IES Blog

Institute of Education Sciences

Connecting to Place and People: How My Experiences with Native American Communities Motivate My Work

This year, Inside IES Research is publishing a series of blogs showcasing a diverse group of IES-funded education researchers and fellows that are making significant contributions to education research, policy, and practice. In this guest blog, Dr. Tabitha Stickel, a second-year postdoctoral research fellow at the Georgia State University (GSU) Postdoctoral Training on Adult Literacy (G-PAL) program shares her experiences working with adult education programs in Native American tribal lands and how it has shaped her work and purpose.

Entering Adult Education: Connection to the Land and Peoples of the Southwest

Prior to graduate school, I found work as an adult education teacher at a rural, southwestern community college in the traditional lands of the Diné (Navajo), the Hopi, and the Ndee (Western Apache). This college, which served the indigenous communities, was set in the short-grass prairies, spotted with juniper trees in a land that seemed silent and empty to the untrained eye. But the land was full of life and opportunity, and the students I met gave me new appreciation for the opportunities adult education could provide.

As an adjunct faculty in an adult basic and developmental education program, I traveled several hours each week to teach classes on the Diné and Hopi tribal lands. I was immediately struck by the students’ dedication to their education and personal goals—to be the first in their families to earn a college degree, help their children or grandchildren with homework, find or keep employment, and/or fulfill the promise of completing high school made to themselves or others. 

Challenges in Adult Education for Rural Students

Despite this dedication, adult students face a variety of barriers to attending classes. Adult students often must contend with the challenges of caretaking, work, and transportation—a perennial problem for rural students, as there is no public transportation. Some students were able to carpool, and some of the tribes arranged vans to transport the “closer” students to the campus.

Even when faced with such challenges, students showed up each week. I had students without electricity at home who used their cell phones to access class materials, one of many such examples of the digital divide in rural areas. I had a student who made burritos each week and sold them to raise money for a desk for her schoolwork. These students drove my passion for my work. When students overcome incredible odds for their education, how can an educator do anything other than rise to meet them? Earning an education credential, such as a high school equivalency, could have far-reaching positive outcomes for the students and their families. 

What My Students Taught Me

In addition to learning about the challenges and rewards adult learners face, I also learned the importance of listening to students and checking assumptions. For instance, I had a GED student who was chronically late. One day, I called her because I was frustrated that she was over an hour late, only to learn that she was on her way. In fact, she was walking more than 20 miles to come to class. She had been unable to hitch-hike to class as she normally would. I was completely humbled in that moment and realized that my assumptions were keeping me from understanding her. She ended up earning her GED a month later.

When my students shared their stories, I learned how their lived experiences—including the very land on which they lived—shaped them. When I began to truly listen to these stories and understand their importance, I became a better teacher. And I knew that these stories deserved to be heard and answered with more than I could offer as a single teacher.

Moving Between Two Worlds: Research and Practice

My experiences in the southwest prompted me to attend graduate school and research how to understand, empower, and teach adult learners. In general, however, there is insufficient research on adult education within and for certain populations. I wanted help to address this gap, so I centered my work on identifying culturally relevant themes of belonging for Native adult education students to explore the various pathways along which student belonging might develop.

In 2020, I returned to the adult education program I had worked in to gather stories from the students for my dissertation. I found student stories became intertwined with the pandemic and revealed the extent of the devastation the COVID-19 pandemic was having on the Native American communities and students’ sense of belonging. COVID-19 was making it more difficult for students to balance attending class and providing for their families. It was also making the digital divide even more apparent—as adult education programs transitioned to remote instruction, students had to navigate the realities of participating and belonging in the digital sphere. I further explore these themes in the Coalition on Adult Basic Education’s (COABE) forthcoming special issue on COVIDs effects on adult students.

As with other challenges, these Native communities and students continued to survive and thrive despite the tragedies of COVID-19. The students and staff in the adult education programs in these tribal communities deserve all the recognition in the world for their dedication, their creativity in addressing ever-present and ever-arising challenges, and their persistence.

My own commitment to this endeavor led me to become a postdoctoral fellow in the Georgia State University (GSU) Postdoctoral Training on Adult Literacy (G-PAL) program. I hope to soon return to the land and communities that have so integrally changed my life.  

