Mixed Methods

Co-Designing for Statewide Alignment of a Vision for High-Quality Mathematics Instruction (Collaborative Research: Wilson)

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.

Award Number: 
2100903
Funding Period: 
Thu, 07/15/2021 to Mon, 06/30/2025
Full Description: 

Mathematics teaching and learning is influenced by policy and practice at the state, district, and school levels. To support large-scale change, it is important for high-quality mathematics instruction to be aligned and cohesive across each level of the education system. This can be supported through regional partnerships among state, district, and school-based leaders, mathematics teachers, education researchers, and mathematicians. Such partnerships create instructional tools and resources to document the vision for instruction. For example, teams can work together to create instructional frameworks for each grade band that describe standards, mathematics teaching, and units for teaching. 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.

This project will develop a shared vision of high-quality mathematics instruction intended to improve systemic coherence during the implementation of education innovations. The project uses a research-practice partnership with a design-based implementation research design. To examine and support implementation of the vision, partners will continue a process of developing instructional frameworks, research and practice briefs, as well as additional resources as needed by stakeholders in the system. Engaging partners at all levels of the system is a central component of developing the shared vision of instruction. This project includes three major research questions. First, what are visions of high-quality mathematics instruction held by educators at different levels of a state educational system? Second, in what ways do educators' visions of high-quality mathematics instruction mediate their use of implementation resources in practice? Finally, in what ways do educators’ visions of high-quality mathematics instruction mediate their participation in the co-design of implementation resources? An activity theory framework is used to understand the interactions between partners at different levels in the system and the creation of artifacts during the design process. The research methods for the study are situated in design-based research to capture the conjectures, instructional resources, design processes, and outcomes of the process. The project will use case studies of partner districts, data gathering from interactions with partners, artifacts of the design process, and other documentation to understand how the vision is created and enacted in different settings and to develop an empirically supported design framework and methodology for implementing STEM innovations at scale that centralizes a shared instructional vision.

Co-Designing for Statewide Alignment of a Vision for High-Quality Mathematics Instruction (Collaborative Research: Mawhinney)

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.

Lead Organization(s): 
Award Number: 
2100833
Funding Period: 
Thu, 07/15/2021 to Mon, 06/30/2025
Full Description: 

Mathematics teaching and learning is influenced by policy and practice at the state, district, and school levels. To support large-scale change, it is important for high-quality mathematics instruction to be aligned and cohesive across each level of the education system. This can be supported through regional partnerships among state, district, and school-based leaders, mathematics teachers, education researchers, and mathematicians. Such partnerships create instructional tools and resources to document the vision for instruction. For example, teams can work together to create instructional frameworks for each grade band that describe standards, mathematics teaching, and units for teaching. 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.

This project will develop a shared vision of high-quality mathematics instruction intended to improve systemic coherence during the implementation of education innovations. The project uses a research-practice partnership with a design-based implementation research design. To examine and support implementation of the vision, partners will continue a process of developing instructional frameworks, research and practice briefs, as well as additional resources as needed by stakeholders in the system. Engaging partners at all levels of the system is a central component of developing the shared vision of instruction. This project includes three major research questions. First, what are visions of high-quality mathematics instruction held by educators at different levels of a state educational system? Second, in what ways do educators' visions of high-quality mathematics instruction mediate their use of implementation resources in practice? Finally, in what ways do educators’ visions of high-quality mathematics instruction mediate their participation in the co-design of implementation resources? An activity theory framework is used to understand the interactions between partners at different levels in the system and the creation of artifacts during the design process. The research methods for the study are situated in design-based research to capture the conjectures, instructional resources, design processes, and outcomes of the process. The project will use case studies of partner districts, data gathering from interactions with partners, artifacts of the design process, and other documentation to understand how the vision is created and enacted in different settings and to develop an empirically supported design framework and methodology for implementing STEM innovations at scale that centralizes a shared instructional vision.

Co-Designing for Statewide Alignment of a Vision for High-Quality Mathematics Instruction (Collaborative Research: Schwartz)

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.

