Student Attitudes/Beliefs

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.

DataX: Exploring Justice-Oriented Data Science with Secondary School Students

This project will develop an integrated, justice-oriented curriculum and a digital platform for teaching secondary students about data science in science and social studies classrooms. The platform will help students learn about data science using real-world data sets and problems. This interdisciplinary project will also help students meaningfully analyze real-world data sets, interpret social phenomena, and engage in social change.

Award Number: 
2101413
Funding Period: 
Thu, 07/01/2021 to Fri, 06/30/2023
Full Description: 

Understanding data is critical for informed citizens. Data science is a growing and emerging field that can incorporate statistics, mathematics, and computer science to develop disciplinary knowledge and address societal challenges. This project will develop an integrated, justice-oriented curriculum and a digital platform for teaching secondary students about data science in science and social studies classrooms. The platform will help students learn about data science using real-world data sets and problems. This project includes science and social studies teachers in the design of the resources and in testing them in secondary school classrooms. Research and development in data science education is needed to understand how students can learn more about the use of data in meaningful and authentic ways. This interdisciplinary project will also help students meaningfully analyze real-world data sets, interpret social phenomena, and engage in social change.

During a two-year project period, we aim to iteratively advance three design components of the DataX program: (a) a justice-oriented data science curriculum integrated in secondary science and social studies; (b) a web-based learning platform that extends the Common Online Data Analysis Platform (CODAP) to support collaboration and sophisticated data practices; and (c) pedagogical practices that involve learners to work collectively as community. The guiding research question is: What scaffolds and resources are necessary to support the co-development of data, disciplinary, and critical literacies in secondary classrooms? To address this, the project will use participatory design research with science and social studies teachers to develop and test the curriculum, the learning platform, and the pedagogical practices. The data collected will include qualitative sources gathered from participatory design workshops and classrooms, as well as quantitative data from questionnaires and system logs. Using the data, we examine students' data science skills, data dispositions, and social participation in collaborative data investigations.

Connecting Elementary Mathematics Teaching to Real-World Issues (Collaborative Research: Felton)

This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.

Lead Organization(s): 
Award Number: 
2101456
Funding Period: 
Thu, 07/01/2021 to Sun, 06/30/2024
Full Description: 

There are long-standing calls to make mathematics more meaningful, relevant, and applicable both inside and outside of the K-12 classroom. In particular, there is a growing recognition that mathematics is a valuable tool for helping students understand important real-world issues that affect their lives and society. Further, mathematics can support students in becoming mathematically literate and engaged democratic citizens. Despite the increased interest in connecting mathematics to real-world issues in the classroom, many teachers feel unprepared to do so. This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.

The three goals of the Connecting Elementary Mathematics to the World project are: (1) To explore how mathematics teachers adapt, design, and enact tasks that connect mathematics to the real world. We will study the teaching practices of the project team as they engage in this work in two summer camps and in elementary classrooms at two sites. (2) To develop a collection of exemplar tasks and rich records of practice for each task. These records of practice will detail the mathematical and real-world learning goals, background knowledge needed for both goals, common student responses, and videos or vignettes of the task in progress. A team of six teachers at two sites will be recruited to collaborate with the team throughout the project. Teachers will provide input and feedback on the design of, appropriateness of, and relevance of the tasks and the support materials needed to implement the real-world tasks. Initial tasks will be field tested with elementary students and additional tasks will be developed for subsequent week-long summer camps and for teaching in elementary classrooms. (3) To research both the development and enactment of these tasks. We will develop a theoretical framework for creating and implementing real-world tasks that can inform future practice and research in this area. The research products of this project will result in (a) an understanding of effective teaching and design practices for connecting mathematics to real-world issues, (b) a theoretical framework of how these practices are interconnected, and (c) how these practices differ from practices when teaching typical school mathematics tasks.

Connecting Elementary Mathematics Teaching to Real-World Issues (Collaborative Research: Thanheiser)

This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.

