IES Blog

Institute of Education Sciences

Lessons Learned as the Virginia Education Science Training (VEST) Program Creates Pathways for Diverse Students into Education Science

Since 2004, the Institute of Education Sciences has funded predoctoral training programs to increase the number of well-trained PhD students who are prepared to conduct rigorous and relevant education research. In addition to providing training to doctoral students, all IES-funded predoctoral programs are encouraged to help broaden participation in the education sciences as part of their leadership activities. In this guest blog post, the leadership team of the University of Virginia predoctoral training program discusses their continuing efforts to create diverse pathways for students interested in education research.

In 2008, the IES-funded Virginia Education Science Training (VEST) Program began the Summer Undergraduate Research Program (SURP) with the goal of recruiting more students from traditionally marginalized groups into education science research. Each year, 8–10 students from around the United States traveled to receive faculty mentorship in independent research at the University of Virginia. In doing so, they experienced facilitated opportunities to develop new research skills and reflect about their own identities as scholars and students of color, first generation college students and/or students from families with low income. They became active members of research groups, visited IES program officers in Washington, DC, and presented their own research at the Leadership Alliance National Symposium.

Quite fortuitously, at an IES principal investigator meeting, we connected with the leadership of the IES-funded Research Institute for Scholars of Equity (RISE) program taking place at North Carolina Central University (NCCU). As a result, for four years, we collaborated with RISE leadership to host two-day RISE fellow visits to UVA. During these visits RISE fellows shared their projects and ideas with VEST fellows and faculty. The RISE and SURP fellows also mingled and attended workshops on graduate school admissions.

We had three goals for these efforts:

  • Provide IES pre-doctoral fellows with the opportunity to apply leadership skills to working with undergraduates
  • Increase the diversity of education scientists
  • Increase the diversity of our IES-sponsored PhD program

Enter COVID. In 2020, bringing students to UVA for the summer wasn’t feasible or wise. Instead, we reflected on our past successful experiences with NCCU and realized we could improve the quality of student experiences if we also worked closely with faculty at other universities. To start, we engaged with Virginia State University (VSU) and Norfolk State University (NSU), two Virginia HBCUs, to create the Open Doors Program.

Initially, eight faculty and administrators from NSU and VSU met with the UVA team, which included a post-doctoral fellow and a PhD student who coordinated discussions, helped design the curriculum, and built an Open Doors handbook. The design team built a program in which 12 rising juniors at NSU and VSU would:

  • Engage in the research and writing process that will lead to a research product and presentation that reflects their strengths, interests, and goals
  • Gain a deeper understanding of the opportunities available to them in graduate school
  • Have the opportunity to examine the complexities and multiple layers of their intersectional identities, identify assets and cultural wealth, and identify academic strengths and areas of growth
  • Build relationships with faculty and graduate student mentors

Due to the pandemic, the program was offered virtually over four weeks with a combination of seminars and mentoring sessions. The program exceeded our expectations. The students all indicated that Open Doors was a useful learning experience for them and provided them with a better understanding of the opportunities available in graduate school. The faculty valued the opportunity to work with each other. We will be offering Open Doors 2.0 next June with another cohort of 12 students from NSU and VSU. We learned a lot from our first year and have planned several modifications to the program. For example, this year, we anticipate that students and some NSU and VSU faculty will be on campus at UVA for two of the four weeks; the other two weeks will be virtual.

These efforts have been true learning experiences for UVA faculty and VEST fellows. We have several recommendations for other programs eager to create pathways programs.

  • Clarify your goals and organize the program around the key outcomes that you are trying to achieve. For SURP and Open Doors, we focused in on four outcomes: preparation to conduct education research, preparation for graduate school, expansion of networks, and providing access to new mentoring relationships.
  • Teach skills as well as knowledge. Our evaluation of SURP points to the importance of teaching skills so students can formulate research questions, recognize research designs, analyze and interpret data, and write about research. Students reported gaining skills in these areas which are critical to success in graduate school in education research.
  • Identify ways to enhance cultural capital. Students benefit from knowledge, familiarity, and comfort with university life. In Open Doors, we wanted to build an authentic collaboration that allowed faculty, graduate students, and undergraduate students at the HBCUs and UVA to learn from each other, extending the cultural capital of all participants.

