Projects

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.

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.

Familial presence in school supports children’s learning. However, few models exist that illustrate forms of familial presence in STEM learning that center familial cultural knowledge and practice. The project will produce a model for familial engagement in STEM along with instructional tools and illustrative case-studies that can be used by teachers and school districts nationally in support of increasing students’ STEM learning. This three-year study investigates new instructional practices that support rightful familial presence in STEM as a mechanism to address the continued racial and class gaps in STEM achievement for historically marginalized students.

This project aims to restructure middle school science education around Grand Challenges (GCs) such as pandemics, climate events, and diminishing biodiversity. Anchoring science education around grand challenges can motivate students learning and provide a meaningful context for science curriculum and assessment. By engaging in the units around GCs, middle school science teachers and students will have opportunities to work with real data, engage in argumentation based on evidence, and take part in solutions to the grand challenges.

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.

To act on energy issues, students need a strong understanding of energy flow and energy efficiency. However, students rarely have opportunities to learn about how buildings, such as their own school, drive about 40% of energy use and global carbon emissions. Addressing this gap in science education, this project will design, pilot, and evaluate a 6-week middle school curriculum called Build it Green! (BIG!). Blending classroom experiences and interactive digital learning tools, the researchers will work with rural middle schools in Missouri to implement and test how following the story of energy flow in and out of a hypothetical school building enhances students’ understanding of energy systems in the science of green buildings.

This project explores the effectiveness of two different versions of professional development (PD) designed to enhance middle school mathematics teachers’ understanding of fractions and proportions, and their teaching of these mathematical concepts to students. The PD uses an approach that engages teachers with web-based apps that allow them to test and experiment with their mathematical ideas. The apps, combined with guiding questions that challenge teachers’ thinking about fractions and proportions, serve both to promote critical thinking about the concepts and to further developing their understandings of the concepts. The researchers will use an innovative approach, topic modeling, to examine the effectiveness of each of version of the PD.

Teachers of mathematics engage in curricular reasoning as they design and interact with their students, choose curricular materials, and implement curriculum standards in the service of high-quality instruction. Currently, there is no shared measure of curricular reasoning of middle school teacher classroom decision making in mathematics. In this research project, the team develops and validates two measures of middle school teachers’ curricular reasoning in mathematics as practiced. The first measure looks at curriculum reasoning from the perspective of the teacher, the second measure attends to the perspectives of the mathematics education research community.

This study will investigate factors influencing teacher change after professional learning (PL) experiences and will examine the extent to which modest supports for science and engineering teaching in grades 3-5 sustain PL outcomes over the long term, such as increases in instructional time devoted to science, teacher self-efficacy in science, and teacher use of reform-oriented instructional strategies aligned with the Next Generation Science Standards.

This project aims to deepen understanding of how to support and develop early childhood science learning by articulating science and engineering practices observed in children’s play. It also aims to develop early childhood educators’ abilities to identify and support nascent science and engineering practices with young children. Through this project early childhood educators will engage in professional learning using a refined version of the Science and Engineering Practices Observation Protocol (SciEPOP), an observation tool that allows researchers to identify and describe high-quality play-based engagement with science and engineering practices. Through video-rich professional learning along with peer-based coaching, early childhood educators will grow in their ability to prepare play environments, identify nascent science and engineering practices, enhance and extend investigations through play, and record and reflect upon this learning.

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.

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 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 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 study will further the field's understanding of the role that science teachers play in adapting their instruction during a public health crisis, how they address emergent ideas throughout the unfolding of the pandemic, and the impacts that the pandemic has had on science teachers themselves.

The project will develop and research an innovative model for rural science teacher professional development via technology-mediated lesson study (TMLS). This approach supports translating professional learning into classroom practice by developing a technology-based, social support system among rural teachers.

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 will study the utility of a machine learning-based assessment system for supporting middle school science teachers in making instructional decisions based on automatically generated student reports (AutoRs). The assessments target three-dimensional (3D) science learning by requiring students to integrate scientific practices, crosscutting concepts, and disciplinary core ideas to make sense of phenomena or solve complex problems.

The COVID-19 pandemic has highlighted the need for supporting student learning about viral outbreaks and other complex societal issues. Given the complexity of issues like viral outbreaks, engaging learners with different types of models (e.g., mechanistic, computational and system models) is critical. However, there is little research available regarding how learners coordinate sense making across different models. This project will address the gap by studying student learning with different types of models and will use these findings to develop and study new curriculum materials that incorporate multiple models for teaching about viral epidemics in high school biology classes.

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.

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 research project aims to enhance elementary teacher education in science and computational thinking pedagogy through the use of Culturally Relevant Teaching, i.e. teaching in ways that are relevant to students from different cultural and linguistic backgrounds. The project will support 60 elementary teachers in summer professional development and consistent learning opportunities during the school year to learn about and enact culturally relevant computational thinking into their science instruction.

This research project aims to enhance elementary teacher education in science and computational thinking pedagogy through the use of Culturally Relevant Teaching, i.e. teaching in ways that are relevant to students from different cultural and linguistic backgrounds. The project will support 60 elementary teachers in summer professional development and consistent learning opportunities during the school year to learn about and enact culturally relevant computational thinking into their science instruction.

The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members.