Lead Organization(s): 
Award Number: 
2101463
Funding Period: 
Thu, 07/01/2021 to Sun, 06/30/2024
Full Description: 

There are long-standing calls to make mathematics more meaningful, relevant, and applicable both inside and outside of the K-12 classroom. In particular, there is a growing recognition that mathematics is a valuable tool for helping students understand important real-world issues that affect their lives and society. Further, mathematics can support students in becoming mathematically literate and engaged democratic citizens. Despite the increased interest in connecting mathematics to real-world issues in the classroom, many teachers feel unprepared to do so. This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.

The three goals of the Connecting Elementary Mathematics to the World project are: (1) To explore how mathematics teachers adapt, design, and enact tasks that connect mathematics to the real world. We will study the teaching practices of the project team as they engage in this work in two summer camps and in elementary classrooms at two sites. (2) To develop a collection of exemplar tasks and rich records of practice for each task. These records of practice will detail the mathematical and real-world learning goals, background knowledge needed for both goals, common student responses, and videos or vignettes of the task in progress. A team of six teachers at two sites will be recruited to collaborate with the team throughout the project. Teachers will provide input and feedback on the design of, appropriateness of, and relevance of the tasks and the support materials needed to implement the real-world tasks. Initial tasks will be field tested with elementary students and additional tasks will be developed for subsequent week-long summer camps and for teaching in elementary classrooms. (3) To research both the development and enactment of these tasks. We will develop a theoretical framework for creating and implementing real-world tasks that can inform future practice and research in this area. The research products of this project will result in (a) an understanding of effective teaching and design practices for connecting mathematics to real-world issues, (b) a theoretical framework of how these practices are interconnected, and (c) how these practices differ from practices when teaching typical school mathematics tasks.

Supporting High School Students and Teachers with a Digital, Localizable, Climate Education Experience

This partnership of BSCS Science Learning, Oregon Public Broadcasting, and the National Oceanic and Atmospheric Administration advances curriculum materials development for high quality units that are intentionally designed for adaptation by teachers for their local context. The project will create a base unit on carbon cycling as a foundation for understanding how and why the Earth's climate is changing, and it will study the process of localizing the unit for teachers to implement across varied contexts to incorporate local phenomena, problems, and solutions.

Lead Organization(s): 
Award Number: 
2100808
Funding Period: 
Thu, 07/01/2021 to Mon, 06/30/2025
Full Description: 

Teachers regularly adapt curriculum materials to localize for their school or community context, yet curriculum materials are not always created to support this localization. Developing materials that are intentionally designed for localization has potential to support rich science learning across different contexts, especially for a topic like climate change where global change can have varied local effects. This partnership of BSCS Science Learning, Oregon Public Broadcasting, and the National Oceanic and Atmospheric Administration advances curriculum materials development for high quality units that are intentionally designed for adaptation by teachers for their local context. It will develop and test a design process bringing together national designers and teachers across the country. Teachers will be supported through professional learning to adapt from the base unit to create a local learning experience for their students. The project will create a base unit on carbon cycling as a foundation for understanding how and why the Earth's climate is changing, and it will study the process of localizing the unit for teachers to implement across varied contexts to incorporate local phenomena, problems, and solutions. The unit will be fully digital with rich visual experiences, simulations, and computer models that incorporate real-time data and the addition of localized data sets. These data-based learning experiences will support students in reasoning with data to ask and answer questions about phenomena. Research will study the unit development and localization process, the supports appropriate for teachers and students, and the impact on classroom practice.

The project will adopt an iterative design process to create a Storyline base unit, aligned to Next Generation Science Standards, for localization, piloting, and an implementation study with 40 teachers. To support teacher learning, the project adopts the STeLLA teacher professional learning model. To support student learning, the project addresses climate change content knowledge with a focus on socioscientific issues and students’ sense of agency with environmental science. The project will research how the educative features in the unit and the professional development impact teachers’ practice, including their content knowledge, comfort for teaching a socioscientific issue, and their ability to productively localize materials from a base unit. The study uses a cohort-control quasi-experimental design to examine the impact of the unit and professional learning experience on dimensions of students' sense of agency with environmental science. The study will also include exploratory analyses to examine whether all students benefit from the unit. It uses a pre-post design to examine impacts on teacher knowledge and practice.

