Curricula/Activities

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.

Internet of Things Pedagogical Ecosystem for Integrated Computer Science and Software Engineering Education for Grades 9-12

This project aims to develop, implement, and evaluate an Internet of Things (IoT) based educational curriculum and technology that provides grades 9-12 students with Computer Science (CS) and Software Engineering (SE) education.

Award Number: 
2010259
Funding Period: 
Wed, 07/01/2020 to Fri, 06/30/2023
Full Description: 

The Internet of Things (IoT) technology connects physical devices such as industrial machines, vehicles, kitchen appliances, medical devices to the internet to enable users, businesses, and computers to make data driven decisions. The IoT is a rapidly improving, transformative field that is bound to positively impact global job markets and industries. With continued advancement in science and technology comes the need to educate K-12 students in emerging technologies to better prepare them for future academic and professional pursuits. This project aims to develop, implement, and evaluate an Internet of Things (IoT) based educational curriculum and technology that provides grades 9-12 students with Computer Science (CS) and Software Engineering (SE) education. At its core, the IoT technology uses inexpensive microcomputers that run code to collect, analyze, and share data with other devices or users. Due to this inherent integration between hardware and software, IoT has the potential to serve as an excellent platform for teaching CS and SE to high school students. Grades 9-12 teachers and students from diverse and varied socioeconomic backgrounds will participate in this curricular experience through their STEM/CS/Engineering classes. Broad dissemination through online platforms, summer camps, and museums will be used to share content, testimonials, teaching strategies, and best practices to a wide audience in the K-12 education community. Over three hundred high school students and 27 teachers will be engaged directly in-class or via outreach activities. The skills and knowledge gained as part of this curricular experience will provide strong college and career readiness to high school students.

The proposed IoT pedagogical ecosystem features an innovative approach to bringing CS and SE education to grades 9-12 by immersing students in the technical challenges of building web-connected physical computing systems. This project will focus on identifying critical elements for effective instructional design for CS and SE education by understanding student and teacher motivation. A key innovation of this effort will be the low-cost, IoT-hardware kits for project-based learning to create a hands-on experience in the classroom. The curriculum will involve real-world projects inspired by the National Academy of Engineering grand challenges that have direct applications in the industry (e.g., urban infrastructure, wearable technology, connected vehicles, connected health, and cybersecurity). Continuous and methodical assessment via rubrics and focus groups will enable data collection on students' CS/SE/IoT knowledge and skills, teamwork skills, and overall engagement. Rigorous quantitative statistical analysis (parametric and non-parametric) and qualitative methods (first cycle and second cycle coding) will be used to answer three research questions: 1) What is the impact of IoT-based projects on students' CS, SE, and hardware skills and knowledge? 2)What is the effect of IoT-based projects on students' engagement and teamwork skills? 3) What factors of instructional design promote/hinder engagement? This project will cumulatively provide an evidence-based understanding of how effective IoT is as a means to provide high school students with critical and modern CS/SE skills and knowledge.

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.

Enhancing Energy Literacy through Place-based Learning: Using the School Building to Link Energy Use with Earth Systems

This exploratory project will design, pilot, and evaluate a 10-weeek, energy literacy curriculum unit for a program called Energy and Your Environment (EYE). In the EYE curriculum, students will study energy use and transfer in their own school buildings. They will explore how Earth systems supply renewable and nonrenewable energy, and how these energy sources are transformed and transferred from Earth systems to a school building to meet its daily energy requirements.

Lead Organization(s): 
Award Number: 
2009127
Funding Period: 
Tue, 09/01/2020 to Thu, 08/31/2023
Full Description: 

Student understanding of energy concepts about Earth systems and human-built systems require grappling with current societal issues related to resource use and management, energy sources, climate impacts, and sustainability. These relationships are challenging for students and underdeveloped in many science curriculum frameworks. This exploratory project will design, pilot, and evaluate a 10-weeek, energy literacy curriculum unit for a program called Energy and Your Environment (EYE). In the EYE curriculum, students will study energy use and transfer in their own school buildings. They will explore how Earth systems supply renewable and nonrenewable energy, and how these energy sources are transformed and transferred from Earth systems to a school building to meet its daily energy requirements. Learning about complex ideas in a place that is common to both students and teachers provides a means for deeper understanding and application of energy use and exchange. The research team includes researchers in biology and in architecture with an emphasis on natural resources and the environment. The researchers will work with four middle school science teachers to develop a curriculum unit that requires deep understanding of energy-systems models, but that will also be designed to apply to the school system and community. This is place-based learning aligned with the Next Generation Science Standards to foster energy literacy, modeling of energy use and flow, and systems thinking.

