Underrepresented Populations (General)

Supporting Students' Language, Knowledge, and Culture through Science

This project will test and refine a teaching model that brings together current research about the role of language in science learning, the role of cultural connections in students' science engagement, and how students' science knowledge builds over time. The outcome of this project will be to provide an integrated framework that can guide current and future science teachers in preparing all students with the conceptual and linguistic practices they will need to succeed in school and in the workplace.

Lead Organization(s): 
Award Number: 
2010633
Funding Period: 
Tue, 09/01/2020 to Sat, 08/31/2024
Full Description: 

The Language, Culture, and Knowledge-building through Science project seeks to explore and positively influence the work of science teachers at the intersection of three significant and ongoing challenges affecting U.S. STEM education. First, U.S. student demographics are rapidly changing, with an increasing number of students learning STEM subjects in their second language. This change means that all teachers need new skills for meeting students where they currently are, linguistically, culturally, and in terms of prior science knowledge. Second, the needs and opportunities of the national STEM workforce are changing rapidly within a shifting employment landscape. This shift means that teachers need to better understand future job opportunities and the knowledge and skills that will be necessary in those careers. Third, academic expectations in schools have changed, driven by changes in education standards. These new expectations mean that teachers need new skills to support all students to master a range of practices that are both conceptual and linguistic. To address these challenges, teachers require new models that bring together current research about the role of language in science learning, the role of cultural connections in students' science engagement, and how students' science knowledge builds over time. This project begins with such an initial model, developed collaboratively with science teachers in a prior project. The model will be rigorously tested and refined in a new geographic and demographic context. The outcome will be to provide an integrated framework that can guide current and future science teachers in preparing all students with the conceptual and linguistic practices they will need to succeed in school and in the workplace.

This project model starts with three theoretical constructs that have been integrated into an innovative framework of nine practices. These practices guide teachers in how to simultaneously support students' language development, cultural sustenance, and knowledge building through science with a focus on supporting and challenging multilingual learners. The project uses a functional view of language development, which highlights the need to support students in understanding both how and why to make shifts in language use. For example, students' attention will be drawn to differences in language use when they shift from language that is suited to peer negotiation in a lab group to written explanations suitable for a lab report. Moving beyond a funds of knowledge approach to culture, the team view of integrating students' cultural knowledge includes strengthening the role of home knowledge in school, but also guiding students to apply school knowledge to their out-of-school interests and passions. Finally, the project team's view of cumulative knowledge building, informed by work in the sociology of knowledge, highlights the need for teachers and students to understand the norms for meaning making within a given discipline. In the case of science, the three-dimensional learning model in the Next Generation Science Standards makes these disciplinary norms visible and serves as a launching point for the project's work. Teachers will be supported to structure learning opportunities that highlight what is unique about meaning making through science. Using a range of data collection and analysis methods, the project team will study changes in teachers' practices and beliefs related to language, culture and knowledge building, as teachers work with all students, and particularly with multilingual learners. The project work will take place in both classrooms and out of class science learning settings. By working closely over several years with a group of fifty science teachers spread across the state of Oregon, the project team will develop a typology of teachers (design personas) to increase the field's understanding of how to support different teachers, given their own backgrounds, in preparing all students for the broad range of academic and occupational pathways they will encounter.

Supporting Elementary Teacher Learning for Effective School-Based Citizen Science (TL4CS)

This project will develop two forms of support for teachers: guidance embedded in citizen science project materials and teacher professional development. The overarching goal of the project is to generate knowledge about teacher learning that enables elementary school citizen science to support students' engagement with authentic science content and practices through data collection and sense making.

Lead Organization(s): 
Award Number: 
2009212
Funding Period: 
Wed, 07/01/2020 to Sun, 06/30/2024
Full Description: 

Citizen science involves individuals, who are not professional scientists, in authentic scientific research, typically in collaboration with professional scientists. When implemented well in elementary schools, citizen science projects immerse students in science content and engage them with scientific practices. These projects can also create opportunities for students to connect with their local natural surroundings, which is needed, as some research has suggested that children are becoming increasingly detached from nature. The classroom teacher plays a critical role in ensuring that school-based citizen science projects are implemented in a way that maximizes the benefits. However, these projects typically do not include substantial guidance for teachers who want to implement the projects for instructional purposes. This project will develop two forms of support for teachers: (1) guidance embedded in citizen science project materials and (2) teacher professional development. It will develop materials and professional development experiences to support teacher learning for 80 5th grade teachers impacting students in 40 diverse elementary schools.