Fostering Computational Thinking through Neural Engineering Activities in High School Biology Classes

This project will develop and study a curriculum and app that support computational thinking (CT) in a high school biology unit. The project will engage students in rich data practices by gathering, manipulating, analyzing, simulating, and visualizing data of bioelectrical signals from neural sensors, and in so doing give the students opportunities to apply CT principles.

Lead Organization(s): 
Award Number: 
2101615
Funding Period: 
Wed, 09/01/2021 to Sun, 08/31/2025
Full Description: 

Computational thinking (CT) is a set of processes to identify and solve problems using algorithms or steps, and can be applied not only in computer science but in other disciplines. This project will develop and study a curriculum and app that support CT in a high school biology unit. Through a month-long neural engineering unit, approximately 500 students in 18 classes will measure their own muscle and brain activity with a low-cost, portable, wearable technology. Students will then analyze the data and design a brain-computer interface to turn neural signals into real-world output (e.g., a mechanical claw controlled by brain activity). The curriculum will be supported by: (1) a web-based instructional application that will guide students through the neural engineering design process; (2) neuroscience and engineering PhD students and postdocs acting as STEM mentors; and (3) a professional development program for teachers and mentors. The goal is to increase the students’ knowledge and interest regarding neurobiology, engineering, and computational thinking. This can contribute to their long-term capacity to pursue STEM careers. By integrating CT education into high school science, this expands the accessibility of the engineering and computing experiences beyond other efforts that focus primarily on programming and computer science courses.

The project will engage students in rich data practices by gathering, manipulating, analyzing, simulating, and visualizing data of bioelectrical signals from neural sensors, and in so doing give the students opportunities to apply computational thinking principles. The project will produce curriculum materials for the neural sensors and associated data practices. It will develop an app to help students design and construct a brain-computer interface, including computational elements like coding blocks, sensor and data simulation, and connecting to external devices. The five proposed research questions of the study are: How does students’ CT change throughout their participation in the neural engineering design process? What is the cross-cultural validity of two CT scales in a sample of high school students in the US? How does the process of collecting and analyzing real-world data relate to students’ experience of he engineering design process? How do students’ attitudes toward STEM change over the course of their participation in a neural engineering design process? How does teachers’ self-efficacy for fostering CT in their students via engineering design change through their participation in professional development and in implementation of the proposed curriculum?

Supporting Teachers to Teach Mathematics through Problem Posing

This project aims to support teachers to engage their students in mathematical problem posing (problem-posing-based learning, or P-PBL). P-PBL is a powerful approach to the teaching and learning of mathematics, and provides students with opportunities to engage in authentic mathematical practices.

Lead Organization(s): 
Award Number: 
2101552
Funding Period: 
Sun, 08/01/2021 to Thu, 07/31/2025
Full Description: 

This project aims to support teachers to engage their students in mathematical problem posing (problem-posing-based learning, or P-PBL). P-PBL is a powerful approach to the teaching and learning of mathematics, and provides students with opportunities to engage in authentic mathematical practices. For example, conjecturing in mathematics, a form of problem posing, often plays an important role in solving complex problems, and problem posing is an important component of mathematical modeling. Yet despite its importance, widely used curriculum materials fail to incorporate P-PBL in substantial and consistent ways, leaving teachers with few resources to enact this process. This project will develop problem-posing lessons and illustrative cases of teachers implementing P-PBL that will not only support teachers to develop a vision of what P-PBL looks like and how to implement it in their own classrooms, but will also serve as rich resources for professional development (PD) providers. This project will generate valuable findings about teaching using problem posing for district administrators, mathematics teachers, educators, and researchers as well as curriculum developers and policy makers. The team will develop and pilot a set of 20−30 research-based P-PBL cases that provide critical details for the implementation of P-PBL and reveal “lessons learned” from the development process.