Although I may return with more knowledge of the adult education field and how to facilitate classroom learning, I will occupy not just a “teacher” role but a student one as well, as I have much to learn from the lands, the people, and the experiences they inevitably shape.


Produced by Meredith Larson (Meredith.Larson@ed.gov), a program officer for IES Postdoctoral Training grants and Postsecondary and Adult Education research at NCER.

Knock, Knock! Who’s There? Understanding Who’s Counted in IPEDS

The Integrated Postsecondary Education Data System (IPEDS) is a comprehensive federal data source that collects information on key features of higher education in the United States, including characteristics of postsecondary institutions, college student enrollment and academic outcomes, and institutions’ employees and finances, among other topics.

The National Center for Education Statistics (NCES) has created a new resource page, Student Cohorts and Subgroups in IPEDS, that provides data reporters and users an overview of how IPEDS collects information related to postsecondary students and staff. This blog post highlights key takeaways from the resource page.

IPEDS survey components collect counts of key student and staff subgroups of interest to the higher education community.

Data users—including researchers, policy analysts, and prospective college students—may be interested in particular demographic groups within U.S. higher education. IPEDS captures data on a range of student and staff subgroups, including race/ethnicity, gender, age categories, Federal Pell Grant recipient status, transfer-in status, and part-time enrollment status.

The Outcome Measures (OM) survey component stands out as an example of how IPEDS collects student subgroups that are of interest to the higher education community. Within this survey component, all entering degree/certificate-seeking undergraduates are divided into one of eight subgroups by entering status (i.e., first-time or non-first-time), attendance status (i.e., full-time or part-time), and Pell Grant recipient status.

Although IPEDS is not a student-level data system, many of its survey components collect counts of students and staff by subgroup.

Many IPEDS survey components—such as Admissions, Fall Enrollment, and Human Resources—collect data as counts of individuals (i.e., students or staff) by subgroup (e.g., race/ethnicity, gender) (exhibit 1). Other IPEDS survey components—such as Graduation Rates, Graduation Rates 200%, and Outcome Measures—also include selected student subgroups but monitor cohorts of entering degree/certificate-seeking students over time to document their long-term completion and enrollment outcomes. A cohort is a specific group of students established for tracking purposes. The cohort year is based on the year that a cohort of students begins attending college.


Exhibit 1. IPEDS survey components that collect counts of individuals by subgroup

Table showing IPEDS survey components that collect counts of individuals by subgroup; column one shows the unit of information (student counts vs. staff counts); column two shows the survey component


IPEDS collects student and staff counts by combinations of interacting subgroups.

For survey components that collect student or staff counts, individuals are often reported in disaggregated demographic groups, which allows for more detailed understanding of specific subpopulations. For example, the Fall Enrollment (EF) and 12-month Enrollment (E12) survey components collect total undergraduate enrollment counts disaggregated by all possible combinations of students’ full- or part-time status, gender, degree/certificate-seeking status, and race/ethnicity. Exhibit 2 provides an excerpt of the EF survey component’s primary data collection screen (Part A), in which data reporters provide counts of students who fall within each demographic group indicated by the blank cells.


Exhibit 2. Excerpt of IPEDS Fall Enrollment (EF) survey component data collection screen for full-time undergraduate men: 2022­–23

[click image to enlarge]

Image of IPEDS Fall Enrollment survey component data collection screen for full-time undergraduate men in 2022–23

NOTE: This exhibit reflects the primary data collection screen (Part A) for the 2022–23 Fall Enrollment (EF) survey component for full-time undergraduate men. This screen is duplicated three more times for undergraduate students, once each for part-time men, full-time women, and part-time women. For survey materials for all 12 IPEDS survey components, including complete data collection forms and detailed reporting instructions, visit the IPEDS Survey Materials website.


As IPEDS does not collect data at the individual student level, these combinations of interacting subgroups are the smallest unit of information available in IPEDS. However, data users may wish to aggregate these smaller subgroups to arrive at larger groups that reflect broader populations of interest.

For example, using the information presented in exhibit 2, a data user could sum all the values highlighted in the green column to arrive at the total enrollment count of full-time, first-time men. As another example, a data user could sum all the values highlighted in the blue row to determine the total enrollment count of full-time Hispanic/Latino men. Note, however, that many IPEDS data products provide precalculated aggregated values (e.g., total undergraduate enrollment), but data are collected at these smaller units of information (i.e., disaggregated subgroup categories).

