K-12 Education

The Offline Implications Of The Research About Online Charter Schools

It’s rare to find an educational intervention with as unambiguous a research track record as online charter schools. Now, to be clear, it’s not a large body of research by any stretch, its conclusions may change in time, and the online charter sub-sector remains relatively small and concentrated in a few states. For now, though, the results seem incredibly bad (Zimmer et al. 2009; Woodworth et al. 2015). In virtually every state where these schools have been studied, across virtually all student subgroups, and in both reading and math, the estimated impact of online charter schools on student testing performance is negative and large in magnitude.

Predictably, and not without justification, those who oppose charter schools in general are particularly vehement when it comes to online charter schools – they should, according to many of these folks, be closed down, even outlawed. Charter school supporters, on the other hand, tend to acknowledge the negative results (to their credit) but make less drastic suggestions, such as greater oversight, including selective closure, and stricter authorizing practices.

Regardless of your opinion on what to do about online charter schools’ poor (test-based) results, they are truly an interesting phenomenon for a few reasons.

Unsustainable Trends In Teacher Debt And Teacher Pay

Higher education is often presented as the sure pathway towards upward social mobility. However, the idea that higher education is for all has been slowly fading away. The combination of soaring tuition costs and student loan debt has placed higher education beyond the grasp of many Americans. 

Although this issue is typically framed in terms of undergraduate student debt, the problem is no less pronounced for many graduate students, particularly those pursuing master’s degrees (e.g., MBA, MFA) and advanced professional degrees (e.g., MD, JD, PhD, etc.).

Educators are no exception. Roughly half of public school teachers have master’s degrees (NCES). Some employers provide assistance with tuition, but many teachers pay part or all of the costs themselves. Many job opportunities outside of education are attracting young graduates, burdened with high student debt, through student loan benefit programs. These programs may have the employer contribute additional money on top of their salary to repay the loan. That said, most teachers who go for their master’s degree do incur debt as a result, which in many cases is added to debt accumulated during their undergraduate studies.

And the amount of debt that teachers take on has been rising, at the same time that teacher pay has fallen further and further behind that of similarly-educated professionals.

Happy Holidays From The Shanker Institute

We at the Shanker Institute wish you a happy and healthy holiday season, and a new year in which the moral arc of the universe bends toward justice. Posts will resume in the new year.

Update On Teacher Diversity Data: Good News, Bad News, And Strange News

A couple of months ago, we released a report on the collection and availability of teacher race and ethnicity data, based on our late 2017 survey of all 51 state education agencies (SEAs) in the U.S. We asked them two simple questions: 1) Do you collect data (school- or district-level) on teacher race and ethnicity; and 2) Do you make the data public, and how (i.e., by request or on your website)?

Our findings, in brief, were that the majority of states both collected and made public school- and district-level data on teacher diversity, but that six states did not collect the data all, and another four states collect the data but do not make them available to the public.

Since the publication of that report, we’ve come across significant information/updates pertaining to three states, which we would like to note briefly. We might characterize these three updates as good news, bad news, and strange news.

We Need To Reassess School Discipline

It has been widely documented that, in American schools, students of color are disproportionately punished for nonviolent behaviors, and are targeted for exclusionary discipline within schools more often than their white peers. Exclusionary discipline is defined as students being removed from their learning environment, whether by in-school suspension, out-of-school suspension, or expulsion. 

In a national study, Sullivan et al. (2013) found that “Black students were more than twice as likely as White students to be suspended, whereas Hispanic and Native American students were 10 and 20 percent more likely to be suspended.” Out of all the racial minority groups, Asians had the lowest suspension rates across the board. Across all the racial groups, “males were twice as likely as female students to be suspended, and Black males had the highest rates of all subgroups.”

One reason that students of color are at a performance disadvantage to their White counterparts is because, put simply, they are being removed from the classroom much more often. This is true nationally, but it seems to be a particularly pronounced issue in the Commonwealth of Virginia. The Center for Public Integrity released a 2015 study demonstrating that schools in Virginia “referred students to law enforcement agencies at a rate nearly three times the national rate” (Ferriss, 2015). According to the U.S. Department of Education, Virginia’s Black student population, which is 23 percent of all students, received 59 percent of short-term arrests and 43 percent of expulsions (Lum, 2018).

Perkins And The Benefits Of Collaboration

Our guest author today is Stan Litow, a professor of Public Policy at both Duke and Columbia University. He is a former deputy chancellor of schools in New York City, former president of the IBM Foundation, a trustee of the State University of New York, and a member of the Albert Shanker Institute’s board of directors. His book, The Challenge for Business and Society: From Risk to Reward, was published this year.

This July, the U.S. Senate and House of Representatives, after a dozen years of inaction, unanimously passed legislation to update the Federal Career and Technical Education law. By doing so, Congress increased funding for Career and Technical Education to nearly $1.3 billion in the coming year. The law is called the Perkins Act, named after a former member of Congress. It can go a long way toward addressing America’s skills crisis and providing many of our young people with real economic opportunity. Given the contentious Washington climate, broad bipartisan support for Perkins—including strong private sector, labor union and education backing—is truly noteworthy. But as we consider how this happened, it brings to mind another action that took place more than 80 years ago involving another Perkins: Frances Perkins.