The project promises broader impact on the field of mathematics education as the first goal is to support teachers to teach mathematics through engaging their students in mathematical problem posing. By guiding students to construct and investigate their own problems, P-PBL both helps to create mathematical learning opportunities and develops students’ mathematical agency and positive mathematical identities. A networked improvement community of teachers and researchers will integrate problem posing into daily mathematics instruction and continuously improve the quality of P-PBL through iterative task and lesson design. The intellectual merit of this project is its contribution of new and important insights about teaching mathematics through problem posing. This will be realized through the second project goal which is to longitudinally investigate the promise of supporting teachers to teach with P-PBL for enhancing teachers’ instructional practice and students’ learning. A quasi-experimental design coupled with design-based research methodology and improvement science will be used to understand how, when, and why P-PBL works in practice. Specifically, we plan to follow a sample of 36 teachers and their approximately 3,600 students from six middle schools for multiple years to longitudinally explore the promise of P-PBL for developing teachers’ beliefs about problem posing, their beliefs about P-PBL, and their actual instructional practice. We will also investigate students’ learning as measured by problem-posing performance, problem-solving performance, and mathematics disposition. The findings of the project will add not only to the field’s understanding of the promise of supporting teachers to integrate P-PBL into their mathematics instruction, but also to its understanding of the challenges that teachers face when engaging in a networked improvement community that is focused on improving tasks and lessons by integrating P-PBL.

CAREER: Partnering with Teachers and Students to Engage in Mathematical Inquiry about Relevant Social Issues

This project team partners with the mathematics department of one urban public charter high school that serves 65% students of color (most of whom identify as African American). At the school, 70% of all students qualify for free or reduced lunch, and 25% of the students have Individualized Education Plans.

Lead Organization(s): 
Award Number: 
2042975
Funding Period: 
Sat, 05/01/2021 to Thu, 04/30/2026
Full Description: 

Despite efforts to address racial, gender, income-level and other kinds of inequities, disparities persist throughout society in educational, occupational, financial, and healthcare services and opportunities. To work toward societal equity, mathematics teachers have shown increased interest in both improving students’ achievement and supporting students’ ability to use mathematics to analyze these inequities to create change. For instance, a mathematics task may use rate, ratio, and proportion to explore the gender wage gap, and then use functions to explore disparities in earnings over time. Few resources, such as textbooks, coaching protocols, or video examples of classroom teaching, however, exist to support mathematics teachers’ efforts to teach the mathematics content while investigating relevant social issues. In addition, research indicates several dilemmas teachers face in maintaining the cognitive demand of the task, addressing state standards, and improving student agency through such investigations. Research is needed to understand how teachers learn to adapt and implement mathematics tasks that facilitate students’ mathematics learning and investigation of social issues. This project team partners with the mathematics department of one urban public charter high school that serves 65% students of color (most of whom identify as African American). At the school, 70% of all students qualify for free or reduced lunch, and 25% of the students have Individualized Education Plans. This project investigates: 1) how mathematics teachers learn to teach the mathematics content through investigation of relevant social issues, 2) how teachers negotiate classroom dilemmas related to this approach, and 3) how students feel about mathematics and their ability to enact change toward an equitable society. The professional development will be co-designed with mathematics teacher leaders from the school and the research team and will last three years. Teachers will invite students to become advisory board members to center students’ voices and solicit feedback about the relevance of the social issues embedded in the tasks. Classroom videos will be captured to share on a project website for use by mathematics teacher educators and professional development providers. The website will also host mathematics tasks designed through this project for teachers’ use in their own classrooms.

