IES Blog

Institute of Education Sciences

Training the Next Generation of CTE Researchers: A Conversation with the CTE Research Network

IES funded the Expanding the Evidence Base for Career and Technical Education (CTE) Research Network (CTERN) in FY 2018 in order to increase the quality and rigor of CTE research, specifically by (1) coordinating IES-funded researchers studying CTE using causal designs and (2) training new researchers in causal methods to address CTE-related research questions. In this guest blog, the Network Lead’s PI, Katherine Hughes, and Training Lead, Jill Walston, from the American Institutes for Research (AIR), discuss the evolution of the institute across four years of training supported by the grant and what they learned about the components of effective training, in the hopes of sharing lessons learned for future IES-funded trainings.

About the Summer Training Institute

Each summer since 2020, CTERN has held summer training institute on causal research methods in CTE.  Across four summers, we had 81 trainees, including junior faculty, researchers in state or university research offices or institutes, doctoral students, and researchers in non-profit organizations. During the institutes, we had expert CTE researchers and national and state CTE leaders deliver presentations about CTE history, policies, theories, and recent research.

The major focus of the training was on research designs and statistical methods for conducting research that evaluates the causal impact of CTE policies and practices on student outcomes. The participants learned about conducting randomized controlled trials—considered the gold standard for causal research—as well as two quasi-experimental approaches, regression discontinuity and comparative interrupted time series designs. After presentations about the approaches, students worked with data in small groups to complete data analysis assignments designed to provide practical experience with the kinds of data and analyses common in CTE research. The small groups had dedicated time to meet with one of the instructors to discuss their analyses and interpret findings together. The combination of presentations and practical applications of data analysis with real data, and time in small groups for troubleshooting and discussion with CTE researchers, made for a rich experience that students found engaging and effective. The students received an IES certificate of course completion to mark their accomplishment.

Making Continuous Improvements Based on Lessons Learned

We had a continuous improvement mindset for our summer institute. After each week-long session was completed, the CTE research network director, training coordinator, and instructors met to review their perceptions of the training and most importantly the feedback students provided at the end of the week. We applied the lessons learned to make improvements to the agenda, communications, and student grouping approaches to the plans for the following summer.

Over the course of the four years of the summer institute training, we made a number of adjustments in response to feedback.

  • We continued to offer the institute virtually. The institute was originally intended to be held in person; an earlier blog describes our necessary pivot to the online format. While we could have safely changed to an in-person institute in 2022 and 2023, feedback from our students showed that the virtual institute was more accessible to a geographically diverse group. Many trainees said they would not have even applied to the institute if they would have had to travel, even with a stipend to help cover those costs.
  • We added more time for the students to get to know one another with virtual happy hours. Compared to in-person trainings, virtual trainings lack those natural opportunities for informal communications between students and with instructors that can foster engagement, trust, and joint purpose. While we couldn’t replicate in-person networking opportunities, we were able to improve the experience for the students by being intentional with informal gatherings.
  • We expanded the time for the small groups to meet with their instructors. Students reported that this office hour time was very valuable for their understanding of the material and in interpreting the output of the analyses they ran. We extended this time to optimize opportunities for discussion and problem solving around their data analysis assignments.   
  • We made improvements to the data assignment guidance documents. In the first year, students reported that they spent more time on figuring out initial tasks with the data which left less time for running analyses and interpreting their output. We modified our guidance documents that accompanied the assignments to spell out more explicitly some of the initial steps to shorten the time students spent on set-up and maximize their time doing the important work of coding for the analyses and examining output. We also provided links to resources about the statistical packages used by the students for those that needed time to brush up on their skills before the training began.
  • We doubled down on efforts to stay connected with the trainees and supported ways to have them stay connected to each other. For example, we let them know when CTERN’s researchers are presenting at conferences and invite them to connect with us and each other at these conferences. We’re now organizing a LinkedIn group to try to develop a community for our training alumni.

Our summer training institutes were a great success. We look forward to continuing this opportunity for researchers into the future, with a new version to be offered in the summer of 2025 by the CTE Research Network 2.0.


Jill Walston, Ph.D., is a principal researcher at the American Institutes for Research with more than 20 years of experience conducting quantitative research, developing assessments and surveys, and providing technical support to researchers and practitioners to apply rigorous research and measurement practices. Dr. Walston is the lead for training initiatives for the IES-funded Career and Technical Education Research Network.