The overarching goal of this project is to generate knowledge about teacher learning that enables elementary school citizen science to support students' engagement with authentic science content and practices through data collection and sense making. Specifically, the study is designed to address the following research questions: (1) What kinds of support foster teacher learning for enacting effective school-based citizen science? (2) How do supports for teacher learning shape the way teachers enact school-based citizen science? and (3) What is the potential of school-based citizen science for positively influencing student learning and student attitudes toward nature and science? Data collected during project implementation will include teacher surveys, student surveys and assessments, and case study protocols.

How Deep Structural Modeling Supports Learning with Big Ideas in Biology (Collaborative Research: Capps)

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2010223
Funding Period: 
Sat, 08/01/2020 to Wed, 07/31/2024
Full Description: 

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. This need is forcefully advanced by policy leaders including the National Research Council and the College Board. They point out that learning is more effective when students organize and link information within a consistent knowledge framework, which is what big ideas should provide. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology. In DSM, students learn a big idea as the underlying, or "deep" structure of a set of examples that contain the structure, but with varying outward details. As learners begin to apprehend the deep structure (i.e., the big idea) within the examples, they use the tools and procedures of scientific modeling to express and develop it. According to theories of learning that undergird DSM, the result of this process should be a big idea that is flexible, meaningful, and easy to express, thus providing an ideal framework for making sense of new information learners encounter (i.e., learning with the big idea). To the extent that this explanation is born out in rigorous research tests and within authentic curriculum materials, it contributes important knowledge about how teaching and learning can be organized around big ideas, and not only for deep structural modeling but for other instructional approaches as well.

This project has twin research and prototype development components. Both are taking place in the context of high school biology, in nine classrooms across three districts, supporting up to 610 students. The work focuses on three design features of DSM: (1) embedding model source materials with intuitive, mechanistic ideas; (2) supporting learners to abstract those ideas as a deep structure shared by a set of sources; and (3) representing this deep structure efficiently within the model. In combination, these features support students to understand an abstract, intuitively rich, and efficient knowledge structure that they subsequently use as a framework to interpret, organize, and link disciplinary content. A series of five research studies build on one another to develop knowledge about whether and how the design features bring about these anticipated effects. Earlier studies in the sequence are small-scale classroom experiments randomly assigning students to either deep structural modeling or to parallel, non modeling controls. Measures discriminate for the anticipated effects during learning and on posttests. Later studies use qualitative methods to carefully trace the anticipated effects over time and across topics. As a group, these studies are contributing generalized knowledge of how learners can effectively abstract and represent big ideas and how these ideas can be leveraged as frameworks for learning content with understanding. Two research-tested biology curriculum prototypes are being developed as the studies evolve: a quarter-year DSM biology curriculum centered on energy; and an eighth-year DSM unit centered on natural selection.

How Deep Structural Modeling Supports Learning with Big Ideas in Biology (Collaborative Research: Shemwell)

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2010334
Funding Period: 
Sat, 08/01/2020 to Wed, 07/31/2024
Full Description: 

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. This need is forcefully advanced by policy leaders including the National Research Council and the College Board. They point out that learning is more effective when students organize and link information within a consistent knowledge framework, which is what big ideas should provide. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology. In DSM, students learn a big idea as the underlying, or "deep" structure of a set of examples that contain the structure, but with varying outward details. As learners begin to apprehend the deep structure (i.e., the big idea) within the examples, they use the tools and procedures of scientific modeling to express and develop it. According to theories of learning that undergird DSM, the result of this process should be a big idea that is flexible, meaningful, and easy to express, thus providing an ideal framework for making sense of new information learners encounter (i.e., learning with the big idea). To the extent that this explanation is born out in rigorous research tests and within authentic curriculum materials, it contributes important knowledge about how teaching and learning can be organized around big ideas, and not only for deep structural modeling but for other instructional approaches as well.

