Not exact matches
Professor Thomas Kane and the team
at the Center for Education Policy Research are experts
at working closely with districts and harnessing big
data to identify effective policies and practices in
teacher preparation,
teacher evaluation, and learning technologies.
And, while they're
at it, please also offer
data, research, and
evaluation evidence that speak to the sorts of questions I posed
at the outset: How well is differentiated instruction carried out and by how many
teachers?
Moreover, summative assessment sat
at the core of many of the policy reforms that the leaders described: additional accountability levers such as
teacher evaluation systems and statewide school report cards draw on
data coming out of these summative tests to make determinations and comparisons regarding
teacher and school - level performance.
«We have been studying, along with our partners in Tennessee, how
teachers learn from each other
at work, and how performance
evaluation data might help foster and inform learning between colleagues.
The
evaluations that occurred
at each stage of the career ladder assessed
teachers on multiple «domains of competence» using several distinct
data sources (such as student and principal questionnaires, peer
evaluations, a
teacher's portfolio, and a written test).
The establishment of annual systematic student testing and
data collection systems
at the school, district, and state levels has created an opportunity for policymakers to link
teacher evaluations and tenure to student performance in a way that was heretofore impossible.
The district wants to use test score
data as one of several measures in its new
evaluation system, as it is currently doing in a voluntary program involving nearly 700
teachers and administrators
at more than 100 schools.
The policy requires that
at least 40 percent of
teachers»
evaluation be based on a value - added model (VAM)-- a model that comprises a bewildering formula that incorporates test
data from students they do not teach or from subjects they do not teach.
In most cases, new
teacher evaluations will consist of two parts: observations of classrooms, which look
at how
teachers teach; and outcomes on tests, including scores for students and value - added
data, which measure how students progress.
CEC helped RPS revise its
teacher evaluation process and learn to use student growth measures before implementing PAR; conduct and analyze a detailed system assessment before beginning strategic planning; and develop a
data - based decision - making culture
at the school level before the implementation of SMART Goals as a school improvement process.
In addition, Louisiana, Florida, Colorado and a handful of other states have pledged in their Race to the Top bids to make student academic growth
data account for
at least half of a
teacher's
evaluation.
«I thought it was generous for 20 percent to be
data,» says Kristen Dawn, a German
teacher at Ben Davis High School and president of the Wayne Township Classroom
Teachers Association, which provided input to district administrators developing the
evaluation system.
His passion is to use
data to improve educational outcomes, so he jumped
at an opportunity to work in the Louisiana Department of Education, serving as a project manager for the new
teacher evaluation platform.
«We worked hard
at the bargaining table to craft a system that intelligently uses student
data in the
evaluation of
teachers,» he said.
For classroom
teachers, as defined in s. 1012.01 (2)(a), excluding substitute
teachers, the student learning growth portion of the
evaluation must include growth
data for students assigned to the
teacher over the course of
at least 3 years.
The study sample included four districts that were «fully implementing» their
teacher evaluation systems
at the time
data were collected in 2012 and early 2013, and four districts that were considered to be «partially implementing» their systems.
States will also need to develop a plan for using
teacher -
evaluation data to make sure
at - risk students are getting their fair share of quality
teachers.
Because state legislators,
at the behest of the National Education Association's affiliate there, refused to pass a law back in February allowing the use of test score growth
data in
teacher evaluations.
At least 50 percent of a classroom
teacher's or school administrator's performance
evaluation, or 40 percent if less than 3 years of student performance
data are available, shall be based upon learning growth or achievement of the
teacher's students or, for a school administrator, the students attending that school; the remaining portion shall be based upon factors identified in district - determined, state - approved
evaluation system plans.
New
teacher evaluation systems demand the inclusion of student
data at a time when scores on new assessments are dropping.
Prior to her current role, Cara conducted research and
evaluation at Urban
Teachers as a Strategic
Data Fellow through the Center for Education Policy Research.
Prior to joining MCPS, she was the Assistant Director of Research and
Evaluation and a Strategic
Data Project fellow
at Urban
Teachers, a residency - based
teacher preparation program.
And parents don't know that our district will be the model for all others — because we do it best — we will collect SSP
data in the form of social and emotional surveys, we will change our curriculum to socially engineer our children with social and emotional instruction without parents suspecting a thing, we will assess and survey up the wazoo about academics, school climate, cyberbullying, etc. while willing parents stand by, we will enhance our
teacher evaluation program and refine it into a well - oiled
teacher manipulation machine, and since our kids would do well no matter what because we have uber - involved parents, it will look like everything the Administrators are doing
at the State's recommendation causes the success.
Weston is only now searching for an online tool to manage
teacher evaluation data, unlike many districts that started out looking
at the new
teacher evaluation guidelines through a
data management software lens.
Because
evaluations are set
at the local level, Ritz says districts using other
teacher evaluation systems could also minimize how ISTEP
data is used to determine merit pay.
Specifically, officials
at the state and district levels have had difficulty building staff capacity for implementing the reforms, meeting the requirements to develop
teacher evaluations and increase student learning time, and gathering
data on performance in SIG schools to make decisions about future grant renewals.