Katherine Hughes, Ph.D., is a principal researcher at the American Institutes for Research and the principal investigator and director of the CTE Research Network and CTE Research Network 2.0. Dr. Hughes’ work focuses on career and technical education in high schools and community colleges, college readiness, and the high school-to-college transition.

This blog was produced by Corinne Alfeld (Corinne.Alfeld@ed.gov), a Program Officer in the National Center for Education Research (NCER).

 

Data-Driven Decision-Making in Education: How REL Work Makes a Difference

Photo of a workshop REL Appalachia conducted as part of their Strengthening Students’ Preparation for College and Careers in Northeastern Tennessee partnership
Photo of a workshop REL Appalachia conducted as part of their Strengthening Students’ Preparation for College and Careers in Northeastern Tennessee partnership

The Regional Educational Labs (REL) program, operated by the U.S. Department of Education’s Institute of Education Sciences (IES), supports state education agencies, schools and school districts, and institutions of higher education nationwide in using data and evidence-based practice to improve opportunities and outcomes for learners. Operating in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Territories and Freely Associated States of the Pacific region, the REL program brings together the expertise of local communities, top-tier education researchers, and education scientists at IES’s National Center for Education Evaluation and Regional Assistance (NCEE) to address the most vexing problems of education policy and practice in states and regions—on demand and free of charge.

Data-driven decision-making can be a critical tool to address resource disparities, enhance student success, and promote equitable outcomes. Collecting and analyzing relevant data gives insights into student performance, attendance patterns, disciplinary actions, and more. Rather than relying solely on assumptions or "how we've always done things," educators can use these insights to more effectively tailor policy and practice to better meet the unique needs of their students and communities.

In this third installation of our blog series, we'll explore three case studies showcasing the significance of data-driven decision-making and highlighting the REL Program’s pivotal role in shaping the future of education.

REL Mid-Atlantic: Data-Driven Decision-Making to Improving School Accountability Measures in the Wake of COVID-19

The suspension of standardized testing and accountability measures during the pandemic posed challenges for schools and districts. The interruption in assessments meant there was no baseline data from the 2020-21 school year against which to compare future performance. The sudden shifts between in-person and remote learning, disruptions in curricula, and variations in student participation made it difficult to interpret school performance data and introduced additional instability to school performance indicators. This uncertainty made it more important than ever to ensure that accountability measures were as accurate and reliable as possible to avoid mislabeling schools and educators.

To address these challenges, Pennsylvania's Department of Education (PDE) turned to the expertise of REL Mid-Atlantic. The state recognized the need to reduce measurement error and increase the statistical reliability of performance measures, particularly for subgroups of students, who are critical in identifying schools for targeted support and improvement under the Every Student Succeeds Act (ESSA). REL Mid-Atlantic and PDE embarked on a pioneering effort to use Bayesian statistical methods to reduce random error and stabilize performance measures. One focus was the potential instability that small sizes of student subgroups introduced. By minimizing statistical fluctuations, the new approach aims to ensure that schools are not wrongly identified for improvement based on temporary fluctuations in data. This represents a significant advancement in educational accountability and can have far-reaching implications for how states evaluate school performance.

This innovative work is groundbreaking in multiple ways. It addresses an immediate need to ensure that schools are not unfairly labeled as underperforming due to the unpredictability of data during the pandemic. This helps to maintain the credibility of the accountability system. Moreover, this effort extends beyond the immediate crisis. By introducing more accurate and reliable accountability measures, educators can be more confident that performance evaluations are based on solid, consistent data. This, in turn, can lead to greater buy-in and cooperation from educators and stakeholders.

REL Appalachia: Strengthening Preparation for College and Careers in Northeastern Tennessee

Recently, educators from a consortium of districts in northeastern Tennessee report having experienced a wake-up call when they reflected on their own experience preparing for their own college and careers and compared it with feedback from interviews with current students. Educators learned that students are still facing the same challenges, like not receiving enough guidance on navigating the college application process or finding and applying for scholarships.

Since early 2022, district leaders and staff from the Niswonger Foundation have joined with REL Appalachia in the Strengthening Students Preparation for College and Careers partnership. Together, they reflect on districts’ college and career readiness data and identify improvements to programs and services that better prepare students for life after college. Educators have participated in coaching and technical assistance workshops led by REL Appalachia where they look at quantitative data such as their college enrollment and career technical education (CTE) attainment rates. They have supplemented these numbers with student voices through interviews to better understand the whole picture.