This project has twin research and prototype development components. Both are taking place in the context of high school biology, in nine classrooms across three districts, supporting up to 610 students. The work focuses on three design features of DSM: (1) embedding model source materials with intuitive, mechanistic ideas; (2) supporting learners to abstract those ideas as a deep structure shared by a set of sources; and (3) representing this deep structure efficiently within the model. In combination, these features support students to understand an abstract, intuitively rich, and efficient knowledge structure that they subsequently use as a framework to interpret, organize, and link disciplinary content. A series of five research studies build on one another to develop knowledge about whether and how the design features bring about these anticipated effects. Earlier studies in the sequence are small-scale classroom experiments randomly assigning students to either deep structural modeling or to parallel, non modeling controls. Measures discriminate for the anticipated effects during learning and on posttests. Later studies use qualitative methods to carefully trace the anticipated effects over time and across topics. As a group, these studies are contributing generalized knowledge of how learners can effectively abstract and represent big ideas and how these ideas can be leveraged as frameworks for learning content with understanding. Two research-tested biology curriculum prototypes are being developed as the studies evolve: a quarter-year DSM biology curriculum centered on energy; and an eighth-year DSM unit centered on natural selection.

Responsive Instruction for Emergent Bilingual Learners in Biology Classrooms

This project seeks to support emergent bilingual students in high school biology classrooms. The project team will study how teachers make sense of and use an instructional model that builds on students' cultural and linguistic strengths to teach biology in ways that are responsive. The team will also study how such a model impacts emergent bilingual students' learning of biology and scientific language practices, as well as how it supports students' identities as knowers/doers of science.

Lead Organization(s): 
Award Number: 
2010153
Funding Period: 
Wed, 07/01/2020 to Fri, 06/30/2023
Full Description: 

The population of students who are emergent bilinguals in the US is not only growing in number but also, historically, has been underrepresented in STEM fields. Emergent bilingual students have not had access to the same high-quality science education as their peers, despite bringing rich academic, linguistic and cultural strengths to their learning. Building on smaller pilot studies and ideas that have shown to be successful in supporting emergent bilingual students' learning of elementary science, this project seeks to support emergent bilingual students in high school biology classrooms. The project team will study how teachers make sense of and use an instructional model that builds on students' cultural and linguistic strengths to teach biology in ways that are responsive. The team will also study how such a model impacts emergent bilingual students' learning of biology and scientific language practices, as well as how it supports students' identities as knowers/doers of science. The collaboration will include two partner districts that will allow the project work to impact about 11,000 high school students and 30 biology teachers in Florida. Over time, the project team plans to enact and study three cohorts of teachers and students; use the information learned to improve the instructional model; and develop lessons, a website, and other materials that can be applied to other contexts to support emergent bilingual students' learning of biology. This project will increase emergent bilingual students' participation in biology classes, improve their achievement and engagement in science and engineering practices, extend current research-based practices, and document how to build on emergent bilingual students' strengths and prior experiences.

In two previous pilot studies through the collaboration of an interdisciplinary team, the project team developed an instructional model that they found supported emergent bilingual students to have high-quality opportunities for science learning. The model builds on research related to culturally responsive instruction; funds of knowledge (including work on identity affirmation and collaboration); and linguistically responsive instruction (including using students' home languages and multiple modalities, and explicit attention to academic language). Using design-based research, the project team will gather data from two primary settings: their professional development program and biology teachers' classrooms. They will use these data both to improve the instructional model and professional development for biology teachers. Additionally, the project team will study how teachers use the model to support emergent bilingual students' biology engagement and achievement, as well as study how biology teachers enact the instructional model in two school districts. The project will work toward three main outcomes: a) to develop new knowledge related to how diverse learners develop language and content knowledge in biology through engaging in science and engineering practices; b) to generate new knowledge about how biology teachers can adapt responsive instruction to local contexts and student populations; and c) to articulate an instructional model for biology teachers of emergent bilingual students that is rigorous, yet practical. The dissemination and sustainability include publishing and presenting findings at a range of conferences and journals; making available the refined instructional framework and professional development materials on a website; communication with district leaders and policymakers; and white papers that can be more widely distributed.

Exploring Early Childhood Teachers' Abilities to Identify Computational Thinking Precursors to Strengthen Computer Science in Classrooms

This project will explore PK-2 teachers' content knowledge by investigating their understanding of the design and implementation of culturally relevant computer science learning activities for young children. The project team will design a replicable model of PK-2 teacher professional development to address the lack of research in early computer science education.

