Principal observes teacher for 50 minutes. Principal completes checklist. Principal tells teacher what she needs to work on. Dublin City (Ohio) Schools did away with this archaic method of teacher evaluation in the 2009-2010 school year and put the emphasis on teacher self-assessment, professional learning and student-growth data after developing a tailor-made teacher evaluation tool with the help of a committee of teachers, administrators and the teachers union.
We at DA keep our ears to the ground and our noses to the grindstone always looking for new stuff to keep you, our readers, well informed. Much of what we’re hearing these days points toward the growing use of predictive analysis—looking at student data and seeing where kids are going, rather than looking at where they’ve been, as is used with data-driven decision making. Sophisticated modeling software is beginning to move from the corporate world and higher education admissions to K12, and the potential is huge.
When I was young, I loved puzzles. My favorite childhood toys were the Rubik’s Cube and the wooden tangram set my grandmother gave me. I’d request logic problems over bedtime stories from my father. He preferred withholding puzzles until morning to prevent me from staying up all night solving them.
In 2009, a year after joining Illinois School District U-46 from his previous post as regional superintendent for Chicago Public Schools’ Area 14, Jose M. Torres made unprecedented cuts to his district’s budget and personnel.
Typical public school revenue streams such as state money and property taxes were decimated by the recession nationwide, and districts across Chicago faced deficits worse than U-46’s anticipated $60 million hole in the coming years. It wasn’t a surprise that cuts in U-46 were necessary, but Torres’ tactics were.
After more than a decade of writing about educational accountability, I have come to a conclusion that we can't wait for Washington, or for that matter, any state capital, to get accountability right. The most innovative models for educational accountability will happen in districts that are willing to say to the president and secretary of education, "We do not fear accountability. In fact, we will be more accountable than any federal or state program has ever required. We will report not only our test scores, but we will also report on the other 90 percent of the work we have been doing.
With Over 60 percent of school districts considering staff reductions to balance budgets (Kober & Renter, 2011), class size is likely on many educators' minds. With money tight, schools are seeking to focus available funds on those policies and programs most likely to have a positive impact on student learning. Although the effects of class size have been debated for decades, Tennessee's STAR project in the late 1980s seemed to settle the argument.
Celina (Texas) Independent School District, roughly 100 miles north of Dallas, has 2,000 students across its four school campuses—and they're all Bobcats, says Lizzy Kloiber, secondary curriculum director, referring to the district's unifying mascot. The community is tight knit, she adds, with most teachers having grown up in the district, and families regularly mingle at church or at high school football games each weekend.
In the debate over the use of value-added analysis of student data to evaluate teachers, there seems to have been an assumption that teacher evaluation alone is an effective way to improve teacher performance. Or at its crudest level, there is an acceptance that the use of value-added data analysis will lead school administrators to replace bad or mediocre teachers with effective teachers. One of the reasons that so many teachers are skeptical about this movement is that they realize teacher evaluation does not really make them better teachers, at least using traditional methods.
Raymond Pecheone believes that to fairly evaluate teachers, one must watch them teach and assess the artifacts—such as assignments, lesson plans, and reflections—they use daily. This form of assessment may seem like common sense, says Pecheone, executive director for the Stanford University Center for Assessment Learning and Equities Scale, although it has really been a long time coming. Specifically, this assessment, which began with performance assessments for the licensing of teachers in California, has been 20 years in the making.
When Education Secretary Arne Duncan announced the Race to the Top program in 2009, he added two success factors to the plate of school districts, which are traditionally measured by students’ high school success in math, reading and science: college enrollment rates and credit accumulation. The American Recovery and Reinvestment Act of 2009, which launched Race to the Top, asks states to set up a longitudinal data system to report back on students’ progress after they receive their diplomas.
As districts collect increasing amounts of information on their students, from assessment scores to attendance records, many are finding new and better ways to use the information to catapult student achievement. They are implementing solutions such as data warehouses and data dashboards, electronic tools for storing, viewing and analyzing data, which provide immediate updates on everything relevant to their students, and adjusting instruction accordingly.
As the profession of teaching continues to get more attention given recent events, a growing number of school districts from New York to California are adopting "value-added" measures of teaching quality to award bonuses or even tenure. And two competitive federal grants are spurring them on.
I'm not your typical parent in this age of Race to the Top and Common Core Standards. I don't care so much how my kids do on the test, whether they can remember the names of Columbus' three boats (it was three, wasn't it?) or how many AP courses they are going to take in high school. I'm not much concerned with the traditional ways that my kids' school or their teachers are being evaluated.
With one year under its belt, Hillsborough County (Fla.) Public Schools embarks on its second school year of collecting data to evaluate teacher effectiveness. The two-year project, currently underway in five other districts nationwide, began in fall 2009 with a Measures of Effective Teaching (MET) grant from the Bill & Melinda Gates Foundation. The data collection strategies include digital video recording, student assessments, student surveys, and teacher surveys.