This qualitative, participatory design study partners with the mathematics department to investigate the following research questions: (1) How do teachers learn to adapt mathematics tasks to make them cognitively demanding and socially relevant for their students? How do contextual factors (e.g., specific school context/location/history, student backgrounds, teacher backgrounds, such as race and class) influence teacher learning? (2) What dilemmas become salient and how do teachers negotiate them while implementing the tasks? (3) How do these tasks improve students’ attitudes about mathematics and feelings of empowerment?  In the first year, the research team and two mathematics teacher leaders from the school will co-design the professional development experience focused on designing and implementing mathematics tasks grounded in issues that are socially relevant to students. In years 2-4, the mathematics department will engage in this professional development, with continual input from teacher participants. Participants will create student advisory boards who will offer feedback to teachers about the relevance of the mathematics tasks. Participants will video tape their own classrooms to share brief vignettes (5-8 minutes long) that highlight dilemmas and/or successes for video club sessions as part of the professional development series. Video club sessions offer opportunities to discuss challenges and successes with colleagues and offer peer support. These video clips will also become video case studies, along with the mathematics task and teacher reflections, for use by mathematics teacher educators and professional development providers through a project website. In addition, years 3-4 the project team will develop four detailed classroom case studies, accompanied with coaching support from the research team. To answer research questions 1 and 2 regarding teacher learning and dilemmas, teachers’ perspectives will be captured through professional development artifacts, coaching debriefs, teachers’ written reflections, and one-on-one semi structured interviews. To answer research question 3 regarding student agency and attitudes about mathematics, student sentiments will be explored through student work, open-ended surveys, and focus group interviews with eight focal students per classroom case study. A project website will share mathematics tasks and video cases with the broader community of mathematics educators. Through distribution of such materials, the project aims to offer much-needed resources and supports for mathematics teachers to use cognitively demanding and socially relevant mathematics tasks with their students. The project will also publish peer-reviewed research articles to share findings with the field.

Developing and Researching K-12 Teacher Leaders Enacting Anti-bias Mathematics Education (Collaborative Research: Elliott)

The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program.

Lead Organization(s): 
Award Number: 
2101667
Funding Period: 
Sun, 08/01/2021 to Thu, 07/31/2025
Full Description: 

There is increased recognition that engaging all students in learning mathematics requires an explicit focus on anti-bias mathematics teaching. Teachers, even with positive intentions, have biases, causing them to treat students differently and impacting how they distribute students’ opportunities to learn in K-12 mathematics classrooms. Research is needed to examine models of mathematics teacher professional development that explicitly addresses bias reduction. The goal of this project is to study the design and development of community-centered, job-embedded professional development for classroom teachers that supports bias reduction. The project team will partner with three school districts serving racially, ethnically, linguistically, and socio-economically diverse communities, for a two-year professional development program. The aim is to reduce bias through: analyzing and designing mathematics teaching with colleagues, students, and families to create classrooms and schools based on community-centered mathematics; engaging in anti-bias teaching routines; and building relationships with parents, caretakers, and community members. The project team will study teacher leader professional development, including the professional development model, framework, and tools, along with what teacher leaders across district contexts and grade-levels take up and use in their instructional practice.  This will potentially have wider implications for supporting more equitable mathematics teaching and leadership. Project activities, resources, and tools will be shared with the broader community of mathematics educators and researchers for use in other contexts.

The goal of this two-phase, design based research project is to iteratively design and research teacher leaders’ (TLs) participation in community-centered, job-embedded professional development and investigate their subsequent impact on classrooms, schools, and districts. The project builds on the existing Math Studio professional development model to create a Community Centered Math Studio, integrating the Anti-bias Mathematics Education Framework into the work. The project seeks to understand how the professional development model supports the development of teacher leaders' knowledge, dispositions, and practices for teaching and leading anti-bias mathematics education, and how teachers' subsequent classroom practice can cultivate students' mathematical engagement, discourse, and interests. The project will measure aspects of teacher knowledge and classroom practice by integrating existing classroom observation rubrics and STEM interest surveys to assess the impact on teacher classroom practice and student outcomes. The project will engage 12 TLs and approximately 60 additional teachers working with those TLs in two years of professional development using the Community Centered Math Studio Model to support anti-bias mathematics teaching. Data will be collected for all teachers related to their participation in the professional learning, with six teachers being followed for additional data collection and in-depth case studies. The project's outcomes will contribute to theories of how TLs build adaptive expertise for teaching and leading to reduce bias in classrooms, departments, schools, and districts. In addition, the project will contribute new and adapted research instruments on anti-bias teaching and leading. The research outcomes will add to the growing research base that describes the nature of equitable mathematics teaching in K-12 classrooms and increases access to meaningful mathematics for students, teachers, and communities.

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