One key takeaway from the analysis of outcome data and student interviews was an increased awareness that everyone in their system has the potential to affect postsecondary trajectories. Partners are now considering what changes they can make to help foster social-emotional preparation for college. For example, one partner stated that these changes could be as simple as having counselors support lunch duty as an opportunity for them to build relationships with students.

With a better understanding of their data on college and career preparation, partners are now asking deeper questions about how they can improve their systems to better support students. In the coming years, REL Appalachia will help the partnership address research questions that will allow them to understand better how their programs and services are strengthening preparation for college and careers.

REL Northwest: Accelerating Literacy Outcomes in Montana Through Evidence and Data Use

Despite having a dedicated leadership team that had implemented multi-tiered systems of support to improve literacy, Laurel Public Schools in Montana faced a pressing challenge: only 50 percent of students in grades 3-8 were proficient in reading. For students from economically disadvantaged backgrounds, this dropped to 25 percent. Moreover, achievement gaps persisted between White students and students from diverse racial and ethnic backgrounds, ranging from 10 to 35 percentage points. The district’s own data made it evident that a significant intervention was needed to uplift literacy instruction and outcomes in the district.

Laurel Public Schools and REL Northwest collaborated to address the immediate issue while creating a sustainable solution that would transform literacy instruction and student outcomes over the long term. Laurel wanted to take a close and critical eye to their existing multi-tiered systems of support in reading (MTSS-R) and revise their practices to align better with evidence-based methods to effectively tailor reading instruction and assessment practices. Their goal was to ensure that classroom instruction and interventions were appropriately differentiated for all learners, leading to improved reading achievement and reduced achievement disparities.

REL Northwest was pivotal in guiding the district toward using data effectively. In the first year of the project, REL Northwest worked with literacy leadership teams at Laurel to create a rubric that asked Laurel educators to reflect on evidence-based practices within their MTSS-R and describe practices in their district that are aligned with evidence-based practices and practices in need of improvement.

Using the data they collected, the literacy leadership teams identified previously undetected problems of practice. For example, while evidence-based targeted Tier 2 reading interventions and processes were in place, the data suggested that teachers skipped these targeted interventions and moved directly to Tier 3, referring struggling readers for special education. To support long-term improvement, the literacy leadership teams have begun work on action and monitoring plans as part of a “Plan-Do-Study-Act” continuous improvement cycle. 

The partnership between Laurel Public Schools and REL Northwest showcases how the partnership between RELs and dedicated state and local leaders can lead to educational transformation. It underscores the power of data as a catalyst for change and highlights the importance of evidence-based practices in driving educational excellence.

Looking Ahead

Data-driven decision-making can help states and districts deliver on their commitments to equity, evidence-based classroom practice, enhanced student outcomes, and informed policymaking. As these case studies demonstrate, the REL program can support these states and districts in effectively harnessing data to shape a brighter future for our students and the whole of our educational system.


This blog was written by Nicassia Belton (Nicassia.Belton@ed.gov), contracting officer’s representative with the REL Program at NCEE.

Celebrating National STEM Day on November 8 and Every Day

IES widely supports and disseminates high-quality research focusing on science, technology, engineering, and mathematics (STEM) through NCER and NCSER. To celebrate National STEM Day on November 8 and every day, we highlight some of the work that NCER and NCSER have supported over the years in the various STEM areas, as well as opportunities for funding future work. Additional information about IES’s investment in STEM education can also be found on our STEM topic page.

Science

  • Researchers developed ChemVLab+ an online chemistry intervention that allows high school students to perform experiments and analyze data in a flexible, multimedia virtual chemistry lab environment. The online modules promote conceptual understanding and science inquiry skills aligned to the Next Generation Science Standards. The chemistry activities are freely available on the project website.
  • Researchers are developing Words as Tools, an intervention for emergent bilingual adolescents that is designed for use in English as a second language classes to promote development of metalinguistic awareness with science vocabulary. The lessons, being developed with a lens of culturally sustaining pedagogy, are intended to help build knowledge of essential science words as well as how words work in science.
  • Researchers are evaluating the efficacy of an integrated science and literacy curriculum (ISLC) designed to engage first grade students in scientific investigations at a level appropriate for young learners. ISLC addresses the challenges of language and literacy development by ensuring that the language of science is brought forward and explicitly addressed in an integrated approach.
  • Through Project MELVA-S, researchers are developing an online formative assessment that measures the science vocabulary knowledge of Latinx bilingual students with different levels of English and Spanish language proficiencies. Results from the assessment can be used to monitor the progress of individual students, help teachers differentiate language and vocabulary instruction, and provide additional science vocabulary supports.