Lead Organization(s): 
Award Number: 
2006595
Funding Period: 
Tue, 09/01/2020 to Thu, 08/31/2023
Full Description: 

Strengthening computer science education is a national priority with special attention to increasing the number of teachers who can deliver computer science education in schools. Yet computer science education lacks the evidence to determine how teachers come to think about computational thinking (a problem-solving process) and how it could be integrated within their day-to-day classroom activities. For teachers of pre-kindergarten to 2nd (PK-2) grades, very little research has specifically addressed teacher learning. This oversight challenges the achievement of an equitable, culturally diverse, computationally empowered society. The project team will design a replicable model of PK-2 teacher professional development in San Marcos, Texas, to address the lack of research in early computer science education. The model will emphasize three aspects of teacher learning: a) exploration of and reflection on computer science and computational thinking skills and practices, b) noticing and naming computer science precursor skills and practices in early childhood learning, and c) collaborative design, implementation and assessment of learning activities aligned with standards across content areas. The project will explore PK-2 teachers' content knowledge by investigating their understanding of the design and implementation of culturally relevant computer science learning activities for young children. The project includes a two-week computational making and inquiry institute focused on algorithms and data in the context of citizen science and historical storytelling. The project also includes monthly classroom coaching sessions, and teacher meetups.

The research will include two cohorts of 15 PK-2 teachers recruited from the San Marcos Consolidated Independent School District (SMCISD) in years one and two of the project. The project incorporates a 3-phase professional development program to be run in two cycles for each cohort of teachers. Phase one (summer) includes a 2-week Computational Making and Inquiry Institute, phase two (school year) includes classroom observations and teacher meetups and phase three (late spring) includes an advanced computational thinking institute and a community education conference. Research and data collection on impacts will follow a mixed-methods approach based on a grounded theory design to document teachers learning. The mixed-methods approach will enable researchers to triangulate participants' acquisition of new knowledge and skills with their developing abilities to implement learning activities in practice. Data analysis will be ongoing, interweaving qualitative and quantitative methods. Qualitative data, including field notes, observations, interviews, and artifact assessments, will be analyzed by identifying analytical categories and their relationships. Quantitative data includes pre to post surveys administered at three-time points for each cohort. Inter-item correlations and scale reliabilities will be examined, and a repeated measures ANOVA will be used to assess mean change across time for each of five measures. Project results will be communicated via peer-reviewed journals, education newsletters, annual conferences, family and teacher meetups, and community art and culture events, as well as on social media, blogs, and education databases.

Paving the Way for Fractions: Identifying Foundational Concepts in First Grade (Collaborative Research: Newcombe)

The goal of this project is to investigate the extent to which individual differences in informal fraction-related knowledge in first-grade children are associated with short- and longer-term fractions and math outcomes, and to see whether there is a causal link between level of informal fraction-related knowledge and the ability to profit from fractions instruction that directly builds on this knowledge.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2000424
Funding Period: 
Mon, 06/01/2020 to Fri, 05/31/2024
Full Description: 

Although fractions represent a crucial topic in early childhood education, many students develop only a tenuous grasp of fraction concepts, even after several years of fraction instruction that is aligned with current standards. The goal of this project, led by a team of researchers at the University of Delaware and Temple University, is to answer important questions about the informal understandings of fractions young children have before they come to school and what their relations are to fraction learning in more formal instructional settings. Proficiency with fractions dramatically increases the likelihood of students succeeding in math, which in turn increases participation in the STEM workforce. Importantly, large individual differences in fraction understandings are apparent at the start of fractions instruction in the intermediate grades. Early fraction misunderstandings cascade into more severe math weaknesses in later grades, especially when instruction may shift abruptly from whole numbers to fractions. There is a critical need to understand the roots of individual differences that arise before formal instruction takes place. Young children possess important informal fraction understandings before they come to school, but the range of these abilities and their role in formal fraction learning and development is not well understood. The goal of this project is: a) to investigate the extent to which individual differences in informal fraction-related knowledge in first-grade children are associated with short- and longer-term fractions and math outcomes; and b) to see whether there is a causal link between level of informal fraction-related knowledge and the ability to profit from fractions instruction that directly builds on this knowledge. The findings from the project hold promise for informing early childhood educators how fractions can be incorporated in the first-grade curriculum in new and meaningful ways. Though the findings should be beneficial to all students, the project will specifically target members of groups underrepresented in STEM fields, including ethnic and racial minority and low-income students.