Our efforts have been exciting yet humbling. Above all, we enjoy listening to and learning from the SURP and Open Doors students. In Open Doors, we also enjoyed building relationships with faculty at other institutions. We have increasingly become aware of the challenges we face in efforts to increase the diversity of our programs. Recruitment is just a first step. Creating graduate school experiences that are conducive to learning and engagement for students from diverse group is an important second step. And a third critical step is to transform life at our universities so that students (and faculty) from traditionally marginalized groups can thrive and flourish. In doing so, we expect that universities will be better able to meet a full range of new challenges that lie ahead in education science.

 


Sara Rimm-Kaufman is the Commonwealth Professor of Education in the Educational Psychology-Applied Developmental Science program at the University of Virginia School of Education and Human Development.

Jim Wyckoff is the Memorial Professor of Education and Public Policy in the Education Policy program and directs the Center on Education Policy and Workforce Competitiveness at the University of Virginia.

Jamie Inlow is the Coordinator for the VEST Predoctoral Training Program in the University of Virginia School of Education and Human Development.

This blog post is part of an ongoing series featuring IES training programs as well as our blog series on diversity, equity, inclusion, and accessibility (DEIA) within IES grant programs.

Produced by Katina Stapleton (Katina.Stapleton@ed.gov), co-Chair of the IES Diversity and Inclusion Council and predoctoral training program officer.

Student-Led Action Research as a School Climate Intervention and Core Content Pedagogy

Improving the social and emotional climate of schools has become a growing priority for educators and policymakers in the past decade. The prevailing strategies for improving school climate include social and emotional learning, positive behavioral supports, and trauma-informed approaches. Many of these strategies foreground the importance of students having a voice in intervention, as students are special experts in their own social and emotional milieus.

Parallel to this trend has been a push toward student-centered pedagogical approaches in high schools that are responsive to cultural backgrounds and that promote skills aligned with the demands of the modern workplace, like critical thinking, problem-solving, and collaboration. Culturally responsive and restorative teaching and problem- and project-based learning are prominent movements. In this guest blog, Dr. Adam Voight at Cleveland State University discusses an ongoing IES-funded Development and Innovation project taking place in Cleveland, Ohio that aims to develop and document the feasibility of a school-based youth participatory action research intervention.

 

Our project is exploring how youth participatory action research (YPAR) may help to realize two objectives—school climate improvement and culturally-restorative, engaged learning. YPAR involves young people leading a cycle of problem identification, data collection and analysis, and evidence-informed action. It has long been used in out-of-school and extracurricular spaces to promote youth development and effect social change. We are field testing its potential to fit within more formal school spaces.

Project HighKEY

The engine for our project, which we call Project HighKEY (High-school Knowledge and Education through YPAR), is a design team composed of high school teachers and students, district officials, and university researchers. It is built from the Cleveland Alliance for Education Research, a research-practice partnership between the Cleveland Metropolitan School District, Cleveland State University, and the American Institutes for Research. The design team meets monthly to discuss YPAR theory and fit with high school curriculum and standards and make plans for YPAR field tests in schools. We have created a crosswalk of the documented competencies that students derive from YPAR and high school standards in English language arts (ELA), mathematics, science, and social studies in Ohio. For example, one state ELA standard is “Write arguments to support claims in an analysis of substantive topics or texts, using valid reasoning and relevant and sufficient evidence,” and through YPAR students collect and analyze survey and interview data and use their findings to advocate for change related to their chosen topic. A state math standard is “Interpret the slope and the intercept of a linear model in the context of data,” and this process may be applied to survey data students collect through YPAR, making an otherwise abstract activity more meaningful to students.  