Technology

  • Using The Foos by codeSpark, researchers are exploring computational thinking processes in grades 1 and 3 through a series of classroom-based studies.
  • Researchers are evaluating the efficacy of the CAL-KIBO curriculum, an educational robotics program designed for use with early elementary school-aged students to examine its impact on computational thinking, fluid reasoning, and math achievement.
  • Researchers are systematically investigating how specific features of immersive virtual reality (IVR) can be used to improve student outcomes in science learning. In particular, the researchers are exploring how visual and auditory IVR design features can enhance affective state and cognitive processing in general and for specific subgroups of learners.
  • Researchers are developing and testing TaylorAI, an artificial intelligence formative feedback and assessment system for hands-on science investigations to help build student competence as they engage in laboratory activities.
  • In partnership with the National Science Foundation, IES is co-funding two National Artificial Intelligence (AI) Institutes. Under NCER, the Institute for Inclusive and Intelligent Technologies for Education (INVITE) is developing artificial intelligence (AI) tools and approaches to support behavioral and affective skills (for example, persistence, academic resilience, and collaboration) to improve learning in STEM education. Under NCSER, the AI Institute for Exceptional Education (AI4ExceptionalEd) is using multiple cutting-edge AI methodologies to create the technology to assist speech-language pathologists with identifying students in need of speech and language services and delivering individualized interventions.

Engineering

  • Researchers are developing an innovative teacher professional learning intervention called Elevating Engineering with Multilingual Learners that is intended to help grade 3-5 teachers develop the knowledge and skills they need to effectively teach engineering to English learners and all students through culturally and linguistically responsive pedagogies and engineering instruction.
  • Product developers and researchers are developing and testing NEWTON-AR, an augmented reality (AR) application-based engineering, computer science, and STEM puzzle game for children in kindergarten to grade 3. Intended for use in classrooms, after-school programs, and at home, NEWTON-AR will combine AR, engineering, simulation, making, and programming into a sandbox game where students create, modify, simulate, prototype, and test contraptions to solve puzzle challenges.

Mathematics

  • Researchers have developed and tested for efficacy of Fusion, a first-grade intervention aimed at developing understanding of whole numbers for students at risk for mathematics learning disabilities. It is designed as a program for schools using a multi-tiered approach to instruction that provides increasingly intense levels of instruction based on the results of frequent progress monitoring of students.
  • Researchers tested for efficacy of Pirate Math Equation Quest, a word problem-solving intervention for third grade students with mathematics difficulties, including students with or at risk for mathematics learning disabilities.
  • Researchers assessed the efficacy of Interleaved mathematics practice, an intervention that rearranges math practice problems so that 1) different kinds of math problems are mixed together, which improves learning, and 2) problems of the same kind are distributed across multiple assignments, which improves retention. A new systematic replication study is also now underway to further examine the efficacy of interleaved mathematics practice.
  • Researchers have conducted several impact studies (one conducted with grade 7 students in Maine and replication study conducted in North Carolina) of ASSISTments, a free web-based program that provides immediate feedback to students and teachers on homework. ASSISTments can be used with any commercial or locally developed math curriculum, and teachers can assign "mastery" problem sets that organize practice to facilitate the achievement of proficiency.  

STEM Education Research Funding Opportunities

Research grant funding opportunities focusing on STEM education can be found across several programs and competitions. Currently, there are several active funding opportunities where training or research with a STEM education focus would fit:  

More information on these fundings opportunities can also be found at: https://ies.ed.gov/funding/


This blog was written by Sarah Brasiel (sarah.brasiel@ed.gov), program officer at NCSER and Christina Chhin (christina.chhin@ed.gov), program officer at NCER.

Inspiring Girls to Pursue STEM careers with the Dear Smart Girl Career Exploration Platform

The Department of Education’s Small Business Innovation Research Program (SBIR), which IES administers, funds the research, development, and evaluation of new, commercially viable education technology products. In this guest blog, Abi Olukeye of Smart Girl HQ discusses the inspiration behind her recently completed SBIR project, Dear Smart Girl, and the importance of helping girls envision themselves in STEM Careers.

