IES Blog

Institute of Education Sciences

Virtual schools: Measuring access to elementary and secondary education in online environments

By Mark Glander

Many people are familiar with the increasing availability of online education at the postsecondary level, but did you know that the number of virtual elementary and secondary schools is also growing? Virtual schools can offer flexibility to students who may have difficulty accessing or attending traditional schools, or as an alternative to homeschooling for parents who elect not to enroll their children in traditional brick and mortar schools. As the number of schools offering virtual education increases, it is important to be able to track these schools.

To gain a better understanding of the role virtual schools play in public elementary and secondary education, NCES added a flag identifying these schools to its Common Core of Data (CCD). The CCD is an annual collection of data from all public schools, public school districts, and state education agencies in the United States. The recently released School Year 2013–14 collection includes the new virtual school flag. For this purpose, a virtual school is defined as, “A public school that offers only instruction in which students and teachers are separated by time and/or location, and interaction occurs via computers and/or telecommunications technologies. A virtual school generally does not have a physical facility that allows students to attend classes on site.”

Twenty-eight states and the District of Columbia reported having one or more virtual schools for a total of 478 virtual schools in the U.S. in 2013–14. Florida reported the most of any state with a total of 182. A new data item is often under-reported in the first year of collection; ten states and other jurisdictions did not report having any virtual schools or reported virtual schools as not applicable (California, Delaware, North Dakota, Texas, Washington, the Department of Defense Education Activity, American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). 

All but 12 of the reported schools were “regular” schools, meaning they offered a general academic curriculum rather than one focused on special needs or vocational education. 

The CCD distinguishes several types of local education agencies, defined by their level of governance.  Almost all virtual schools were administered by regular, local school districts (350 schools). Most other virtual schools were administered by independent charter school districts (116 schools), which are districts composed exclusively of charter schools.

The two states with the largest number of students in virtual schools were Ohio (38,169) and Pennsylvania (36,596).  Idaho had the largest percentage of students in virtual schools (2.4 percent), followed by Ohio (2.2 percent), and Pennsylvania (2.1 percent).

CCD identifies four school levels:  primary, middle, high, and “other”.  “Other” includes schools that span these categories and schools with high school grades but no 12th grade. A total of 309 of the 478 virtual schools had a school level of "other".  These schools accounted for 84 percent of students in virtual schools.

To see tables summarizing the above data, please visit our web page – http://nces.ed.gov/ccd/data_tables.asp.

To learn more about the CCD, please see our latest report, or visit our web page.  You can also access CCD data files for additional information about public elementary and secondary schools.  

Exploring a range of educational outcomes within and across countries: Sub-national data supplement to Education at a Glance 2015

By Lauren Musu-Gillette and Tom Snyder

Situating educational and economic outcomes in the United States within a global context can help researchers, policy makers, and the public understand how individuals in the U.S. compare to their peers internationally. The annual publication Education at a Glance produced by the Organisation for Economic Co-operation and Development (OECD) provides information on the state of education in many countries across the world. While these data are instrumental in helping us to understand how the U.S. compares to other OECD and partner countries on a number of key educational and economic outcomes, national averages can mask the high degree of variation that can occur within individual countries. In order to address this, several OECD and partner countries, including the U.S., provided sub-national data on several select indicators previously only available at the country level.   

These data, posted on the NCES website, serve as a supplement to Education at a Glance 2015 and provide select sub-national data for six indicators in this edition. These include data on educational attainment by selected age groups, employment rates by educational attainment, annual expenditure per student, enrollment rates by age, enrollment rates in early childhood and primary education, and enrollment rates and work status of 15-29 year-olds.

In order to understand the amount of variability in an indicator for a particular country, we can compute a ratio of the state, territory, or region with the highest percentage to that with the lowest percentage on any given metric. For example, within the United States, the percentage of 25- to 34-year-olds who completed any level of postsecondary education in 2013 ranged among the states from 30 percent in Nevada to 55 percent in Massachusetts.

The ratio of high to low percentages of 25- to 34-year-olds completing postsecondary education in the United States (2.4) was among the largest of the reporting countries.  The ratio was higher in Brazil (5.8) with a range of 6 to 31 percent, and in Spain (2.8), with a range from 21 to 58 percent. The U.S. ratio was slightly higher than in Canada and Russia (both 2.3).  The ratio was lower in Sweden (1.8) and lowest in Slovenia (1.0), Ireland (1.2), and Belgium (1.2). The high to low ratio between OECD countries was 2.8, ranging from a low of 24 percent to a high of 68 percent.