Lead Organization(s): 
Award Number: 
2100895
Funding Period: 
Thu, 07/15/2021 to Mon, 06/30/2025
Full Description: 

Mathematics teaching and learning is influenced by policy and practice at the state, district, and school levels. To support large-scale change, it is important for high-quality mathematics instruction to be aligned and cohesive across each level of the education system. This can be supported through regional partnerships among state, district, and school-based leaders, mathematics teachers, education researchers, and mathematicians. Such partnerships create instructional tools and resources to document the vision for instruction. For example, teams can work together to create instructional frameworks for each grade band that describe standards, mathematics teaching, and units for teaching. 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.

This project will develop a shared vision of high-quality mathematics instruction intended to improve systemic coherence during the implementation of education innovations. The project uses a research-practice partnership with a design-based implementation research design. To examine and support implementation of the vision, partners will continue a process of developing instructional frameworks, research and practice briefs, as well as additional resources as needed by stakeholders in the system. Engaging partners at all levels of the system is a central component of developing the shared vision of instruction. This project includes three major research questions. First, what are visions of high-quality mathematics instruction held by educators at different levels of a state educational system? Second, in what ways do educators' visions of high-quality mathematics instruction mediate their use of implementation resources in practice? Finally, in what ways do educators’ visions of high-quality mathematics instruction mediate their participation in the co-design of implementation resources? An activity theory framework is used to understand the interactions between partners at different levels in the system and the creation of artifacts during the design process. The research methods for the study are situated in design-based research to capture the conjectures, instructional resources, design processes, and outcomes of the process. The project will use case studies of partner districts, data gathering from interactions with partners, artifacts of the design process, and other documentation to understand how the vision is created and enacted in different settings and to develop an empirically supported design framework and methodology for implementing STEM innovations at scale that centralizes a shared instructional vision.

Co-Designing for Statewide Alignment of a Vision for High-Quality Mathematics Instruction (Collaborative Research: McCulloch)

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.

Award Number: 
2100947
Funding Period: 
Thu, 07/15/2021 to Mon, 06/30/2025
Full Description: 

Mathematics teaching and learning is influenced by policy and practice at the state, district, and school levels. To support large-scale change, it is important for high-quality mathematics instruction to be aligned and cohesive across each level of the education system. This can be supported through regional partnerships among state, district, and school-based leaders, mathematics teachers, education researchers, and mathematicians. Such partnerships create instructional tools and resources to document the vision for instruction. For example, teams can work together to create instructional frameworks for each grade band that describe standards, mathematics teaching, and units for teaching. 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.

This project will develop a shared vision of high-quality mathematics instruction intended to improve systemic coherence during the implementation of education innovations. The project uses a research-practice partnership with a design-based implementation research design. To examine and support implementation of the vision, partners will continue a process of developing instructional frameworks, research and practice briefs, as well as additional resources as needed by stakeholders in the system. Engaging partners at all levels of the system is a central component of developing the shared vision of instruction. This project includes three major research questions. First, what are visions of high-quality mathematics instruction held by educators at different levels of a state educational system? Second, in what ways do educators' visions of high-quality mathematics instruction mediate their use of implementation resources in practice? Finally, in what ways do educators’ visions of high-quality mathematics instruction mediate their participation in the co-design of implementation resources? An activity theory framework is used to understand the interactions between partners at different levels in the system and the creation of artifacts during the design process. The research methods for the study are situated in design-based research to capture the conjectures, instructional resources, design processes, and outcomes of the process. The project will use case studies of partner districts, data gathering from interactions with partners, artifacts of the design process, and other documentation to understand how the vision is created and enacted in different settings and to develop an empirically supported design framework and methodology for implementing STEM innovations at scale that centralizes a shared instructional vision.

Reducing Racially Biased Beliefs by Fostering a Complex Understanding of Human Genetics Research in High School Biology Students (Collaborative Research: Donovan)

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

Lead Organization(s): 
Award Number: 
2100864
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

Genetic essentialism is the belief that people of the same race share genes that make them physically, cognitively, and behaviorally uniform, and thus different from other races. The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs and minimize the threat of backfiring (unintentionally increasing belief in essentialism). The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.  Project research findings, learning materials, and professional development institutes will be made available to educators and researchers across the country who desire to teach genetics to reduce racial prejudice.