Student enrollment counts and cohorts align across IPEDS survey components.

There are several instances when student enrollment or cohort counts reported in one survey component should match or very closely mirror those same counts reported in another survey component. For example, the number of first-time degree/certificate-seeking undergraduate students in a particular fall term should be consistently reported in the Admissions (ADM) and Fall Enrollment (EF) survey components within the same data collection year (see letter A in exhibit 3).


Exhibit 3. Alignment of enrollment counts and cohorts across IPEDS survey components

Infographic showing the alignment of enrollment counts and cohorts across IPEDS survey components


For a full explanation of the alignment of student counts and cohorts across IPEDS survey components (letters A to H in exhibit 3), visit the Student Cohorts and Subgroups in IPEDS resource page.

Be sure to follow NCES on TwitterFacebookLinkedIn, and YouTube, follow IPEDS on Twitter, and subscribe to the NCES News Flash to stay up-to-date on IPEDS data releases and resources.

 

By Katie Hyland and Roman Ruiz, AIR

Understanding NCER and NCSER’s Investments in Research Training

Since 2004, NCER has invested over $270 million dollars in education research training programs through solicited and unsolicited grants. NCSER has invested over $32 million in special education research training programs through solicited and unsolicited grants since 2008.

This investment has supported the training and professional development of thousands of undergraduate and graduate students, postdoctoral fellows, and early- and mid-career researchers. But what guides NCER’s and NCSER’s investments? What roles do NCER and NCSER play in research training in the education sciences, and how can the centers determine whether these investments are successful?

In June 2022, IES awarded a joint-center contract to WestEd to document the background and rationale for these training programs and help articulate the theoretical models for each of the programs, including assumptions, inputs, activities, and outputs. WestEd will then work with IES to identify metrics and potential data sources to better understand the successes and impacts of the current and possible future programs.

 

The commissioners for the centers, Drs. Elizabeth Albro and Joan McLaughlin, are excited about the opportunity to delve into the training programs that they believe have transformed the education sciences:

We see the benefits of these trainings every day, including the quality of the applications that we receive, ability of the research teams to conduct thoughtful and rigorous studies even when confronted with the practical challenges of working in schools, the number of early career applicants taking on important research, and the growing diversity of the research teams. 

 The commissioners see the contract as an exciting opportunity:

WestEd is supporting us as we take stock of our various research trainings and help us identify metrics for measuring success both within and across our training programs.  We want to make sure our research training programs stay current and address the needs and evolving challenges of the field and are looking forward to working with the WestEd team on this project. 

 

Dr. Nick Gage, a former NCSER postdoctoral fellow and current mentor on an NCSER Early Career grant leads the WestEd team and notes –  

I believe deeply in the capacity of IES to impact change through the training programs and am passionate about working with IES to find the connections among the programs and to develop a plan for measuring success across the training programs. I believe thinking broadly while also attending to the unique features of the training programs when developing models and a unified conceptual framework will be an on-going challenge, but one my team is excited to tackle. 

By understanding the connections between what is being done during these programs and the impacts on grantees, trainees, institutions, and the education sciences in the short and long term, we can develop new approaches for measuring and understanding success resulting from training program implementation. 

To build the models and identify metrics, WestEd is talking with IES staff, reviewing public and internal documents, leveraging natural language processing and other data analytic approaches, and soliciting input from former training program grantees and participants. Dr. Gage’s goal is to incorporate the voices of all those involved in training programs to help bring together multiple perspectives and ideas in this effort.

 

For more information about the research activities or to provide input, contact Dr. Nick Gage ngage@wested.org.

 

NCER Research Training Programs 

  • Early Career Mentoring Program for Faculty at Minority-Serving Institutions (MSIs)  
  • Methods Training for Education Research 
  • Pathways to the Education Sciences 
  • Postdoctoral Research Training 
  • Predoctoral Interdisciplinary Research Training 
  • Training in Education Use and Practice 

  

NCSER Research Training Programs 

  • Early Career Development and Mentoring in Special Education 
  • Methods Training for Special Education Research 
  • Postdoctoral Research Training Program in Special Education and Early Intervention 

 


This blog was written by Dr. Meredith Larson (Meredith.Larson@ed.gov), an NCER Postdoctoral Training program officer and current coordinator for the NCER/NCSER Training Program team. She is also the contracting officer representative for the NCER/NCSER Education Research Training Program Support contract. 