The research questions for this study will ask about students' ability to construct and explain models about energy use and exchange, as well as about teachers' use of the newly developed instructional materials. The research team will collaborate with 4 middle school teachers to design and test the unit in their classrooms. Data collection includes students' drawn models of the energy systems in use in their school building, student and teacher interviews, classroom observations, and teacher questionnaires. Student understanding of the learning goals will be assessed through a learning performance on energy modeling, and an accompanying rubric to score student models and explanations. After an initial implementation of the unit in classrooms, the following summer, researchers and teachers will meet to revise the curriculum materials. Then, teachers new to the curriculum unit will participate in the professional development required to teach the EYE unit. They will introduce the revised unit to their students in the next year, as researchers collect data and evaluate student learning for the revised curriculum materials. Overall, the project intends to include about 600 middle school students.

Pandemic Learning Loss in U.S. High Schools: A National Examination of Student Experiences

As a result of the COVID-19 pandemic, schools across much of the U.S. have been closed since mid-March of 2020 and many students have been attempting to continue their education away from schools. Student experiences across the country are likely to be highly variable depending on a variety of factors at the individual, home, school, district, and state levels. This project will use two, nationally representative, existing databases of high school students to study their experiences in STEM education during the COVID-19 pandemic.

Lead Organization(s): 
Award Number: 
2030436
Funding Period: 
Fri, 05/15/2020 to Fri, 04/30/2021
Full Description: 

As a result of the COVID-19 pandemic, schools across much of the U.S. have been closed since mid-March of 2020 and many students have been attempting to continue their education away from schools. Student experiences across the country are likely to be highly variable depending on a variety of factors at the individual, home, school, district, and state levels. This project will use two, nationally representative, existing databases of high school students to study their experiences in STEM education during the COVID-19 pandemic. The study intends to ascertain whether students are taking STEM courses in high school, the nature of the changes made to the courses, and their plans for the fall. The researchers will identify the electronic learning platforms in use, and other modifications made to STEM experiences in formal and informal settings. The study is particularly interested in finding patterns of inequities for students in various demographic groups underserved in STEM and who may be most likely to be affected by a hiatus in formal education.

This study will collect data using the AmeriSpeak Teen Panel of approximately 2,000 students aged 13 to 17 and the Infinite Campus Student Information System with a sample of approximately 2.5 million high school students. The data sets allow for relevant comparisons of student experiences prior to and during the COVID-19 pandemic and offer unique perspectives with nationally representative samples of U.S. high school students. New data collection will focus on formal and informal STEM learning opportunities, engagement, STEM course taking, the nature and frequency of instruction, interactions with teachers, interest in STEM, and career aspirations. Weighted data will be analyzed using descriptive statistics and within and between district analysis will be conducted to assess group differences. Estimates of between group pandemic learning loss will be provided with attention to demographic factors.

This RAPID award is made by the DRK-12 program in the Division of Research on Learning. The Discovery Research PreK-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics by preK-12 students and teachers, through the research and development of new innovations and approaches. 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 the 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.

 

 

 

 

Place-Based Learning for Elementary Science at Scale (PeBLES2)

To support equitable access to place-based science learning opportunities, Maine Mathematics and Science Alliance in collaboration with BSCS Science Learning, will develop and test a model to support 3rd-5th grade teachers in incorporating locally or culturally relevant place-based phenomena into rigorously tested curricular units that meet the expectations of the NGSS. The project team will develop two units that could be used in any region across the country with built-in opportunities and embedded supports for teachers to purposefully adapt curriculum to include local phenomena.

Award Number: 
2009613
Funding Period: 
Fri, 05/15/2020 to Tue, 04/30/2024
Full Description: 

This project investigates how to design instructional resources and supporting professional learning that value rigor and standardization while at the same time creating experiences that help students understand their worlds by connecting to local phenomena, communities, and cultures. Currently, many instructional materials designed for widespread use do not connect to local phenomena, while units that do incorporate local phenomena are often developed from the ground up by community members, requiring extensive time and resources.  To support equitable access to place-based science learning opportunities, the Maine Mathematics and Science Alliance in collaboration with BSCS Science Learning, will develop and test a model to support 3rd-5th grade teachers in incorporating locally or culturally relevant place-based phenomena into rigorously tested units that meet the expectations of the Next Generation Science Standards (NGSS). The project team will develop two units and associated professional learning that could be used in any region across the country with built-in opportunities for teachers to purposefully adapt curriculum to include local phenomena.