To prepare for the research, the project will revise and augment the project’s existing HGL curriculum and professional development institutes.  In year one, the project will develop new versions of the HGL interventions. Using these materials, the project will train teachers to implement new versions of the HGL interventions in their classrooms. Researchers will video and audio record a sample of teachers and students as they learn. These data will be analyzed qualitatively to: (1) examine how the conceptual change of genetic essentialism was promoted or impeded by interactions between teachers, students, and the materials; and (2) identify and corroborate general factors undergirding the backfiring effect.  Knowledge constructed through these studies will be used to revise the HGL interventions and PDIs.  In year three, using the revised versions of the HGL intervention, the project will conduct a cluster randomized trial (CRT). The CRT will compare the HGL interventions to a well-defined “business as usual” genetics curriculum, using a statistically powerful and geographically diverse sample (N = 135 teachers, N = 16,200 students, from 33 states). Using data from the CRT, the project will identify classrooms where the interventions reduced essentialism, had no effect on it, and where it backfired. Then, the project will use stimulated recall methods to interview the teachers and students in those classrooms to make sense of factors that contributed to these outcomes. The project will use this information to develop the final version of the HGL interventions and PDI materials. By the end of year four, the project will have trained an additional 90-100 teachers to use HGL interventions, reaching an additional 10,800-12,000 students, in at least 33 different states.

Reducing Racially Biased Beliefs by Fostering a Complex Understanding of Human Genetics Research in High School Biology Students (Collaborative Research: Duncan)

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

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2100876
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

Genetic essentialism is the belief that people of the same race share genes that make them physically, cognitively, and behaviorally uniform, and thus different from other races. The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs and minimize the threat of backfiring (unintentionally increasing belief in essentialism). The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.  Project research findings, learning materials, and professional development institutes will be made available to educators and researchers across the country who desire to teach genetics to reduce racial prejudice.

To prepare for the research, the project will revise and augment the project’s existing HGL curriculum and professional development institutes.  In year one, the project will develop new versions of the HGL interventions. Using these materials, the project will train teachers to implement new versions of the HGL interventions in their classrooms. Researchers will video and audio record a sample of teachers and students as they learn. These data will be analyzed qualitatively to: (1) examine how the conceptual change of genetic essentialism was promoted or impeded by interactions between teachers, students, and the materials; and (2) identify and corroborate general factors undergirding the backfiring effect.  Knowledge constructed through these studies will be used to revise the HGL interventions and PDIs.  In year three, using the revised versions of the HGL intervention, the project will conduct a cluster randomized trial (CRT). The CRT will compare the HGL interventions to a well-defined “business as usual” genetics curriculum, using a statistically powerful and geographically diverse sample (N = 135 teachers, N = 16,200 students, from 33 states). Using data from the CRT, the project will identify classrooms where the interventions reduced essentialism, had no effect on it, and where it backfired. Then, the project will use stimulated recall methods to interview the teachers and students in those classrooms to make sense of factors that contributed to these outcomes. The project will use this information to develop the final version of the HGL interventions and PDI materials. By the end of year four, the project will have trained an additional 90-100 teachers to use HGL interventions, reaching an additional 10,800-12,000 students, in at least 33 different states.

Reducing Racially Biased Beliefs by Fostering a Complex Understanding of Human Genetics Research in High School Biology Students (Collaborative Research: Wedow)

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

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
2100959
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

Genetic essentialism is the belief that people of the same race share genes that make them physically, cognitively, and behaviorally uniform, and thus different from other races. The project will refine a genetics education curriculum, called Humane Genome Literacy (HGL), in order to reduce belief in genetic essentialism. This research will provide curriculum writers and educators with knowledge about how to design a humane genetics education to maximize reductions in students’ genetic essentialist beliefs and minimize the threat of backfiring (unintentionally increasing belief in essentialism). The research findings will demonstrate how to support teachers who wish to reduce beliefs in genetic essentialism by teaching students about the complexity of human genetics research using the HGL learning materials.  Project research findings, learning materials, and professional development institutes will be made available to educators and researchers across the country who desire to teach genetics to reduce racial prejudice.