Assessing the Effectiveness of YPAR

Remaining open-minded about the various ways in which YPAR may or may not fit in different high school courses, we are currently testing its implementation in a pre-calculus course, a government course, an English course, and a life-skills course. For example, a math teacher on our design team has built her statistics unit around YPAR. Students in three separate sections of the course have worked in groups of two or three to identify an issue and create a survey that is being administered to the broader student body. These issues include the lack of extracurricular activities, poor school culture, and unhealthy breakfast and lunch options. Their survey data will be used as the basis for learning about representing data with plots, distributions, measures of center, frequencies, and correlation after the winter holiday. Our theory is that students will be more engaged when using their own data on topics of their choosing and toward the goal of making real change. Across all of our project schools, we are monitoring administrative data, student and teacher survey data, and interview data to assess the feasibility, usability, and student and school outcomes of YPAR.

Impact of COVID-19 and How We Adapted

We received notification of our grant award in March 2020, the same week that COVID-19 shut down K-12 schools across the nation. When our project formally began in July 2020, our partner schools were planning for a wholly remote school year, and we pivoted to hold design team meetings virtually and loosen expectations for teacher implementation. Despite these challenges, several successful YPAR projects during that first year—all of which were conducted entirely remotely—taught all of us much about how YPAR can happen in online spaces. This school year, students and staff are back to in-person learning, but, in addition to the ongoing pandemic, the crushing teacher shortage has forced us to continue to adapt. Whereas we once planned our design team meeting during the school day, we now meet after school due to a lack of substitute teachers, and we use creative technology to allow for mixed virtual and in-person attendance. Our leadership team is also spending a great deal of time in classrooms with teachers to assist those implementing for the first time. Our goal is to create a resource that teachers anywhere can use to incorporate YPAR into their courses. The product will be strengthened by the lessons we have learned from doing this work during these extraordinary times and the resulting considerations for how to deal with obstacles to implementation.


Adam Voight is the Director of the Center for Urban Education at Cleveland State University.

For questions about this grant, please contact Corinne Alfeld, NCER Program Officer, at Corinne.Alfeld@ed.gov.

Education at a Glance 2021: Putting U.S. Data in a Global Context

International comparisons provide reference points for researchers and policy analysts to understand trends and patterns in national education data and are important as U.S. students compete in an increasingly global economy.

Education at a Glance, an annual publication produced by the Organization for Economic Cooperation and Development (OECD), provides data on the structure, finances, and performance of education systems in 38 OECD countries, including the United States, as well as a number of OECD partner countries. The report also includes state-level information on key benchmarks to inform state and local policies on global competitiveness.

The recently released 2021 edition of the report shows that the United States is above the international average on some measures, such as participation in and funding of postsecondary education, but lags behind in others, such as participation in early childhood education programs. The report also presents some initial comparisons on countries’ responses to the COVID-19 pandemic.

Postsecondary Educational Attainment

The percentage of U.S. 25- to 34-year-olds with a postsecondary degree increased by 10 percentage points between 2010 and 2020, reaching 52 percent, compared with the OECD average of 45 percent (figure 1). Attainment rates varied widely across the United States in 2020, from 33 percent for those living in Nevada to 61 percent for those living in Massachusetts and 77 percent for those living in the District of Columbia.


Figure 1. Percentage of 25- to 34-year-olds with a postsecondary degree, by Organization for Economic Cooperation and Development (OECD) country: 2020

1 Year of reference differs from 2020. Refer to the source table for more details.
SOURCE: OECD (2021), Table A1.2. See Source section for more information and Annex 3 for notes.


In the United States in 2020, 25- to 34-year-old women were more likely than 25- to 34-year-old men to attain a postsecondary education: 57 percent of women had a postsecondary qualification, compared with 47 percent of men, a difference of 10 percentage points. Across OECD countries, the postsecondary education gap between 25- to 34-year-old men and women was wider (13 percentage points) than the gap in the United States (10 percentage points). In 2020, the postsecondary attainment rate of 25- to 34-year-old men in the United States was 8 percentage points higher than the OECD average, whereas the rate of 25- to 34-year-old women in the United States was 5 percentage points higher than the OECD average.

