Sentences with phrase «statistical education of teachers»

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Commenting on the publication by the Department for Education of School Workforce statistical data on headteachers» salaries, Chris Keates, General Secretary of the NASUWT, the largest teachers» union, said: «Headteachers and other school leaders have an important and critical job to do in leading and managing teaching and learning in schools.
We demonstrated that a regression - based statistical correction for the proportion of the students in each teacher's class that are English - language learners, have education disabilities, are from low - income families, and so forth, wrings most of the bias out of classroom observations.
Vedder's claims are backed up by Michael Podgursky, who applies a critical eye to the surveys of teachers» salaries reported in U.S. Department of Education statistical publications.
Although panels of scholars warned against using VAMS to make high - stakes decisions because of their statistical limitations (American Statistical Association, 2014; National Research Council & National Academy of Education, 2010), policymakers in many states and districts moved quickly to do just that, requiring that VAMS scores be used as a substantial component in teacher evstatistical limitations (American Statistical Association, 2014; National Research Council & National Academy of Education, 2010), policymakers in many states and districts moved quickly to do just that, requiring that VAMS scores be used as a substantial component in teacher evStatistical Association, 2014; National Research Council & National Academy of Education, 2010), policymakers in many states and districts moved quickly to do just that, requiring that VAMS scores be used as a substantial component in teacher evaluation...
The students, administrators, and teachers at the schools Education World visited were eager to share their stories — anecdotes no one will read in statistical assessments of their schools.
More recent research backs up this view, argued University of Washington professor Dan Goldhaber in a retrospective about the report for Education Next: «New empirical work, using better data... and more sophisticated statistical techniques has, in broad terms, reinforced the Coleman Report conclusion that teacher quality is the most important schooling variable.»
Since we used statistical models that included many observable school -, teacher -, and class - level variables — such as school and class size, teachers» levels of education and experience, and schools» demographic makeup — it is clear that the things that make schools and teachers effective defy easy measurement.
The American Statistical Association concluded recently that teachers account for about 1 per cent to 14 per cent of the variability in test scores, and that the majority of opportunities for quality improvement are found in system - level conditions.4 In other words, most of what explains student achievement is beyond the control of teachers or even schools, and therefore arguing that teachers are the most important factor in improving the quality of education is simply wrong.
Kevin Courtney, joint general secretary of the National Education Union, comments on the Department for Education's statistical release on Initial Teacher Training (ITT) for 2017/18:...
Linda Darling - Hammond and colleagues have cautioned that statistical models can not fully adjust for teachers who have a disproportionate number of students with greater challenges, or whose scores on traditional tests may not accurately reflect their learning, such as special education students; English language learners; and those affected by poor attendance, homelessness, or severe problems at home.
A study released yesterday by Mathematica Policy Research (and sponsored by the U.S. Department of Education) titled «Teachers with High «Value Added» Can Boost Test Scores in Low - Performing Schools» implies that, yet again, value - added estimates are the key statistical indicators we as a nation should be using, above all else, to make pragmatic and policy decisions about America's public school tTeachers with High «Value Added» Can Boost Test Scores in Low - Performing Schools» implies that, yet again, value - added estimates are the key statistical indicators we as a nation should be using, above all else, to make pragmatic and policy decisions about America's public school teachersteachers.
However, students are not randomly assigned to teachers — and statistical models can not fully adjust for the fact that some teachers will have a disproportionate number of students who have greater challenges (students with poor attendance, who are homeless, who have severe problems at home, etc.) and those whose scores on traditional tests may not accurately reflect their learning (e.g. those who have special education needs or who are new English language learners).
Specific provisions included scholarships and loans to students in higher education, with loans to students preparing to be teachers and to those who showed promise in the curricular areas of mathematics, science, engineering, and modern foreign languages; grants to states for programs in mathematics, science, and modern foreign languages in public schools; the establishment of centres to expand and improve the teaching of languages; help to graduate students, including fellowships for doctoral students to prepare them to be professors at institutions of higher learning; assistance for the improvement of guidance, counseling, and testing programs; provisions for research and experimentation in the use of television, radio, motion pictures, and related media for educational purposes; and the improvement of statistical services at the state level.
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