The project design includes both an observational study and an experimental study. The observational study will: (1) document individual differences in informal fraction-related knowledge in first grade; (2) determine concurrent relations between this informal knowledge and general cognitive and whole number competencies; and (3) examine whether informal fraction-related knowledge at the beginning of first grade uniquely predicts math outcomes at the end. The experimental study will explore the extent to which first graders' informal and formal fraction concepts can be affected by training. The researchers will test whether training on the number line, which is continuous and closely aligned with the mental representation of the magnitude of all real numbers, will help students capitalize on their informal fraction understandings of proportionality, scaling, and equal sharing as well as their experience with integers to learn key fraction concepts. Together, the synergistic studies will pinpoint the role informal fraction knowledge in learning key fraction concepts. All data will be collected in Delaware schools serving socioeconomically and ethnically diverse populations of students. Primary measures include assessments of informal fraction knowledge (proportional reasoning, spatial scaling, equal sharing), executive functioning, vocabulary, whole number knowledge, whole number/fraction number line estimation, formal fraction knowledge, and broad mathematics achievement (calculation, fluency, applied problems).

Building Environmental and Educational Technology Competence and Leadership Among Educators: An Exploration in Virtual Reality Professional Development

This project will bring locally relevant virtual reality (VR) experiences to teachers and students in areas where there is historically low participation of women and underrepresented minorities in STEM. This exploratory project will support the professional growth and development of current middle and high school STEM teachers by providing multiyear summer training and school year support around environmental sciences themed content, implementing VR in the classroom, and development of a support community for the teachers.

Lead Organization(s): 
Award Number: 
2010563
Funding Period: 
Mon, 06/15/2020 to Wed, 05/31/2023
Full Description: 

Many of the nation's most vulnerable ecosystems exist near communities with scant training opportunities for teachers and students in K-12 schools. The Louisiana wetlands is one such example. Focusing on these threatened natural environments and their connection to flooding will put science, technology, engineering, and mathematics (STEM) concepts in a real-world context that is relatable to students living in these areas while integrating virtual reality technology. This technology will allow students in rural and urban schools lacking resources for field trips to be immersed into simulated field experiences. This exploratory project will support the professional growth and development of current middle and high school STEM teachers by providing multiyear summer training and school year support around three specific areas: (1) environmental sciences themed content; (2) implementing virtual reality (VR) in the classroom, and (3) development of a support community for the teachers. Findings from this project will advance the knowledge of the most effective components in professional development for teachers to incorporate new knowledge into their classrooms. This project will bring locally relevant VR experiences to teachers and students in areas where there is historically low participation of women and underrepresented minorities in STEM. Through new partnerships formed with collaborators, the results of this project will be shared broadly in informal and formal education environments including public outreach events for an increase in public scientific literacy and public engagement.

This project will expand the understanding of the impact that a multi-layered professional development program will have on improving the self-efficacy of teachers in STEM. This project will add to the field's knowledge tied to the overall research question: What are the experiences of secondary STEM teachers in rural and urban schools who participate in a multiyear professional development (PD) program? This project will provide instructional support and PD for two cohorts of ten teachers in southeastern Louisiana. Each summer, teachers will complete a two-week blended learning PD training, and during the academic year, teachers will participate in an action research community including PD meetings and monthly Critical Friends Group meetings. A longitudinal pre-post-post design will be employed to analyze whether the proposed method improves teacher's self-efficacy, instructional practices, integration of technology, and leadership as the teachers will deploy VR training locally to grow the base of teachers integrating this technology into their curriculum. The findings of this project will improve understanding of how innovative place-based technological experiences can be brought into classrooms and shared through public engagement.

Synchronous Online Video-Based Development for Rural Mathematics Coaches (Collaborative Research: Amador)

This project will create a fully online video-based model for mathematics teacher professional development focused on supporting mathematics coaches in rural contexts, building on the investigators' previous work focused on online professional learning opportunities for mathematics teachers in rural contexts.