A design based research approach will be used to: 1) iteratively design, test, and revise, two locally adaptable instructional resource packages for Grades 3-5 science; 2) examine how teachers apply unit resources and professional learning experiences to incorporate local phenomena into the curriculum and their teaching; and 3) examine how the process of curriculum adaptation can support teacher understanding of the science ideas and phenomena within the units, teacher agency and self-efficacy beliefs in science teaching, and student perceptions of relevance and interest in science learning. Participating teachers will range from rural and urban settings in California, Colorado, and Maine. Data sources will include instructional logs, teacher surveys, and student electronic exit tickets from 50 classrooms per unit as well as teacher interviews, classroom observations, and student focus groups from six exemplar case study teachers per unit. Evaluation of the project will focus on monitoring the (1) quality of the research and development components, (2) quality of program implementation to inform program improvement and future implementation, and (3) potential of scaling up the program to other sites and organizations. The design and research from this project will advance the field’s knowledge about how to design instructional materials and professional learning experiences that meet the expectations of the NGSS while also empowering teachers to adapt materials in productive ways, drawing on locally or culturally relevant phenomena.

 

The Discovery Research K-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.

Responding to a Global Pandemic: The Role of K-12 Science Teachers

This project will support a national research study on how teachers are helping students respond to COVID-19. The findings will inform the development of curriculum materials for teaching about COVID-19 and help science teachers to adapt their instruction as they help to fulfill a critical public health function. This study will enable a better understanding of the role that science teachers can play in a national response, both now and in future crises.

Lead Organization(s): 
Award Number: 
2027397
Funding Period: 
Fri, 05/01/2020 to Fri, 04/30/2021
Full Description: 

When a global health crisis emerges, students at all levels turn to their science teachers for information and, at times, reassurance, according to researchers at Horizon Research, Inc. (HRI). Science teachers serve a critically important public health function and become an important part of the nation's response efforts. Given the magnitude of the current COVID-19 crisis, it is likely that students are bringing their questions and concerns to their science teachers. As this award is made, nearly all K-12 school buildings in the U.S. are closed, and science teachers face unprecedented challenges in carrying out the instruction for which they are responsible while simultaneously addressing students' questions about COVID-19. Moreover, they must do this within new instructional formats. Education is crucial for helping students to understand the facts about the virus, despite much conflicting information and misinformation available. Education helps students understand and actively participate in measures to stop the spread of COVID-19. This award will support a national research study on how teachers are helping students respond to COVID-19. The findings will inform the development of curriculum materials for teaching about COVID-19, which are much needed right now, and help science teachers to adapt their instruction as they help to fulfill a critical public health function. This study will enable a better understanding of the role that science teachers can play in a national response, both now and in future crises.

The research will build on a study of science teachers conducted by HRI following the Ebola outbreak of 2014. Specifically, the research will investigate (1) where teachers of science get their information about coronavirus and COVID-19; (2) what types of resources teachers find most useful; (3) what factors influence whether science teachers address COVID-19 in their instruction; and (4) how science teachers adapt their teaching in response to COVID-19. HRI will recruit a nationally representative sample of several thousand K-12 teachers of science and invite them to complete a survey about their instruction related to COVID-19, both before school buildings closed and after. Using the Theory of Planned Behavior, the survey will be constructed to identify factors that predict whether teachers take up the topic. The survey will also collect data about how teachers address the virus and its transmission with their students. HRI will disaggregate survey data by school-, class-, student-, and teacher-level variables to identify patterns in student opportunities. Survey data will be supplemented by interviews with 50 survey respondents to gather more in-depth information related to the constructs of interest. Study findings will be immediately shared through a preliminary report that focuses on the survey data; mainstream print media using press releases; and social media partnering with the National Science Teaching Association. HRI also will publish policy briefs intended as guidance for schools, districts, and states; and research articles.

