Education

The Virtue Of Boring In Education

The College Board recently released the latest SAT results, for the first time combining this release with that of data from the PSAT and AP exams. The release of these data generated the usual stream of news coverage, much of which misinterpreted the year-to-year changes in SAT scores as a lack of improvement, even though the data are cross-sectional and the test-taking sample has been changing, and/or misinterpreted the percent of test takers who scored above the “college ready” line as a national measure of college readiness, even though the tests are not administered to a representative sample of students.

It is disheartening to watch this annual exercise, in which the most common “take home” headlines (e.g., "no progress in SAT scores" and "more, different students take SAT") are in many important respects contradictory. In past years, much of the blame had to be placed on the College Board’s presentation of the data. This year, to their credit, the roll-out is substantially better (hopefully, this will continue).

But I don’t want to focus on this aspect of the organization's activities (see this post for more); instead, I would like to discuss briefly the College Board’s recent change in mission.

Redesigning Florida's School Report Cards

The Foundation for Excellence in Education, an organization that advocates for education reform in Florida, in particular the set of policies sometimes called the "Florida Formula," recently announced a competition to redesign the “appearance, presentation and usability” of the state’s school report cards. Winners of the competition will share prize money totaling $35,000.

The contest seems like a great idea. Improving the manner in which education data are presented is, of course, a laudable goal, and an open competition could potentially attract a diverse group of talented people. As regular readers of this blog know, however, I am not opposed to sensibly-designed test-based accountability policies, but my primary concern about school rating systems is focused mostly on the quality and interpretation of the measures used therein. So, while I support the idea of a competition for improving the design of the report cards, I am hoping that the end result won't just be a very attractive, clever instrument devoted to the misinterpretation of testing data.

In this spirit, I would like to submit four simple graphs that illustrate, as clearly as possible and using the latest data from 2014, what Florida’s school grades are actually telling us. Since the scoring and measures vary a bit between different types of schools, let’s focus on elementary schools.

Attitudes Toward Education And Hard Work In Post-Communist Poland

The following is written by Kinga Wysieńska-Di Carlo and Matthew Di Carlo. Wysieńska-Di Carlo is an Assistant Professor of Sociology in the Institute of Philosophy and Sociology at the Polish Academy of Sciences.

Economic returns to education -- that is, the value of investment in education, principally in terms of better jobs, earnings, etc. -- rightly receives a great deal of attention in the U.S., as well as in other nations. But it is also useful to examine what people believe about the value and importance of education, as these perceptions influence, among other outcomes, individuals’ decisions to pursue additional schooling.

When it comes to beliefs regarding whether education and other factors contribute to success, economic or otherwise, Poland is a particularly interesting nation. Poland underwent a dramatic economic transformation during and after the collapse of Communism (you can read about Al Shanker’s role here). An aggressive program of reform, sometimes described as “shock therapy," dismantled the planned socialist economy and built a market economy in its place. Needless to say, actual conditions in a nation can influence and reflect attitudes about those conditions (see, for example, Kunovich and Słomczyński 2007 for a cross-national analysis of pro-meritocratic beliefs).

This transition in Poland fundamentally reshaped the relationships between education, employment and material success. In addition, it is likely to have influenced Poles’ perception of these dynamics. Let’s take a look at Polish survey data since the transformation, focusing first on Poles’ perceptions of the importance of education for one’s success.

Building And Sustaining Research-Practice Partnerships

Our guest author today is Bill Penuel, professor of educational psychology and learning sciences at the University of Colorado Boulder. He leads the National Center for Research in Policy and Practice, which investigates how school and district leaders use research in decision-making. Bill is co-Principal Investigator of the Research+Practice Collaboratory (funded by the National Science Foundation) and of a study about research use in research-practice partnerships (supported by the William T. Grant Foundation). This is the second of two posts on research-practice partnerships - read the part one here; both posts are part of The Social Side of Reform Shanker Blog series.

In my first post on research-practice partnerships, I highlighted the need for partnerships and pointed to some potential benefits of long-term collaborations between researchers and practitioners. But how do you know when an arrangement between researchers and practitioners is a research-practice partnership? Where can people go to learn about how to form and sustain research-practice partnerships? Who funds this work?

In this post I answer these questions and point to some resources researchers and practitioners can use to develop and sustain partnerships.

What You Need To Know About Misleading Education Graphs, In Two Graphs

There’s no reason why insisting on proper causal inference can’t be fun.

A weeks ago, ASCD published a policy brief (thanks to Chad Aldeman for flagging it), the purpose of which is to argue that it is “grossly misleading” to make a “direct connection” between nations’ test scores and their economic strength.

On the one hand, it’s implausible to assert that better educated nations aren’t stronger economically. On the other hand, I can certainly respect the argument that test scores are an imperfect, incomplete measure, and the doomsday rhetoric can sometimes get out of control.

In any case, though, the primary piece of evidence put forth in the brief was the eye-catching graph below, which presented trends in NAEP versus those in U.S. GDP and productivity.

The Superintendent Factor

One of the more visible manifestations of what I have called “informal test-based accountability” -- that is, how testing results play out in the media and public discourse -- is the phenomenon of superintendents, particularly big city superintendents, making their reputations based on the results during their administrations.