Postsecondary Education Spending

U.S. spending on postsecondary education is also relatively high compared with the OECD average, in both absolute and relative terms. The United States spent $34,036 per postsecondary student in 2018, the second-highest amount after Luxembourg and nearly double the OECD average ($17,065). Also, U.S. spending on postsecondary education as a percentage of GDP (2.5 percent) was substantially higher than the OECD average (1.4 percent). These total expenditures include amounts received from governments, students, and all other sources.

Early Childhood Education

The level of participation in early childhood education programs in the United States is below the OECD average and falling further behind. Between 2005 and 2019, average enrollment rates for 3- to 5-year-olds across OECD countries increased from 77 to 87 percent. In contrast, the rate in the United States remained stable at 66 percent during this time period. Among U.S. states, the 2019 enrollment rates for 3- to 5-year-olds ranged from less than 50 percent in Idaho and North Dakota to 70 percent or more in New York (70 percent), Vermont (76 percent), Connecticut (76 percent), New Jersey (77 percent), and the District of Columbia (88 percent).

COVID-19 Pandemic

Education at a Glance also presents a first look at countries’ responses to the COVID-19 pandemic. The spread of COVID-19 impeded access to in-person education in many countries around the world in 2020 and 2021. By mid-May 2021, 37 OECD and partner countries had experienced periods of full school closure since the start of 2020.

Despite the impact of the crisis on employment, the share of NEETs (those neither in employment nor education or training) among 18- to 24-year-olds did not greatly increase in most OECD and partner countries during the first year of the COVID-19 crisis. On average, the share of 18- to 24-year-old NEETs in OECD countries rose from 14.4 percent in 2019 to 16.1 percent in 2020. However, Canada, Columbia, and the United States experienced an increase of more than 4 percentage points. In the United States, the share of 18- to 24-year-old NEETs increased from 14.6 percent in 2019 to 19.3 percent in 2020.

In 2020, many postsecondary education institutions around the world closed down to control the spread of the COVID-19 pandemic, potentially affecting more than 3.9 million international and foreign students studying in OECD countries. Early estimates show the percentage of international students attending postsecondary institutions in the United States declined by 16 percent between 2020 and 2021.

Browse the full report to see how the United States compares with other countries on these and other important education-related topics and learn more about how other countries’ education systems responded to the COVID-19 pandemic.

 

By Rachel Dinkes, AIR

New Report on the Effects of the Coronavirus Pandemic on Undergraduate Student Experiences in Spring 2020

NCES recently released a report on the experiences of undergraduate students early in the COVID-19 pandemic. The report uses early release data from the 2019–20 National Postsecondary Student Aid Study (NPSAS:20) to describe how the pandemic disrupted students’ enrollment, housing, and finances in the spring of 2020. It also discusses how institutions helped students with these issues.

NPSAS:20 student surveys started in March 2020, and items about the COVID-19 pandemic were added in April 2020 to collect information about the effects of the pandemic on students’ educational experiences between January 1 and June 30, 2020. These early release data do not include students who answered before the pandemic questions were added. The data show that 87 percent of students had their enrollment disrupted or changed during this time. Students who experienced disruptions may have withdrawn or taken a leave of absence, had an extended school break, had changes made to their study-abroad program, or had classes cancelled or moved online.

Twenty-eight percent of students had a housing disruption or change, and 40 percent had a financial disruption or change. Students who had a housing disruption had to move or had difficulty finding safe and stable housing. Students who had a financial disruption may have lost a job or income or may have had difficulty getting food; they may have also received financial help from their postsecondary institutions.

The report also provides information about the experiences of students with different characteristics. For example, students with Pell Grants had a similar rate of enrollment disruption (87 percent) as those without them (88 percent). Those with Pell Grants had a lower rate of housing disruption (23 percent) than those without them (31 percent). However, they had a higher rate of financial disruption (48 percent) than their peers without Pell Grants (34 percent).