To prepare for the research, the project will revise and augment the project’s existing HGL curriculum and professional development institutes.  In year one, the project will develop new versions of the HGL interventions. Using these materials, the project will train teachers to implement new versions of the HGL interventions in their classrooms. Researchers will video and audio record a sample of teachers and students as they learn. These data will be analyzed qualitatively to: (1) examine how the conceptual change of genetic essentialism was promoted or impeded by interactions between teachers, students, and the materials; and (2) identify and corroborate general factors undergirding the backfiring effect.  Knowledge constructed through these studies will be used to revise the HGL interventions and PDIs.  In year three, using the revised versions of the HGL intervention, the project will conduct a cluster randomized trial (CRT). The CRT will compare the HGL interventions to a well-defined “business as usual” genetics curriculum, using a statistically powerful and geographically diverse sample (N = 135 teachers, N = 16,200 students, from 33 states). Using data from the CRT, the project will identify classrooms where the interventions reduced essentialism, had no effect on it, and where it backfired. Then, the project will use stimulated recall methods to interview the teachers and students in those classrooms to make sense of factors that contributed to these outcomes. The project will use this information to develop the final version of the HGL interventions and PDI materials. By the end of year four, the project will have trained an additional 90-100 teachers to use HGL interventions, reaching an additional 10,800-12,000 students, in at least 33 different states.

Facilitating Formative Feedback: Using Simulations to Impact the Capability of Novice Mathematics Teachers

This project explores the ways in which thoughtfully designed simulations can provide preservice teachers with formative assessment opportunities that serve as a complement to, or alternative to as needed, feedback derived from field placement contexts. A set of simulations will be designed with a focus on eliciting and interpreting student thinking. These simulations will be used with preservice teachers in three elementary teacher preparation programs of varying size and demographics.

Lead Organization(s): 
Award Number: 
2101343
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

During their initial teacher preparation experiences, preservice teachers need meaningful formative assessment that can support them in developing their skills and practices as new teachers of mathematics. While field placements offer some such opportunities, too often preservice teachers are not able to see, experience, and enact a full range of research-based effective mathematics teaching practices. This level II four-year design and development study in the assessment strand explores the ways in which thoughtfully designed simulations can provide preservice teachers with formative assessment opportunities that serve as a complement to, or alternative to as needed, feedback derived from field placement contexts. A set of simulations will be designed with a focus on eliciting and interpreting student thinking. These simulations will be used with preservice teachers in three elementary teacher preparation programs of varying size and demographics. Data will be collected to understand the ways in which the feedback from engaging in the simulations serves to strengthen preservice teachers' abilities to elicit and interpret student thinking through an analysis of performance in the simulations, interviews with preservice teachers, and feedback from teacher educators. An associated study will establish the reliability and validity of the simulations as assessment tools.

Simulations will be developed and tested in three cycles, with iterative improvements made between each cycle. The first cycle will involve 10 preservice teachers in a pilot study separate from participation in a course, in which preservice teachers engage in a simulation, receive formative feedback, and engage in a second similar simulation. This cycle will evaluate the extent to which feedback appears to influence subsequent performance. In the second cycle, the project will work with three teacher educators in diverse contexts to enact the simulations with all preservice teachers in one section of their elementary mathematics methods courses. In the final cycle, the use of the simulations will shift from a research team actor playing the role of the student to a site-based actor recruited by the teacher educators at each of the three institutions. To validate the tools, researcher reliability and teacher educator reliability studies will be conducted to asses the extent to which the four different simulation assessments provide consistent feedback on the targeted teaching practices and the extent to which the scoring of the assessments are reliable. A G study (generalizability study) will be conducted to evaluate the extent to which the teacher participant is the primary source of variation as compared to variations from student actors or the rater administering the assessment. Results will be disseminated in a variety of mathematics education settings and the simulation materials will be made available to practitioners and adapted for additional use in  mixed-reality simulation platforms.