What is Dear Smart Girl?

Our Dear Smart Girl platform is a learning experience that combines online interactive game-based learning curriculum with offline engaging activity kits and personalized STEM learning recommendations to enable elementary-aged girls achieve STEM career literacy by age 12. Our Dear Smart Girl platform is the only STEM career education platform on the market with an ecosystem of products with a research-driven design featuring age-appropriate, experienced-based informal learning content designed to facilitate STEM discovery, self-efficacy, and fluency for young female-identifying learners.

Through our Dear Smart Girl digital platform, we transform the way girls perceive and engage in STEM learning pathways by providing an innovative multi-stage learning experience.

Learning begins in the whimsical town of Ingenia, where learners are immersed into a digital world that is designed to capture aesthetics and themes that resonate with female-identifying students. Learners begin by selecting a storyline, each of which is associated with a STEM career and features a project-based problem-solving activity. Along the way, students gain new vocabulary and fluency with the subject area being exposed to them. In stage two, learners take their new skills offline and work to complete the real-life version of their game project using our complementary Dear Smart Girl project kit. These two stages of learning combine powerfully to strategically introduce, challenge, and engage young girls in STEM career exploration that builds their confidence and literacy in STEM pathways.

What inspired you to create the Dear Smart Girl platform?

The idea was born out of personal need. I started observing that at about age 3 my daughters were often describing toys and activities as either “boy things” or “girl things.” I was really stunned to see how early biases develop and felt strongly about finding ways to balance out their views. My first instincts were to find more toys and activities that would appeal to them and activities that would expose them broadly. And I fully anticipated that a quick internet search would surface plenty of options. I was so wrong. Not only were there limited options, most of what I found did not appeal to my daughters in terms of type of activity and aesthetics.

Reflecting on my own experience as someone who has a STEM degree and was, at the time, working at a global manufacturing firm leading technical projects, I decided to dive into the research about girls and STEM. I discovered that although women participate equally in the labor force, they only make up 28% of the STEM workforce. In addition, early adolescence tends to be when girls lean away from STEM at a higher rate than their male peers. That inspired me to work with other talented and passionate people to build products and facilitate experiences and help young female-identifying learning achieve STEM career literacy by age 12.

What are the types of STEM careers featured in Dear Smart Girl and why did you choose them?

Our pilot career module is an electrical engineering module, but over the course of the next two years, we are working to add five more game modules featuring chemical science, mechanical engineering, biology, software development and product designer careers. We select careers based on science standards being taught in 4th–7th grade. Our goal is to take topical themes and relate them to their real-world applications while also putting them in the context of the career domains that features the scientific concept and related skills. We also working to align to the National Career Clusters framework, which supports Career Technical Education (CTE) programs. 

What elements of Dear Smart Girl are uniquely tailored to female-identifying students?

We tailor our product to help sustain interest in STEM Career pathways in the following ways.

  • We are intentional about selecting and mapping careers in ways that show real-world relevance. Anecdotally, we find that when learners are excited about what they are building, they are more engaged and motivated to learn the skills needed to accomplish their goal.
  • We optimize our projects to create an experience that is a perfect blend of learning a new technical skill and creative design. According to Microsoft research on closing the STEM gap, 91% of girls describe themselves as creatives. When girls learn about how real-world STEM jobs can be used to help the world, their perception of the creativity and positive impact of STEM careers can more than double.
  • We use beautiful illustrations, colors, and imagery to creative engaging worlds and digital environment rich with representation for diverse female-identifying students.

What advice can you give technology developers who focus on female-identifying students?
For developers working on products designed for female-identifying students, I recommend a collaborative development approach. We co-create every career module we work on with students to get feedback early and often. While it is easy to fall for stereotypical storylines, female-identifying students have diverse needs, interests, and learning styles that should be celebrated with well-designed learning platforms.

What are the next steps for Dear Smart Girl?

We are so excited to have been recently award a phase 2 award to expand and commercialize our career exploration modules. Over next two years, we will develop and launch five additional career modules, expand educator tools, build in extension activities, and launch to CTE programs across the country.