Figure 1. Percentage of undergraduates who experienced enrollment, housing, or financial disruptions or changes at their institution due to the COVID-19 pandemic, by Pell Grant recipient status: Spring 2020

SOURCE: U.S. Department of Education, National Center for Education Statistics, 2019–20 National Postsecondary Student Aid Study (NPSAS:20, preliminary data).


The final NPSAS:20 raw data will be available in late 2022. Sign up for the IES Newsflash to receive announcements about NCES data products.

 

By Tracy Hunt-White

Students’ Internet Access Before and During the Coronavirus Pandemic by Household Socioeconomic Status

The pandemic has focused attention on the resources needed for students to engage equitably in educational opportunities, particularly during remote learning. While access to computers and the internet were important to education prior to the pandemic—as tools for word processing, research, and communication after school hours, or even as the primary means of schooling—they became essential tools for students to remain engaged during the 2020–21 academic year. Reflecting this importance both before and during the pandemic, recent NCES blogs have highlighted data on virtual schools and geographic differences in digital access. This blog presents additional insight on these topics from the Condition of Education 2021. Specifically, it highlights patterns of inequity in access to educational technology by socioeconomic status, both before and during the coronavirus pandemic.

Before the Coronavirus Pandemic

According to the American Community Survey (ACS),1 the higher the level of parental educational attainment, the higher the percentage of 3- to 18-year-olds with home internet access in 2019. For instance, the percentage with home internet access was highest for those whose parents had attained a bachelor’s or higher degree (99 percent) and lowest for those whose parents had less than a high school credential (83 percent) (figure 1).

Similarly, the higher the level of family income, the higher the percentage of 3- to 18-year-olds with home internet access in 2019. Specifically, the percentage with home internet access was highest for those in families in the highest income quarter (99 percent) and lowest for those in families in the lowest income quarter (89 percent) (figure 1).2


Figure 1. Percentage of 3- to 18-year-olds with home internet access and home internet access only through a smartphone, by parental education and family income quarter: 2019

1 Includes those who completed high school through equivalency credentials, such as the GED.
NOTE: Includes only 3- to 18-year-olds living in households (respondents living in group quarters such as shelters, healthcare facilities, or correctional facilities were not asked about internet access). Includes 3- to 18-year-olds who had home internet access only through a smartphone but did not have any of the following types of computers: desktop or laptop, tablet or other portable wireless computer, or “some other type of computer.” Although rounded numbers are displayed, the figures are based on unrounded data.
SOURCE: U.S. Department of Commerce, Census Bureau, American Community Survey (ACS), 2019. See Digest of Education Statistics 2020, table 702.12.


While internet access is nearly universal in the United States (95 percent of all 3- to 18-year-olds had access in 2019), not all families access the internet the same way. Specifically, 88 percent had access through a computer,3 and 6 percent relied on a smartphone for their home internet access.4,5

In 2019, the higher the level of parental educational attainment, the lower the percentage of 3- to 18-year-olds who relied on a smartphone for their home internet access. Similarly, the higher the level of family income, the lower the percentage of 3- to 18-year-olds who relied on a smartphone for their home internet access. For instance, the percentage who relied on a smartphone for their home internet access was lowest for those in families in the highest income quarter (1 percent) and highest for those in families in the lowest income quarter (14 percent) (figure 1).

Taken together with the patterns for overall home internet access, these findings reveal that access only through a smartphone is generally more common for groups with lower rates of internet access overall. Importantly, although smartphones can be useful tools for staying connected, they offer more limited functionality for applications such as word processing or interactive learning platforms. In other words, overall levels of internet access mask further inequities in mode of access, which have implications for whether/how the internet can be used as an educational tool.

During the Coronavirus Pandemic

As students moved en masse to online learning during the pandemic, access to internet-connected devices became a requirement for students to participate effectively in their new learning environments. The pre-pandemic data described above suggest that not all students would have been in a position to take advantage of these remote classrooms, and that this would be true of a higher percentage of students whose parents had lower incomes or lower levels of educational attainment.  

