This project will create two curriculum units that use sophisticated simulations designed for students in secondary schools that integrate the study of the tectonic system and the rock genesis system. The project seeks to overcome the more typical approaches taken in earth science classrooms where such geologic processes are treated as discrete and highly predictable, rather than intertwined and dynamic.
Projects
The goal of this planning grant is to explicitly focus on broadening participation in the K-12 STEM teaching workforce, with the theory of action that diversifying the K-12 STEM teaching workforce would in the long term help more students see STEM as accessible to them and then be more likely to choose a STEM degree or career.
In this project, investigators from the University of North Dakota develop, evaluate, and implement an on-going, collaborative professional development program designed to support teachers in teaching engineering design to 5th-8th grade students in rural and Native American communities.
This project team partners with the mathematics department of one urban public charter high school that serves 65% students of color (most of whom identify as African American). At the school, 70% of all students qualify for free or reduced lunch, and 25% of the students have Individualized Education Plans. This project investigates: 1) how mathematics teachers learn to teach the mathematics content through investigation of relevant social issues, 2) how teachers negotiate classroom dilemmas related to this approach, and 3) how students feel about mathematics and their ability to enact change toward an equitable society.
Increased focus on school accountability and teacher performance measures have resulted in STEM instruction that emphasizes content and procedural knowledge over critical thinking and real-world applications. Yet, critical thinking and application are essential in developing functional scientific literacy skills among students. This need is perhaps most pressing in economically depressed urban settings. One strategy to promote STEM engagement and learning is to make clear and meaningful connections between STEM concepts, principles, and STEM-related issues relevant to the learner. Socioscientific issues (SSI) and the Social Justice STEM Pedagogies (SJSP) framework can provide a powerful avenue for promoting the desired kinds of engagement. This collaborative research project is designed to investigate the effectiveness of a professional development (PD) program for STEM teachers to develop their pedagogical content knowledge in teaching SSI and SJSP.
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.
This project is developing and researching customization tools to support teachers’ instructional shifts to achieve equitable sensemaking in middle school science classrooms. These tools will help teachers to better notice and leverage the ideas and experiences of non-dominant students to support all students in equitable sensemaking.
This project will engage middle school students in place-based coastal erosion investigations that interweave Indigenous knowledge and Western STEM perspectives. Indigenous perspectives will emphasize learning from place and community; Western STEM perspectives will focus on systems and computational thinking. The project will position middle school students in a culturally congruent epistemological stance (student-as-anthropologist), allowing them to build Earth science learning from both Indigenous knowledge as well as Western-style inquiry and promote their ability to apply integrated Earth science, mathematics, and computational thinking skills in the context of coastal erosion.
This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.
This project is developing and researching customization tools to support teachers’ instructional shifts to achieve equitable sensemaking in middle school science classrooms. These tools will help teachers to better notice and leverage the ideas and experiences of non-dominant students to support all students in equitable sensemaking.
This project will provide a field-based science and mathematics teacher education program that supports teaching focused on students’ affective development through culturally responsive practices. The project's teacher education program takes place over a two-year period and models how culturally responsive and affective instruction can occur in the STEM classroom to engage students.
This project will use visualizations from an easily accessible tool from NOAA, Science On a Sphere, to help students develop critical thinking skills and practices required to effectively make meaning from authentic scientific data. The project will use arts-based pedagogies for observing, analyzing, and critiquing visual features of data visualizations to build an understanding of what the data reveal. The project will work with middle school science teachers to develop tools for STEM educators to use these data visualizations effectively.
This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.
This project will develop a process for creating a shared, state-wide vision of high-quality mathematics instruction. It will also develop and study the resources to implement that vision at the state, district, and school levels. In addition, the project will investigate a collaborative process of designing and implementing high-quality mathematics instruction at a state level.
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.
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.
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.
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.
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 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.
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 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.