Leveraging Simulations in Preservice Preparation to Improve Mathematics Teaching for Students with Disabilities (Collaborative Research: Cohen)

This project aims to support the mathematics learning of students with disabilities through the development and use of mixed reality simulations for elementary mathematics teacher preparation. These simulations represent low-stakes opportunities for preservice teachers to practice research-based instructional strategies to support mathematics learning, and to receive feedback on their practices.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2009939
Funding Period: 
Fri, 05/01/2020 to Tue, 04/30/2024
Full Description: 

The preparation of general education teachers to support the mathematics learning of students with disabilities is critical, as students with disabilities are overrepresented in the lower ranks of mathematics achievement. This project aims to address this need in the context of elementary mathematics teacher preparation through the development and use of mixed reality simulations. These simulations represent low-stakes opportunities for preservice teachers to practice research-based instructional strategies to support mathematics learning, and to receive feedback on their practices. Learning units that use the simulations will focus on two high leverage practices: teacher modeling of self-monitoring and reflection strategies during problem solving and using strategy instruction to teach students to support problem solving. These high-leverage teaching practices will support teachers engaging all students, including students with disabilities, in conceptually sophisticated mathematics in which students are treated as sense-makers and empowered to do mathematics in culturally meaningful ways.

The project work encompasses three primary aims. The first aim is to develop a consensus around shared definitions of high-leverage practices across the mathematics education and special education communities. To accomplish this goal, the project will convene a series of consensus-building panels with mathematics education and special education experts to develop shared definitions of the two targeted high leverage practices. This work will include engaging with current research, group discussion, and production of documents with specifications for the practices. The second aim is to develop learning units for elementary mathematics methods courses grounded in mixed reality simulation. These simulations will allow teacher candidates to enact the high leverage practices with simulated students and to receive coaching on their practice from the research team. The impact of this work will be assessed through the analysis of interviews with teacher educators implementing the units and observations and artifacts from the implementations. The third aim will be to assess the effectiveness of the simulations on teacher candidates? practices and beliefs through small-scaled randomized control trials. Teacher candidates will be randomly assigned to conditions that address the practices and make use of simulations, and a business as usual condition focused on lesson planning, student assessment, and small group discussions of the high leverage practices. The impact of the work will be assessed through the analysis of baseline and exit simulations, measures of teacher self-efficacy for teaching students with disabilities, and observations of classroom teaching in their clinical placement settings.

Leveraging Simulations in Preservice Preparation to Improve Mathematics Teaching for Students with Disabilities (Collaborative Research: Jones)

This project aims to support the mathematics learning of students with disabilities through the development and use of mixed reality simulations for elementary mathematics teacher preparation. These simulations represent low-stakes opportunities for preservice teachers to practice research-based instructional strategies to support mathematics learning, and to receive feedback on their practices.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2010298
Funding Period: 
Fri, 05/01/2020 to Tue, 04/30/2024
Full Description: 

The preparation of general education teachers to support the mathematics learning of students with disabilities is critical, as students with disabilities are overrepresented in the lower ranks of mathematics achievement. This project aims to address this need in the context of elementary mathematics teacher preparation through the development and use of mixed reality simulations. These simulations represent low-stakes opportunities for preservice teachers to practice research-based instructional strategies to support mathematics learning, and to receive feedback on their practices. Learning units that use the simulations will focus on two high leverage practices: teacher modeling of self-monitoring and reflection strategies during problem solving and using strategy instruction to teach students to support problem solving. These high-leverage teaching practices will support teachers engaging all students, including students with disabilities, in conceptually sophisticated mathematics in which students are treated as sense-makers and empowered to do mathematics in culturally meaningful ways.

The project work encompasses three primary aims. The first aim is to develop a consensus around shared definitions of high-leverage practices across the mathematics education and special education communities. To accomplish this goal, the project will convene a series of consensus-building panels with mathematics education and special education experts to develop shared definitions of the two targeted high leverage practices. This work will include engaging with current research, group discussion, and production of documents with specifications for the practices. The second aim is to develop learning units for elementary mathematics methods courses grounded in mixed reality simulation. These simulations will allow teacher candidates to enact the high leverage practices with simulated students and to receive coaching on their practice from the research team. The impact of this work will be assessed through the analysis of interviews with teacher educators implementing the units and observations and artifacts from the implementations. The third aim will be to assess the effectiveness of the simulations on teacher candidates? practices and beliefs through small-scaled randomized control trials. Teacher candidates will be randomly assigned to conditions that address the practices and make use of simulations, and a business as usual condition focused on lesson planning, student assessment, and small group discussions of the high leverage practices. The impact of the work will be assessed through the analysis of baseline and exit simulations, measures of teacher self-efficacy for teaching students with disabilities, and observations of classroom teaching in their clinical placement settings.

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