Some schools and districts helped students meet these needs by providing computers or paying for home internet access. Data from the Household Pulse Survey (HPS) show that 59 percent of adults6 with children in the home enrolled in school7 reported that computers were provided by their school or district. This percentage was generally higher for those with lower 2019 household incomes, ranging from 68 percent for adults with household incomes below $25,000 to 50 percent for adults with household incomes over $150,000 (figure 2). A similar pattern was observed for internet access. Overall, 4 percent of adults said internet access was paid for by their students’ district or school, ranging from 8 percent for adults in the lowest household income range to about 1 percent for those in the highest household income range. These patterns are consistent with higher rates of assistance going to families with higher rates of expected need (as indicated in figure 1).


Figure 2. Among adults 18 years old and over who had children under 18 in the home enrolled in school, percentage reporting that computers and internet access were always or usually available and provided or paid for by schools or school districts, by income level: September 2 to 14, 2020

NOTE: Although rounded numbers are displayed, the figures are based on unrounded data. Data in this figure are considered experimental and do not meet NCES standards for response rates. The survey question refers to enrollment at any time during the 2020–21 school year.
SOURCE: U.S. Department of Commerce, Bureau of the Census, Household Pulse Survey, collection period of September 2 to 14, 2020. See Digest of Education Statistics 2020, tables 218.85 and 218.90.


Even with this assistance from schools and districts, however, socioeconomic inequalities in students’ access to computers and internet were not eliminated. In general, the percentage of adults who reported that these resources were always or usually available increased with household income. For example, in September 2020, the percentage of adults reporting that computers were always or usually available was highest for the two household income levels at or above $100,000 and lowest for the two household income levels below $50,000. Similarly, the percentage of adults reporting that internet access was always or usually available was higher for the three household income levels at or above $75,000 than for the three household income levels below $75,000.

Both before and during the pandemic, these data show that overall access to education technology in the United States is high. This access is bolstered by widespread access to mobile devices like smartphones and—at least during the 2020–21 academic year—by resources provided by students’ schools and districts, particularly for students from lower socioecnomic backgrounds. Nevertheless, inequalities persist. As the prevalence of technology in education grows, it will be important to continue to track equity not only in access but also in quality of access and frequency and competency of use.

Explore the following resources to learn more about students’ access to, use of, and competency with education technology.

General

Access

  • Condition of Education 2021

Use

Competency

 

By Véronique Irwin, NCES


[1] The American Community Survey (ACS) provides a large monthly sample of demographic, socioeconomic, and housing data comparable in content to the Long Forms of the Decennial Census. Aggregated over time, these data serve as a replacement for the Long Form of the Decennial Census. This section of the blog post uses data from ACS to describe the percentage of 3- to 18-year-olds with home internet access and the percentage with home internet access only through a smartphone in 2019.

[2] The highest quarter refers to the top 25 percent of all family incomes; the middle-high quarter refers to the 51st through the 75th percentile of all family incomes; the middle-low quarter refers to the 26th through the 50th percentile of all family incomes; and the lowest quarter refers to the bottom 25 percent of all family incomes.

[3] Refers to the percentage of 3- to 18-year-olds with home internet access through one or more of the following types of computers: desktop or laptop, tablet or other portable wireless computer, or “some other type of computer.” Includes homes having both smartphones and any of these types of computers.

[4] Refers to the percentage of 3- to 18-year-olds who had home internet access only through a smartphone but did not have any of the types of computers listed in endnote 3.

[5] Detail does not sum to totals because of rounding.

[6] The Household Pulse Survey, conducted by the Census Bureau and other agencies including NCES, gathers information from adults about household educational activities (as well as other topics). Because the data focus on adults, findings from HPS are not directly comparable to those from ACS mentioned above.

[7] According to HPS data, 52 million adults had children under age 18 in the home enrolled in school in September 2020. Overall, two-thirds (67 percent) of these adults reported that classes for their children had moved to a distance learning format using online resources.