Lead Organization(s): 
Award Number: 
2006353
Funding Period: 
Fri, 05/15/2020 to Tue, 04/30/2024
Full Description: 

Mathematics coaching is a research-based method to improve teacher quality, yet there is little research on teaching and coaching mathematics in rural contexts. In addition, mathematics coaches in rural contexts frequently work in isolation with little access to professional learning opportunities to support their coaching practice. This project will create a fully online video-based model for mathematics teacher professional development focused on supporting mathematics coaches in rural contexts, building on the investigators' previous work focused on online professional learning opportunities for mathematics teachers in rural contexts. Results from the previous project focused on rural teachers and their coaches show that the professional development model increased connections between what teachers notice about student thinking and broader principles of teaching and learning, that teachers were able to enact stronger levels of ambitious mathematics instruction, and that teachers who received coaching showed a stronger focus on math content and instructional practice. This extension of the model to coaches includes an online content-focused coaching course, cycles of one-on-one video-based coaching, and an online video club to analyze coaching practice. The video clubs will be structured as a graduated model that will begin with facilitation by mentor coaches and move into coach participants facilitating their own sessions.

Three cohorts of 12 coach participants will be recruited, with one cohort launching each year. In the first year, coaches will participate in four 2-hour synchronous content-focused course meetings, two coaching cycles with a mentor coach, and four video club meetings. In the second year, cohorts will conduct and facilitate four video club meetings. Research on impact follows a design-based model, with iterative cycles of design and revision of the online model. An ongoing analysis of 15-20% of the data collected each year will be used to inform revisions to the model from year to year, with fuller data analysis ongoing throughout the project. Participating coaches will be engaged in a noticing interview and surveys to assess changes in their perceptions and practices as coaches. Each coach participant will record one coaching interaction as data to assess changes in coaching practices. Patterns of participation and artifacts from the online course will be analyzed. Coaching cycle meetings and video club meetings will be recorded and transcribed. The Learning to Notice framework will be used as an analytical lens for describing changes in coaching practice.

The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Synchronous Online Video-Based Development for Rural Mathematics Coaches (Collaborative Research: Choppin)

This project will create a fully online video-based model for mathematics teacher professional development focused on supporting mathematics coaches in rural contexts, building on the investigators' previous work focused on online professional learning opportunities for mathematics teachers in rural contexts.

Lead Organization(s): 
Award Number: 
2006263
Funding Period: 
Fri, 05/15/2020 to Tue, 04/30/2024
Full Description: 

Mathematics coaching is a research-based method to improve teacher quality, yet there is little research on teaching and coaching mathematics in rural contexts. In addition, mathematics coaches in rural contexts frequently work in isolation with little access to professional learning opportunities to support their coaching practice. This project will create a fully online video-based model for mathematics teacher professional development focused on supporting mathematics coaches in rural contexts, building on the investigators' previous work focused on online professional learning opportunities for mathematics teachers in rural contexts. Results from the previous project focused on rural teachers and their coaches show that the professional development model increased connections between what teachers notice about student thinking and broader principles of teaching and learning, that teachers were able to enact stronger levels of ambitious mathematics instruction, and that teachers who received coaching showed a stronger focus on math content and instructional practice. This extension of the model to coaches includes an online content-focused coaching course, cycles of one-on-one video-based coaching, and an online video club to analyze coaching practice. The video clubs will be structured as a graduated model that will begin with facilitation by mentor coaches and move into coach participants facilitating their own sessions.

Three cohorts of 12 coach participants will be recruited, with one cohort launching each year. In the first year, coaches will participate in four 2-hour synchronous content-focused course meetings, two coaching cycles with a mentor coach, and four video club meetings. In the second year, cohorts will conduct and facilitate four video club meetings. Research on impact follows a design-based model, with iterative cycles of design and revision of the online model. An ongoing analysis of 15-20% of the data collected each year will be used to inform revisions to the model from year to year, with fuller data analysis ongoing throughout the project. Participating coaches will be engaged in a noticing interview and surveys to assess changes in their perceptions and practices as coaches. Each coach participant will record one coaching interaction as data to assess changes in coaching practices. Patterns of participation and artifacts from the online course will be analyzed. Coaching cycle meetings and video club meetings will be recorded and transcribed. The Learning to Notice framework will be used as an analytical lens for describing changes in coaching practice.

The Discovery Research preK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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