Women’s Equality Day: The Gender Wage Gap Continues

Today, on Women’s Equality Day, we honor the many women who fuel the education sector with their dedication to our nation’s students! But, let’s also remember the many ways women are still striving to overcome inequalities in the workplace.

Women made up the majority of public school teachers (77 percent) and public school principals (54 percent) in 2017–18. While overrepresented in terms of public school positions, women were paid significantly less than their male counterparts.

Background Demographics

Compared to 30 years ago, women made up higher proportions of public school teachers and principals in 2017–18 than in 1987–88. According to data from the 1987–88 Schools and Staffing Survey (SASS), 71 percent of all public school teachers were women. By 2017–18, data from the National Teacher and Principal Survey (NTPS) showed the rate had increased to 77 percent. The percentage of female public school principals more than doubled during the same period, from 25 percent in 1987–88 to 54 percent in 2017–18. 

Historically, U.S. school buildings weren’t heavily populated by women. Nearly all teachers were men before “Common Schools”—the precursor to today’s public school system—were introduced in the late 1820s. As the education landscape shifted, so did the composition of the teaching workforce. By the 1890s, more than two-thirds (68 percent) of all public school teachers were women.1 

New Depression-era laws in the 1930s—which limited the number of adults in a family who were allowed to work in certain occupations—made it more difficult for married women to stay in the workforce, since a husband often earned more than his wife, even in the same position. Since female public school teachers were the most immediately recognizable example of this law at the local level, married women in education were direct targets of employment discrimination.2 Consequently, the percentage of female teachers dropped from 81 percent in 1930 to 76 percent in 1940.3 Throughout history, this percentage continued to fluctuate as laws readjusted more equitably and more diverse jobs became available to women, although women have always represented more than 50 percent of the teacher workforce. 

The Gender Wage Gap: Teachers and Principals (2017–18 NTPS)

According to Bureau of Labor Statistics data, women are paid less than men in nearly all occupations. While the gap for public elementary and secondary teachers is smaller than the average, it still exists.  

History tells us that the gender wage gap in elementary and secondary education wasn’t accidental. In fact, it was specifically created to expand the reach of the public education system by Common School reformers who argued that the United States could afford to staff the proposed new schools by adding more female teachers, since schools could pay them less than male teachers.4

Patterns in teacher compensation from the 2017–18 school year show that the average base teaching salary of female public school teachers is less than that of their male counterparts ($55,490 vs. $57,453).5 Comparably, female public school principals also had a lower average salary in 2017–18 than did male principals ($96,300 vs. $100,600).

How does average annual salary vary based on teacher, principal, or school characteristics? (201718 NTPS)

Public school teacher and principal salaries are known to vary by several individual- or school-related characteristics (see figures 1 and 2).

For instance, there are fluctuations in teachers’ and principals’ average annual salary by age, years of experience, and highest degree earned. Salary increases often follow a predictable pattern: older, more experienced, or more highly educated teachers and principals generally earn higher salaries than their younger, less experienced, or less educated counterparts.

Educators are also paid differently based on where they work. Certain school characteristics, such as community type, school level, and school size, can influence teachers’ and principals’ average salaries. In 2017–18, the educators with the highest average annual salary worked in either suburban schools, high schools, or large schools with more than 1,000 enrolled students.


Figure 1. Average annual base teaching salary of regular, full-time public school teachers, by selected school or teacher characteristics: 201718

[click figure image to enlarge]

Horizontal bar chart showing average annual base teaching salary of regular, full-time public school teachers, by selected school or teacher characteristics (community type, school level, student enrollment, years of experience, and highest degree earned) in 2017–18


Figure 2. Average annual salary of public school principals, by selected school or principal characteristics: 2017–18

[click figure image to enlarge]

Horizontal bar chart showing average annual salary of public school principals, by selected school or principal characteristics (community type, school level, student enrollment, years of experience, and highest degree earned) in 2017–18


Do teacher, principal, or school characteristics close the gender wage gap? (201718 NTPS)

We know that gender differences in average salary can be correlated with other related factors. For example, higher percentages of public primary school teachers (89 percent) and principals (67 percent) than of public middle or high school educators are female. Notably, figures 1 and 2 show that primary school educators earn less on average than their counterparts in middle or high schools. But these other related factors don’t entirely explain the male-female wage gap.