Average percentage of the 25-34 year old population with postsecondary education (with subnational high/low value) in selected OECD and partner countries: 2014

NOTE: Countries are ranked in ascending order of the average percentage of the 25-34 year old population with postsecondary education. Data years differ. Data for Canada is from 2012, while data for the United States and Brazil is from 2013. Data for all other countries is from 2014.

SOURCE: OECD. Table A1.3a. See Annex 3 for notes and sub-national Summary Table A1.3a.


Regional policy makers can benefit most from the comparisons presented in Education at a Glance when they can compare the results from their own sub-national areas with national and sub-national data from other countries. It is not surprising that large federal countries, such as Canada, Germany, and the United States, in which education is largely controlled by regional authorities, might have large internal variations. But, many other countries with centralized education systems such as Spain and Sweden have substantial variations within their countries as well. These new sub-national data can help illuminate these differences and provide additional information to U.S. states on how they compare to their peers both within the U.S. and internationally. 

ED Games Expo 2015: Showcasing ED/IES SBIR-Supported Games for Learning

Game-based learning is gaining popularity as more and more young people and adults play and learn from games in and out of the classroom. Well-designed games can motivate learners to actively engage in challenging tasks, master content, and sharpen critical thinking and problem solving skills. The meteoric rise and popularity of mobile handheld and tablet devices has enabled game-playing anywhere and at any time, providing expanded opportunities for game developers.

In recent years, the Small Business Innovation Research program at the Institute of Education Sciences has supported the R&D and evaluation of many games for learning.  Other SBIR programs across the Federal government are also investing in games for learning across education, health, and the military.

The ED Games Expo is an annual event. This year the Expo is showcasing 45 developers (including 15 supported by ED/IES SBIR) who created games for learning. At the Expo, attendees will meet the developers while playing games that cover a range of topics – including earth science, ecology, chemistry, math, early learning, social and emotional learning, smoking cessation, mental health, stress resilience, or cultural awareness.

Event Details

  • Date: Wednesday, December 9, 2015, from 6PM to 8PM 
  • Location: In Washington DC, at 1776, 1133 15th St. 12th floor
  • RVSP: rsvp@theESA.com
  • Note: The Expo is sponsored by 1776 and the Entertainment Software Association and is free to attend. Please RVSP to ensure entry to the event, as space is limited. 

 

 

Questions? Comments? Please email us at IESResearch@ed.gov.

Distance education: Learning in non-traditional settings

By Lauren Musu-Gillette

Distance education courses and programs provide students with flexible learning opportunities. Distance education has become increasingly common at the postsecondary level. Many postsecondary institutions offer at least some online courses, while other institutions exclusively offer online programs and courses taught exclusively online. NCES collects data on distance education through the Integrated Postsecondary Education Data System (IPEDS) and the National Postsecondary Student Aid Study (NPSAS).

IPEDS data on distance education provides information on the number and percentage of students participating in distance education at different types of institutions. In fall 2013, about 4.6 million undergraduate students participated in distance education, with 2.0 million students (11 percent of total undergraduate enrollment) exclusively taking distance education courses. Of the 2.0 million undergraduate students who exclusively took distance education courses, 1.1 million students (6 percent of total undergraduate enrollment) were enrolled in programs located in the same state in which they resided, and 0.8 million (4 percent of total undergraduate enrollment) were enrolled in a different state.

At the postbaccalaureate level, some 895,000 students (31 percent of total postbaccalaureate enrollment) participated in distance education in fall 2013, with 677,000 students (23 percent of total postbaccalaureate enrollment) exclusively taking distance education courses. Of the students who exclusively took distance education courses, 273,000 students (9 percent of total postbaccalaureate enrollment) were enrolled in programs located in the same state in which they resided, and 362,000 students (12 percent of total postbaccalaureate enrollment) were enrolled in a different state.


Percentage of undergraduate students at degree-granting postsecondary institutions who participated exclusively in distance education courses, by control and level of institution: Fall 2013

SOURCE: U.S. Department of Education, National Center for Education Statistics, Integrated Postsecondary Education Data System (IPEDS). See Digest of Education Statistics 2014, table 311.15.


