2144027
Project Grant
Overview
Grant Description
Career: Understanding the Routinization of Mathematics Language Routines in Middle and High Schools - This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). This is also funded by the Discovery Research PreK-12 Program (DRK-12) which 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.
Interpreting and analyzing data provides students problems that apply mathematics and statistics to their own experiences. Mathematics teaching about data needs to include opportunities for students to discuss and explain their mathematical reasoning and problem solving. Particularly for data science, students need opportunities to communicate and discuss their ideas. Mathematics teaching requires the ability to support that learning experience with multilingual students and learn to engage all students in mathematical problem solving.
Data science presents a context for middle and high school students to examine data that is personally meaningful and relevant. The project would develop and investigate mathematics language routines focused on data science topics in middle and high school. The study will investigate teachers' use of mathematics language routines and a professional development model to support teachers' learning. The educational integration plan in the project will build mathematics teacher expertise and create video cases to support teacher professional development. Graduate and undergraduate researchers will also have opportunities to learn about education research and mathematics teaching.
The research focuses on core practices of mathematics teaching that are regularly incorporated in teachers' interactions with students. The project uses a studio day model for teachers to have a professional learning experience closely connected to their work and guided by a district instructional specialist. The central concept of the study is the enactment of mathematics language routines (MLRs) in data science. The three research objectives are: (1) to develop professional learning materials organized around MLR studio day cycles for four grade-level vertically articulated professional learning communities; (2) to execute and study professional learning materials organized for grade-level vertically articulated professional learning communities; (3) to understand and document students' and teachers' day-to-day classroom enactments of MLRs to understand their adaptive expertise related to MLRs; and (4) to create educational video case materials for in-service and pre-service teachers on the use of MLRs.
The research activities focus on studying how teachers develop adaptive expertise as they use MLRs, to be able to flexibly use the MLRs. The data collection focuses primarily on qualitative analysis of the professional learning communities, studio days, classroom observations, and artifacts of the mathematics learning routines. The data analysis uses an adaptive expertise framework to interpret and describe the teachers' learning and enactment of the mathematics language routines. The educational activities attend to video case materials developed using research materials.
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.
Interpreting and analyzing data provides students problems that apply mathematics and statistics to their own experiences. Mathematics teaching about data needs to include opportunities for students to discuss and explain their mathematical reasoning and problem solving. Particularly for data science, students need opportunities to communicate and discuss their ideas. Mathematics teaching requires the ability to support that learning experience with multilingual students and learn to engage all students in mathematical problem solving.
Data science presents a context for middle and high school students to examine data that is personally meaningful and relevant. The project would develop and investigate mathematics language routines focused on data science topics in middle and high school. The study will investigate teachers' use of mathematics language routines and a professional development model to support teachers' learning. The educational integration plan in the project will build mathematics teacher expertise and create video cases to support teacher professional development. Graduate and undergraduate researchers will also have opportunities to learn about education research and mathematics teaching.
The research focuses on core practices of mathematics teaching that are regularly incorporated in teachers' interactions with students. The project uses a studio day model for teachers to have a professional learning experience closely connected to their work and guided by a district instructional specialist. The central concept of the study is the enactment of mathematics language routines (MLRs) in data science. The three research objectives are: (1) to develop professional learning materials organized around MLR studio day cycles for four grade-level vertically articulated professional learning communities; (2) to execute and study professional learning materials organized for grade-level vertically articulated professional learning communities; (3) to understand and document students' and teachers' day-to-day classroom enactments of MLRs to understand their adaptive expertise related to MLRs; and (4) to create educational video case materials for in-service and pre-service teachers on the use of MLRs.
The research activities focus on studying how teachers develop adaptive expertise as they use MLRs, to be able to flexibly use the MLRs. The data collection focuses primarily on qualitative analysis of the professional learning communities, studio days, classroom observations, and artifacts of the mathematics learning routines. The data analysis uses an adaptive expertise framework to interpret and describe the teachers' learning and enactment of the mathematics language routines. The educational activities attend to video case materials developed using research materials.
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.
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "FACULTY EARLY CAREER DEVELOPMENT PROGRAM", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF20525
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Santa Barbara,
California
93101-2232
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
COVID-19 $384,752 (30%) percent of this Project Grant was funded by COVID-19 emergency acts including the American Rescue Plan Act of 2021.
Amendment Since initial award the total obligations have increased 229% from $384,752 to $1,264,440.
Amendment Since initial award the total obligations have increased 229% from $384,752 to $1,264,440.
Santa Barbara University Of California was awarded
Project Grant 2144027
worth $1,264,440
from the Division of Research on Learning in Formal and Informal Settings in July 2022 with work to be completed primarily in Santa Barbara California United States.
The grant
has a duration of 5 years and
was awarded through assistance program 47.076 Education and Human Resources.
The Project Grant was awarded through grant opportunity Faculty Early Career Development Program.
Status
(Ongoing)
Last Modified 5/20/26
Period of Performance
7/1/22
Start Date
6/30/27
End Date
Funding Split
$1.3M
Federal Obligation
$0.0
Non-Federal Obligation
$1.3M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2144027
Additional Detail
Award ID FAIN
2144027
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
491109 DIV OF RESEARCH ON LEARNING IN
Funding Office
491109 DIV OF RESEARCH ON LEARNING IN
Awardee UEI
G9QBQDH39DF4
Awardee CAGE
4B561
Performance District
CA-24
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| STEM Education, National Science Foundation (049-0106) | General science and basic research | Grants, subsidies, and contributions (41.0) | $436,603 | 100% |
Modified: 5/20/26