learning design features work to accelerate teacher learning. This project seeks to identify features of teacher professional learning experiences that lead to better mathematics outcomes for both teachers and students.

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.

The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs. The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.

Researchers from Georgia Tech have developed a three-year middle school Engineering and Technology course sequence that introduces students to advanced manufacturing tools such as computer aided design (CAD) and 3D printing, incorporates engineering concepts such as pneumatics, robotics and aeronautics, increases student awareness of career paths, and addresses the concerns of technical employers wanting workers with problem solving, teamwork, and communication skills. This impact study project will investigate the effectiveness of STEM-Innovation and Design (STEM-ID) curricula and determine whether STEM-ID courses are equally effective across different demographic groups and school environments under normal implementation conditions and whether the courses have the potential to positively impact a vast number of students around the country, particularly students who have struggled to stay engaged with their STEM education.

This project brings together a successful mathematics rubric-based coaching model (MQI Coaching) and an empirically developed observation tool focused on equity-focused instructional practices, the Equity and Access Rubrics for Mathematics Instruction (EAR-MI). The project measures the effects of the coaching model on teachers' beliefs and instructional practices and on students' mathematical achievement and sense of belonging in mathematics. The project also investigates how teachers' attitudes and beliefs impact their participation and what teachers take away from engagement with the coaching model.

This project explores the mechanisms by which teachers translate what they learn from professional development into their teaching practice. The goal of this project is to study how the knowledge and skills teachers acquire during professional development (PD) translate into more conceptually oriented mathematics teaching and, in turn, into increased student learning.

The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs. The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.

This project explores how to help teachers identify and support early elementary children’s emergent computational thinking. The project will engage researchers, professional development providers, and early elementary teachers (K-2) in a collaborative research and development process to design a scalable professional development experience for grade K-2 teachers. The project will field test and conduct research on the artifacts, facilitation strategies, and modes of interaction that effectively prepare K-2 teachers to learn about their students’ emergent use of computational thinking strategies.

This project brings together a successful mathematics rubric-based coaching model (MQI Coaching) and an empirically developed observation tool focused on equity-focused instructional practices, the Equity and Access Rubrics for Mathematics Instruction (EAR-MI). The project measures the effects of the coaching model on teachers' beliefs and instructional practices and on students' mathematical achievement and sense of belonging in mathematics. The project also investigates how teachers' attitudes and beliefs impact their participation and what teachers take away from engagement with the coaching model.

This project will develop and study a curriculum and app that support computational thinking (CT) in a high school biology unit. The project will engage students in rich data practices by gathering, manipulating, analyzing, simulating, and visualizing data of bioelectrical signals from neural sensors, and in so doing give the students opportunities to apply CT principles.

The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs. The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.

This project brings together a successful mathematics rubric-based coaching model (MQI Coaching) and an empirically developed observation tool focused on equity-focused instructional practices, the Equity and Access Rubrics for Mathematics Instruction (EAR-MI). The project measures the effects of the coaching model on teachers' beliefs and instructional practices and on students' mathematical achievement and sense of belonging in mathematics. The project also investigates how teachers' attitudes and beliefs impact their participation and what teachers take away from engagement with the coaching model.

Widely-adopted science education standards have expanded expectations for students to learn science research processes. To address these needs, the project will research and develop curricular materials and classroom practices that teachers can use to bring authentic science into their classes and engage students as active science researchers. The project, called MothEd, will focus on the study of moths, which are well-suited to the project’s goal of having students conduct authentic scientific investigations.

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.

The Common Core State Standards for Mathematics (CCSSM) problem-solving measures assess students’ problem-solving performance within the context of CCSSM math content and practices. This project expands the scope of the problem-solving measures use and score interpretation. The project work advances mathematical problem-solving assessments into computer adaptive testing. Computer adaptive testing allows for more precise and efficient targeting of student ability compared to static tests.

This project aims to support teachers to engage their students in mathematical problem posing (problem-posing-based learning, or P-PBL). P-PBL is a powerful approach to the teaching and learning of mathematics, and provides students with opportunities to engage in authentic mathematical practices.

The Common Core State Standards for Mathematics (CCSSM) problem-solving measures assess students’ problem-solving performance within the context of CCSSM math content and practices. This project expands the scope of the problem-solving measures use and score interpretation. The project work advances mathematical problem-solving assessments into computer adaptive testing. Computer adaptive testing allows for more precise and efficient targeting of student ability compared to static tests.

This partnership of BSCS Science Learning, Oregon Public Broadcasting, and the National Oceanic and Atmospheric Administration advances curriculum materials development for high quality units that are intentionally designed for adaptation by teachers for their local context. The project will create a base unit on carbon cycling as a foundation for understanding how and why the Earth's climate is changing, and it will study the process of localizing the unit for teachers to implement across varied contexts to incorporate local phenomena, problems, and solutions.

In this project, the team will address questions about how collaborative problem solving, learning progressions, and facilitation interact in the development of students’ mathematical learning. The work affords an opportunity to advance equitable access to high-quality education for all students by enhancing the quality of instruction for students lacking opportunities to learn key concepts of mathematics because of the inequitable structures of education in the country.

The purpose of this project is to develop and conduct initial studies of a multi-grade program targeting critical early math concepts. The project is designed to address equitable access to mathematics and STEM learning for all students, including those with or at-risk for learning disabilities and underrepresented groups.