The percentage of undergraduate students participating exclusively in distance education programs differed by institutional control. In fall 2013, a higher percentage of students at private for-profit 4-year institutions exclusively took distance education courses (58 percent) than did students at any other control and level of institution. Similarly, at the postbaccalaureate level, the percentage of students who exclusively took distance education courses in fall 2013 was higher for those enrolled at private for-profit institutions (79 percent) than for those at private nonprofit (19 percent) and public institutions (16 percent).

Data on distance education in IPEDS is at the institution level, and therefore does not provide data on how distance education may differ by student characteristics. However, NPSAS contains both institution- and student-level data and can therefore be used to examine whether participation in distance education differs based on student’s demographic characteristics. For example, findings from NPSAS show that a higher percentage of older adults enrolled in distance education classes than younger adults. In 2011–12, a higher percentage of undergraduates 30 years old and over took distance education classes or their entire degree program through distance education (41 percent and 13 percent, respectively) than undergraduates 24 to 29 years of age (36 percent and 8 percent, respectively) or undergraduates 15 to 23 years of age (26 percent and 3 percent, respectively).

Findings from NPSAS also show that enrollment in distance education was higher in 2011-12 than in previous years in which these data were collected. A higher percentage of undergraduates took distance education classes in 2011–12 (32 percent) than in 2007–08 (21 percent) or in 2003–04 (16 percent). Also, a higher percentage of undergraduates took their entire degree program through distance education in 2011–12 (6 percent) than in 2007–08 (4 percent) or in 2003–04 (5 percent).

Enrollment in distance education will likely continue to grow as additional institutions offer individual courses, or even entire degree programs, online. Drawing on new technologies, the scope of distance education activities have expanded to reach millions of students. Current and future NCES data collections will continue to monitor this trend.

The Nexus Between Teaching and Research: What I Learned Working on an IES Grant

 

Samuel Choo is a doctoral student at the dissertation stage in the Department of Early Childhood, Special Education, and Rehabilitation Counseling at the University of Kentucky (UK). In this blog post, he describes how working on an IES grant gave him first-hand experiences in planning and carrying out research in schools. He also discusses how these research experiences helped him understand the important connections between research and teaching.

How did you get started working on this IES research project?

The first I heard of IES was six years ago as a resource room teacher at a middle school. Dr. Brian Bottge, who is now my doctoral adviser, was awarded a NCSER grant to test the effects of Enhanced Anchored Instruction (EAI) on the math performance of middle school students. My school was randomly assigned to the EAI group. The project staff did a good job of teaching us how to implement EAI in our resource rooms. Soon after teaching with the new curriculum, I noticed that my students were much more motivated and engaged than they had been. In fact, they looked like they were actually enjoying math! Posttest scores showed positive results in favor of the new curriculum.

And so this experience as a teacher got you more interested in research?

Yes! The next year I applied to the UK doctoral program. I joined Dr. Bottge’s IES grant team as a research assistant where I learned how classroom-based research is planned and conducted. I had many opportunities to participate in the research experience. In my case, I helped train math and special education teachers, observed classrooms and assessed research fidelity, provided teachers with technical support, assisted in scoring tests, and worked on data entry and analysis. Project leaders also asked me to suggest revisions to the daily lesson plans based on my experiences teaching with EAI the year before.

Can you talk more about your developing research interests related to math education?

After the grant ended and after I finished my doctoral coursework, I went back to teaching in North Carolina, where I taught low performing middle school students in a Title I resource room. I ran my own pilot studies using what I had learned while teaching with EAI as both a research participant and research assistant. To help offset the cost of materials for my first study, I was awarded a $1500 Bright Ideas Grant from the North Carolina’s Electric Cooperatives. Thanks to the company’s generosity, I was able to fully implement all the lesson plans developed by Dr. Bottge’s grant team.

This experience was especially important to me because it was my first try at conducting my own research with a prescribed protocol, which I had learned from working on the IES project. Posttests showed statistically significant improvement of students in the EAI group in both computation and problem solving. Based on these results, the sponsor invited me to participate in a panel discussion in Raleigh, NC. The CEOs of the company attended the event along with policy makers and school administrators from across the state. This whole process, from applying for funding to carrying out the study to reporting the results, helped me make connections between university, classroom, and community.

What have been your big takeaways from these experiences?

From the training I received as a study participant, I have become a better teacher.  From working on an IES-funded grant team, I learned a lot about how to conduct classroom-based studies. I am looking forward to designing new instructional methods and testing their effectiveness. Similar to how my students learned math in a hands-on way, I learned research methods by having the opportunity to use them in practice, and for that I am very grateful.