In general, big city superintendents are expected to promise large testing increases, and their success or failure is to no small extent judged on whether those promises are fulfilled. Several superintendents almost seem to have built entire careers on a few (misinterpreted) points in proficiency rates or NAEP scale scores. This particular phenomenon, in my view, is rather curious. For one thing, any district leader will tell you that many of their core duties, such as improving administrative efficiency, communicating with parents and the community, strengthening districts' financial situation, etc., might have little or no impact on short-term testing gains. In addition, even those policies that do have such an impact often take many years to show up in aggregate results.

In short, judging superintendents based largely on the testing results during their tenures seems misguided. A recent report issued by the Brown Center at Brookings, and written by Matt Chingos, Grover Whitehurst and Katharine Lindquist, adds a little bit of empirical insight to this viewpoint.

Why Teachers And Researchers Should Work Together For Improvement

Our guest author today is Bill Penuel, professor of educational psychology and learning sciences at the University of Colorado Boulder. He leads the National Center for Research in Policy and Practice, which investigates how school and district leaders use research in decision-making. This is the first of two posts on research-practice partnerships; both are part of The Social Side of Education Reform series.

Policymakers are asking a lot of public school teachers these days, especially when it comes to the shifts in teaching and assessment required to implement new, ambitious standards for student learning. Teachers want and need more time and support to make these shifts. A big question is: What kinds of support and guidance can educational research and researchers provide?

Unfortunately, that question is not easy to answer. Most educational researchers spend much of their time answering questions that are of more interest to other researchers than to practitioners.  Even if researchers did focus on questions of interest to practitioners, teachers and teacher leaders need answers more quickly than researchers can provide them. And when researchers and practitioners do try to work together on problems of practice, it takes a while for them to get on the same page about what those problems are and how to solve them. It’s almost as if researchers and practitioners occupy two different cultural worlds.

Research And Policy On Paying Teachers For Advanced Degrees

There are three general factors that determine most public school teachers’ base salaries (which are usually laid out in a table called a salary schedule). The first is where they teach; districts vary widely in how much they pay. The second factor is experience. Salary schedules normally grant teachers “step raises” or “increments” each year they remain in the district, though these raises end at some point (when teachers reach the “top step”).

The third typical factor that determines teacher salary is their level of education. Usually, teachers receive a permanent raise for acquiring additional education beyond their bachelor’s degree. Most commonly, this means a master’s degree, which roughly half of teachers have earned (though most districts award raises for accumulating a certain number of credits towards a master’s and/or a Ph.D., and for getting a Ph.D.). The raise for receiving a master’s degree varies, but just to give an idea, it is, on average, about 10 percent over the base salary of bachelor’s-only teachers.

This practice of awarding raises for teachers who earn master’s degrees has come under tremendous fire in recent years. The basic argument is that these raises are expensive, but that having a master’s degree is not associated with test-based effectiveness (i.e., is not correlated with scores from value-added models of teachers’ estimated impact on their students’ testing performance). Many advocates argue that states and districts should simply cease giving teachers raises for advanced degrees, since, they say, it makes no sense to pay teachers for a credential that is not associated with higher performance. North Carolina, in fact, passed a law last year ending these raises, and there is talk of doing the same elsewhere.

A Quick Look At The ASA Statement On Value-Added

Several months ago, the American Statistical Association (ASA) released a statement on the use of value-added models in education policy. I’m a little late getting to this (and might be repeating points that others made at the time), but I wanted to comment on the statement, not only because I think it's useful to have ASA add their perspective to the debate on this issue, but also because their statement seems to have become one of the staple citations for those who oppose the use of these models in teacher evaluations and other policies.

Some of these folks claimed that the ASA supported their viewpoint – i.e., that value-added models should play no role in accountability policy. I don’t agree with this interpretation. To be sure, the ASA authors described the limitations of these estimates, and urged caution, but I think that the statement rather explicitly reaches a more nuanced conclusion: That value-added estimates might play a useful role in education policy, as one among several measures used in formal accountability systems, but this must be done carefully and appropriately.*

Much of the statement puts forth the standard, albeit important, points about value-added (e.g., moderate stability between years/models, potential for bias, etc.). But there are, from my reading, three important takeaways that bear on the public debate about the use of these measures, which are not always so widely acknowledged.

The Thrill Of Success, The Agony Of Measurement

** Reprinted here in the Washington Post

The recent release of the latest New York State testing results created a little public relations coup for the controversial Success Academies charter chain, which operates over 20 schools in New York City, and is seeking to expand.

Shortly after the release of the data, the New York Post published a laudatory article noting that seven of the Success Academies had overall proficiency rates that were among the highest in the state, and arguing that the schools “live up to their name." The Daily News followed up by publishing an op-ed that compares the Success Academies' combined 94 percent math proficiency rate to the overall city rate of 35 percent, and uses that to argue that the chain should be allowed to expand because its students “aced the test” (this is not really what high proficiency rates mean, but fair enough).

On the one hand, this is great news, and a wonderfully impressive showing by these students. On the other, decidedly less sensational hand, it's also another example of the use of absolute performance indicators (e.g., proficiency rates) as measures of school rather than student performance, despite the fact that they are not particularly useful for the former purpose since, among other reasons, they do not account for where students start out upon entry to the school. I personally don't care whether Success Academy gets good or bad press. I do, however, believe that how one gauges effectiveness, test-based or otherwise, is important, even if one reaches the same conclusion using different measures.