Teachers

Comparing male and female public school teachers who have the same characteristics can, in some situations, narrow the wage gap (see figure 3).


Figure 3. Average base teaching salary of regular, full-time public school teachers, by sex and selected school and teacher characteristics: 2017–18

[click figure image to enlarge]

Line graph showing average base teaching salary of regular, full-time public school teachers, by sex and selected school and teacher characteristics (years of experience, highest degree earned, community type, school level, and student enrollment) in 2017–18


Among teachers who have the same years of experience, salaries among newer teachers are more similar than among more experienced teachers. There is no significant difference in the average base teaching salary between male and female teachers with less than 4 years or 4–9 years of experience. However, the wage gap remains for the most experienced teachers. Female teachers with 10–14 years or 15 or more years of experience had lower average salaries ($56,990 and $66,600, respectively) than their male counterparts with the same amount of experience ($58,300 and $69,100, respectively).

Similarly, female teachers whose highest degree is bachelor’s degree or less or whose highest degree is a master’s degree earn less on average per year ($49,600 and $62,700, respectively) than male teachers with the same amount of education ($52,300 and $64,300, respectively).6 There is no significant difference between the average salaries of male and female teachers who have higher than a master’s degree.   

When looking at the data by key school characteristics, the wage gap also shrinks for at least some teachers. As discussed before, average base teaching salaries vary by school level and by school size. When comparing male and female teachers at the same school level, female primary school teachers earn less ($56,800) than male primary school teachers ($59,000). But there is no significant difference in average salaries between male and female middle and high school teachers, nor between male and female teachers who work at the same size schools.  

However, gender differences in average base teaching salary remain when school location is the same. In all four community types, female teachers have lower average salaries than their male colleagues: $62,300 vs. $64,400 in suburbs, $59,000 vs. $60,800 in cities, $50,200 vs. $52,600 in rural areas, and $50,100 vs. $52,000 in towns.

Principals

Female principals consistently have lower average annual salaries than male principals, even when controlling for other related factors (see figure 4).


Figure 4. Average annual salary of public school principals, by sex and selected school and principal characteristics: 2017–18

[click figure image to enlarge] 

Line graph showing average annual salary of public school principals, by sex and selected school and teacher characteristics (years of experience, highest degree earned, community type, school level, and student enrollment) in 2017–18


Both the newest and the most experienced female principals are paid significantly less on average than their male peers with the same amount of experience. Similarly, when considering highest degree earned, the data show that female principals are consistently paid less on average than male principals. For example, female principals with a doctorate or first professional degree are paid less on average than male principals with the same education ($102,800 vs. $111,900).

For the most part, principal salaries by gender also remain significantly different when accounting for school characteristics. For example, when considering school location, the data show that female principals have lower average salaries than their male colleagues in all four community types: $105,200 vs. $112,700 in suburbs, $101,400 vs. $106,000 in cities, $85,800 vs. $92,000 in towns, and $82,200 vs. $87,500 in rural areas.

Although there is a lot more to learn about the complex levers that guide educator salaries, the data show that the male-female wage gap is still affecting female educators in many situations.  

Because of the NTPS, researchers, policymakers, and other decisionmakers can continue to analyze relationships that may influence the gender salary gap, including state-by-state differences, turnover rates, self-rated evaluation and job satisfaction scales, and data on the self-reported amount of influence an educator has over various school or classroom decisions. Results from the 2020–21 NTPS will be released in fall 2022 and will include information on the impact of the coronavirus pandemic on public and private schools. Whether the gender wage gap changed over the last two school years is to be determined.

Be sure to follow NCES on Twitter, Facebook, LinkedIn, and YouTube and subscribe to the NCES News Flash to receive notifications when these new data are released.

 

Facts and figures in this blog come from the National Teacher and Principal Survey (NTPS) and its predecessor, the Schools and Staffing Survey (SASS). The NTPS is a primary source of information about K12 schools and educators across the United States and a great resource for understanding the characteristics and experiences of public and private school teachers and principals.