On the 25th anniversary of Social Security, Frances Perkins, America's first cabinet member to be a woman, said "It would not have happened without IBM." Many who saw her on film were surprised. President Roosevelt was usually critical of the private sector. What had IBM to do with Social Security? Actually a lot. After the bill to establish Social Security was signed, the Labor Department under Perkins had to implement it. She sought outside help to design an implementation plan, yet everyone she approached said it would take years. When she approached Tom Watson Sr., IBM's CEO, she got a different answer. His team of engineers told him it might be possible to implement it sooner, but it would require the investment of several million dollars (about a hundred million in today’s dollars) to create what they called a "collator."

Weaning Educational Research Off Of Steroids

Our guest authors today are Hunter Gehlbach and Carly D. Robinson. Gehlbach is an associate professor of education and associate dean at the University of California, Santa Barbara’s Gevirtz Graduate School of Education, as well as Director of Research at Panorama Education. Robinson is a doctoral candidate at Harvard’s Graduate School of Education.

Few people confuse academics with elite athletes. As a species, academics are rarely noted for their blinding speed, raw power, or outrageously low resting heart rates. Nobody wants to see a calendar of scantily clad professors. Unfortunately, recent years have surfaced one commonality between these two groups—a commonality no academic will embrace. And one with huge implications for educational policymakers’ and practitioners’ professional lives.

In the same way that a 37 year-old Barry Bonds did not really break the single-season home run record—he relied on performance-enhancing drugs—a substantial amount of educational research has undergone similar “performance enhancements” that make the results too good to be true.

To understand, the crux of the issue, we invite readers to wade into the weeds (only a little!), to see what research “on steroids” looks like and why it matters. By doing so, we hope to reveal possibilities for how educational practitioners and policymakers can collaborate with researchers to correct the problem and avoid making practice and policy decisions based on flawed research.

The Teacher Diversity Data Landscape

This week, the Albert Shanker Institute released a new research brief, authored by myself and Klarissa Cervantes. It summarizes what we found when we contacted all 51 state education agencies (including the District of Columbia) and asked whether data on teacher race and ethnicity was being collected, and whether and how it was made available to the public. This survey was begun in late 2017 and completed in early 2018.

The primary reason behind this project is the growing body of research to suggest that all students, and especially students of color, benefit from a teaching force that reflects the diverse society in which they must learn to live, work and prosper. ASI’s previous work has also documented that a great many districts should turn their attention to recruiting and retaining more teachers of color (see our 2015 report). Data are a basic requirement for achieving this goal – without data, states and districts are unable to gauge the extent of their diversity problem, target support and intervention to address that problem, and monitor the effects of those efforts. Unfortunately, the federal government does not require that states collect teacher race and ethnicity data, which means the responsbility falls to individual states. Moreover, statewide data are often insufficient – teacher diversity can vary widely within and between districts. Policymakers, administrators, and the public need detailed data (at least district-by-district and preferably school-by-school), which should be collected annually and be made easily available.

The results of our survey are generally encouraging. The vast majority of state education agencies (SEAs), 45 out of 51, report that they collect at least district-by-district data on teacher race and ethnicity (and all but two of these 45 collect school-by-school data). This is good news (and, frankly, better results than we anticipated). There are, however, areas of serious concern.

Why Teacher Evaluation Reform Is Not A Failure

The RAND Corporation recently released an important report on the impact of the Gates Foundation’s “Intensive Partnerships for Effective Teaching” (IPET) initiative. IPET was a very thorough and well-funded attempt to improve teaching quality in schools in three districts and four charter management organizations (CMOs). The initiative was multi-faceted, but its centerpiece was the implementation of multi-measure teacher evaluation systems and the linking of ratings from those systems to professional development and high stakes personnel decisions, including compensation, tenure, and dismissal. This policy, particularly the inclusion in teacher evaluations of test-based productivity measures (e.g., value-added scores), has been among the most controversial issues in education policy throughout the past 10 years.

The report is extremely rich and there's a lot of interesting findings in there, so I would encourage everyone to read it themselves (at least the executive summary), but the headline finding was that the IPET had no discernible effect on student outcomes, namely test scores and graduation rates, in the districts that participated, vis-à-vis similar districts that did not. Given that IPET was so thoroughly designed and implemented, and that it was well-funded, it can potentially be viewed as a "best case scenario" test of the type of evaluation reform that most states have enacted. Accordingly, critics of these reforms, who typically focus their opposition on the high stakes use of evaluation measures, particularly value-added and other test-based measures, in these evaluations, have portrayed the findings as vindication of their opposition. 

This reaction has merit. The most important reason why is that evaluation reform was portrayed by advocates as a means to immediate and drastic improvements in student outcomes. This promise was misguided from the outset, and evaluation reform opponents are (and were) correct in pointing this out. At the same time, however, it would be wise not to dismiss evaluation reform as a whole, for several reasons, a few of which are discussed below.