Abi Olukeye is the founder and CEO of Smart Girl HQ, a company dedicated to closing the gender gap for females in the STEM pipeline by increasing the number of positive experiences young girls have with STEM early in their learning journey. Her vision is to create an ecosystem of products that when used together are a powerful catalyst for sustaining long-term engagement in STEM for young girls. Her work has been supported by National Science Foundation and the Department of Education through Small Business Innovation Research (SBIR) Awards, the NC Idea Foundation, and the Vela Education Fund. Abi is the chair of the board of CSEdResearch.org and a past member of the Computer Science K12 Standards Committee for North Carolina. She holds a bachelor’s degree in computer science from Virginia Tech and MBA from Indiana University. She and her husband live in Charlotte, NC and have two young daughters who greatly inspire her work.

This blog was produced by Katina Stapleton (Katina.Stapleton@ed.gov), co-chair of the IES Diversity Council.

The Importance of Collaboration and Support to Improve Working Conditions for Special Education Teachers

Two teachers, one on a tablet and one with a notepad, smile while working together

In February 2023, NCSER hosted a technical working group (TWG) on the Special Education Teacher Workforce to help identify ways research can be used to better prepare, support, and retain an effective K-12 special education teacher workforce. During this meeting, a group of experts on the K-12 special education teacher workforce identified critical problems facing the special education teacher workforce, discussed areas where more research is needed, and highlighted existing data that could be leveraged to better understand the dynamics of and potential solutions to these problems.

TWG members highlighted the lack of collegial and leadership support as one contributing factor to burnout and attrition. Special education teachers often report feeling like they are the only ones in the school taking responsibility and advocating for students with disabilities. This is compounded by the fact that general education teachers and administrators often receive very little training on how to support these students. As such, TWG members highlighted the importance of supportive and collaborative relationships with paraprofessionals, other teachers, and leaders. Several NCSER-funded studies have explored these types of collaborative relationships or developed programs to foster them through mentoring or co-teaching. We summarize some examples of this type of NCSER-funded research below.

To better understand how working conditions, including support from colleagues, affect special education teacher instruction and student reading outcomes, Elizabeth Bettini from Boston University led a research project comprised of several mixed-methods studies. A key finding was that special education teachers who had teaching partners were better able to provide effective instruction because partners can manage significant behavior, which allows teachers to focus on instruction. This type of support was also found to be essential for inclusion, as special educators without sufficient paraprofessional staff struggle to move students who need behavioral supports into general education classes. The PI is currently building upon this research in a new project that is developing a measure, ReSpECT (Revealing Special Educators' Conditions for Teaching), of special education teacher working conditions.

To promote positive outcomes and retention among new special education teachers, Kristi Morin at Lehigh University is leading Project STAY. The purpose of this project is to develop an induction program for teachers of students with autism who are in the first 3 years of their career. In addition to ongoing training, the program includes mentorship from experienced teachers and participation in a network of novice teachers as ways to provide new teachers with instructional and social/emotional support. While this is an ongoing project, IES looks forward to the impact this research will have on new special educators.

To improve collaboration between special education teachers and content-area teachers in addressing literacy needs, Jade Wexler from the University of Maryland, College Park developed CALI (Content-Area Literacy Instruction) professional development. The program is designed to improve literacy instruction in co-taught content area classes by providing teachers with an instructional framework, a planning process to clarify teacher roles, and technical assistance for applying the framework and planning process to their practice. Results of the pilot study revealed that the program led to beneficial outcomes for teachers and students. The project also resulted in resources for teachers, including downloadable CALI materials and a special issue of Intervention in School and Clinic with guidance on how to implement evidence-based literacy practices in content-area classes.

While IES-funded researchers have been hard at work investigating ways to foster productive collaboration and studying its outcomes, there are still many issues affecting the special education teacher workforce that need further study. To address this, the Special Education Research and Development Center Program is accepting grant applications to establish a new K-12 Special Education Teacher Workforce Center, with a deadline of January 11, 2024. The new R&D Center will (1) conduct research on the special education teacher pipeline and the role of specific programs and policies in shaping the special education teacher workforce; (2) provide national leadership to build researcher capacity, improve data collection on the special education teacher workforce, and disseminate findings; and (3) engage in supplemental, just-in-time research and/or national leadership activities based on emerging needs in the field.

This blog was written by Shanna Bodenhamer, virtual student federal service intern at  NCSER and doctoral candidate at Texas A&M University, and Katherine Taylor (Katherine.Taylor@ed,gov), program officer for the projects featured in this article and the contact for the FY 2024 Special Education Research and Development Center Program.