 

By Julia Merlin, NCES


[1] The Fifty-Second Congress. (1893). The executive documents of the House of Representatives for the second session of the Fifty-second Congress (Vol. 1). Washington, DC: U.S. Government Printing Office. 

[2] Blackwelder, J.K. (1998). Women of the Depression: Caste and Culture in San Antonio, 1929–1939. Texas A&M University Press.

[3] Adams, K.H., and Kenne, M.L. (2015). Women, Art, and the New Deal. McFarland.

[4] Kaestle, C. F. (1983). Pillars of the Republic: Common Schools and American Society: 1780–1860. Macmillan.

[5] For the purpose of this blog post, only regular, full-time teachers are included in any salary calculations. A regular full-time teacher is any teacher whose primary position in a school is not an itinerant teacher, a long-term substitute, a short-term substitute, a student teacher, a teacher aide, an administrator, a library media or librarian, another type of professional staff (e.g., counselor, curriculum coordinator, social worker) or support staff (e.g., secretary), or a part-time teacher. For average base salary, teachers who reported zero are excluded from analysis. Summer earnings are not included.

[6] Notably, most teachers have earned a bachelor’s (39 percent) or a master’s (49 percent) degree as their highest level of education. The percentage distribution of teachers whose highest degree earned is a bachelor’s or a master’s degree does not meaningfully differ by gender.

What Do NCES Data Tell Us About America’s Kindergartners?

Happy Get Ready for Kindergarten Month! 

For more than 20 years, the National Center for Education Statistics (NCES) has been collecting information about kindergartners’ knowledge and skills as part of the Early Childhood Longitudinal Studies (ECLS) program.

The first ECLS, the Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLS-K), focused on children in kindergarten in the 1998–99 school year. At the time the ECLS-K began, no large national study focused on education had followed a cohort of children from kindergarten entry through the elementary school years. Some of today’s commonly known information about young children, such as the information about kindergartners’ early social and academic skills shown in the infographics below, comes out of the ECLS-K. For example, we all know that children arrive at kindergarten with varied knowledge and skills; the ECLS-K was the first study to show at a national level that this was the case and to provide the statistics to highlight the differences in children’s knowledge and skills by various background factors.



The second ECLS kindergarten cohort study, the Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011), is the ECLS-K’s sister study. This study followed the students who were in kindergarten during the 2010–11 school year. The ECLS-K:2011, which began more than a decade after the inception of the ECLS-K, allows for comparisons of children in two nationally representative kindergarten classes experiencing different policy, educational, and demographic environments. For example, significant changes that occurred between the start of the ECLS-K and the start of the ECLS-K:2011 include the passage of No Child Left Behind legislation, a rise in school choice, and an increase in English language learners. 

From the parents of children in the ECLS-K:2011, we learned how much U.S. kindergartners like school, as shown in the following infographic.



The ECLS program studies also provide information on children’s home learning environments and experiences outside of school that may contribute to learning. For example, we learned from the ECLS-K:2011 what types of activities kindergartners were doing with their parents at least once a month (see the infographic below).


Infographic titled How do kindergarteners like school?


What’s next for ECLS data collections on kindergartners? NCES is excited to be getting ready to launch our next ECLS kindergarten cohort study, the Early Childhood Longitudinal Study, Kindergarten Class of 2023–24 (ECLS-K:2024)

Before the ECLS-K:2024 national data collections can occur, the ECLS will conduct a field test—a trial run of the study to test the study instruments and procedures—in the fall of 2022.

If you, your child, or your school are selected for the ECLS-K:2024 field test or national study, please participate! While participation is voluntary, it is important so that the study can provide information that can be used at the local, state, and national levels to guide practice and policies that increase every child’s chance of doing well in school. The ECLS-K:2024 will be particularly meaningful, as it will provide important information about the experiences of children whose early lives were shaped by the COVID-19 pandemic.

Watch this video to learn more about participation in the ECLS-K:2024. For more information on the ECLS studies and the data available on our nation’s kindergartners, see the ECLS homepage, review our online training modules, or email the ECLS study team.

 

By Jill Carlivati McCarroll, NCES