Using Natural Language Processing to Inform Science Instruction (Collaborative Research: Linn)

This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. The project will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic.

Partner Organization(s): 
Award Number: 
2101669
Funding Period: 
Thu, 07/01/2021 to Mon, 06/30/2025
Full Description: 

Often, middle school science classes do not benefit from participation of underrepresented students because of language and cultural barriers. This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. This work continues a partnership among the University of California, Berkeley, Educational Testing Service, and science teachers and paraprofessionals from six middle schools enrolling students from diverse racial, ethnic, and language groups whose cultural experiences may be neglected in science instruction. The partnership will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic. The partnership leverages a web-based platform to implement adaptive guidance designed by teachers that feature dialog and peer interaction. Further, the platform features teacher tools that can detect when a student needs additional help and alert the teacher. Teachers using the technology will be able to track and respond to individual student ideas, especially from students who would not often participate because of language and cultural barriers.

This project develops AI-based technology to help science teachers increase their impact on student science learning. The technology is aimed to provide accurate analysis of students' initial ideas and adaptive guidance that gets each student started on reconsidering their ideas and pursuing deeper understanding. Current methods in automated scoring primarily focus on detecting incorrect responses on test questions and estimating the overall knowledge level in a student explanation. This project leverages advances in natural language processing (NLP) to identify the specific ideas in student explanations for open-ended science questions. The investigators will conduct a comprehensive research program that pairs new NLP-based AI methods for analyzing student ideas with adaptive guidance that, in combination, will empower students to use their ideas as starting points for improving science understanding. To evaluate the idea detection process, the researchers will conduct studies that investigate the accuracy and impact of idea detection in classrooms. To evaluate the guidance, the researchers will conduct comparison studies that randomly assign students to conditions to identify the most promising adaptive guidance designs for detected ideas. All materials are customizable using open platform authoring tools.

Using Natural Language Processing to Inform Science Instruction (Collaborative Research: Riordan)

This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. The project will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic.

Lead Organization(s): 
Award Number: 
2101670
Funding Period: 
Thu, 07/01/2021 to Mon, 06/30/2025
Full Description: 

Often, middle school science classes do not benefit from participation of underrepresented students because of language and cultural barriers. This project takes advantage of language to help students form their own ideas and pursue deeper understanding in the science classroom. This work continues a partnership among the University of California, Berkeley, Educational Testing Service, and science teachers and paraprofessionals from six middle schools enrolling students from diverse racial, ethnic, and language groups whose cultural experiences may be neglected in science instruction. The partnership will conduct a comprehensive research program to develop and test technology that will empower students to use their ideas as a starting point for deepening science understanding. Researchers will use a technology that detects student ideas that go beyond a student's general knowledge level to adapt to a student's cultural and linguistic understandings of a science topic. The partnership leverages a web-based platform to implement adaptive guidance designed by teachers that feature dialog and peer interaction. Further, the platform features teacher tools that can detect when a student needs additional help and alert the teacher. Teachers using the technology will be able to track and respond to individual student ideas, especially from students who would not often participate because of language and cultural barriers.

This project develops AI-based technology to help science teachers increase their impact on student science learning. The technology is aimed to provide accurate analysis of students' initial ideas and adaptive guidance that gets each student started on reconsidering their ideas and pursuing deeper understanding. Current methods in automated scoring primarily focus on detecting incorrect responses on test questions and estimating the overall knowledge level in a student explanation. This project leverages advances in natural language processing (NLP) to identify the specific ideas in student explanations for open-ended science questions. The investigators will conduct a comprehensive research program that pairs new NLP-based AI methods for analyzing student ideas with adaptive guidance that, in combination, will empower students to use their ideas as starting points for improving science understanding. To evaluate the idea detection process, the researchers will conduct studies that investigate the accuracy and impact of idea detection in classrooms. To evaluate the guidance, the researchers will conduct comparison studies that randomly assign students to conditions to identify the most promising adaptive guidance designs for detected ideas. All materials are customizable using open platform authoring tools.

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