April Bain, a math
teacher at Downtown Magnets High School, said she was «flabbergasted» the district rates
teachers without considering student achievement and hopes the decision will force it to add student test
data to
evaluations.
If there are not student growth and assessment
data available for a
teacher or administrator for
at least three school years, the annual year - end
evaluation shall be based on all student growth and assessment
data that are available for that
teacher or administrator.
New York City
teachers recently balked
at a proposal to include student test
data in the
evaluations.
If there are student growth and assessment
data available for a
teacher or administrator for
at least three school years, the annual year - end
evaluation shall be based on the student growth and assessment
data for the most recent three - consecutive - school - year period.
Test
data should only be used in
evaluations provided that the district and administrators
at each school adequately support
teachers» professional growth in those areas identified as «needing improvement.»
Both moves have guaranteed that the two unions have gotten their way on nearly every educational issue — including the passage of a law last year that bans districts from laying off
teachers at the expense of fewer days in school for children in need of more time in classrooms, and Brown's decision to cancel funding for the CalTIDES
teacher data system (effectively ending efforts to overhaul
teacher evaluations).
According to PEAC members, some of the issues that PEAC and state officials should look
at include the requirement that statewide test
data be included in
evaluations, the strict formulaic approach of the system that limits judgment and takes an inordinate amount of time away from teaching and learning, specified
teacher rating categories that interfere with improvement, and evaluator training that may not ensure calibration.
Paul Ronevich, science
teacher at the Pittsburgh Science and Technology Academy, will discuss his experiences using the
data from student surveys, and William Hileman, Vice President of the Pittsburgh Federation of
Teachers will discuss the challenges and policy implications of integrating student surveys into
teacher evaluations.
There are two preconditions: A state must have an approved application for stabilization funds, and
at the time of applying, there must be not any legal, statutory, or regulatory barriers
at the state level to linking
data on student achievement or student growth to
teachers and principals for purposes of
evaluation.
We will support evidence - based policy reforms aimed
at ensuring principals have the autonomy and
data they need to lead schools with strong cultures focused on improving teaching and learning, and that they are trained to use
teacher evaluations to deliver high - quality observations and feedback.
It also will be recommended that local boards only grant tenure to
teachers who achieve
at least an «effective
teacher» rating on the new multiple - measure
teacher effectiveness
evaluation, of which a significant portion will be based on student achievement
data.
While
at Mathematica, he was primarily responsible for
data management and analytic tasks for education
evaluations for the Institute of Education Sciences of the U.S. Department of Education, which covered areas such as
teacher collaboration, the effectiveness of K - 3 mathematics curricula, and the implementation and effects of Race to the Top and School Improvement Grants.
Evaluating
Teachers: The Important Role of Value - Added, a new report from the Brown Center on Education Policy
at Brookings, addresses key issues in the use of value - added
data and concludes that it has an important role to play in
teacher evaluation.
«[W] e will no longer invest directly in new initiatives based on
teacher evaluations and ratings,» Gates said, adding his foundation «will continue to gather
data on the impact of these systems and encourage the use of these systems to improve instruction
at the local level.»
Configure summative
evaluation systems and manage internal and imported
data, generating final reports
at the
teacher, school, or district level.
Policy Points also reveals that 38 states use
at least four rating levels to differentiate
teacher performance, and just over a dozen states base 50 percent or more of a
teacher's
evaluation on student learning
data.
However, I see one massive problem — and it's a problem that no one, Brill included, seems interested in addressing: Everyone wants to tie these new
teacher evaluations to student performance
data, but no one wants to talk publicly about the fact that we lack sufficient metrics for truly evaluating the full extent of whether or not young people are learning and achieving
at high levels.
As part of each
teacher's regular
evaluation, some districts already look
at student test score
data that demonstrate how much students advanced while working with that
teacher (value - added
data).
See also the recommendations offered, some with which I agree on the observational side (e.g., ensuring that
teachers receive multiple observations during a school year by multiple evaluators), and none with which I agree on the value - added side (e.g., use
at least two years of student achievement
data in
teacher evaluation ratings — rather, researchers agree that three years of value - added
data are needed, as based on
at least four years of student - level test
data).
By creating
data - based professional development plans, district leaders can address
teachers» strengths and opportunities for improvement identified during performance
evaluations at the district, school and individual level.
This means that USDE's proposed
evaluations of specific
teacher education programs (e.g., art education
at Ohio State University) will be aided by the use of extensive «
teacher of record»
data routinely gathered by schools and districts, including personnel files that typically require the
teacher's college transcripts, degree earned, certifications, scores on tests for any
teacher license and so on.
Thirty - nine states incorporate objective measures of student achievement
data into
teacher evaluations, and of those, 17 report it is the most significant factor.55 And most states now use
at least three tiers to differentiate
teachers (Figure 6).
Data analysis of the student and
teacher evaluations can help administrators identify students who are currently struggling,
at - risk students, and some of the underlying factors that cause students to struggle in their school or district.
ASCD's newest issue of Policy Points (PDF) also reveals that 38 states use
at least four rating levels to differentiate
teacher performance, and just over a dozen states base 50 percent or more of a
teacher's
evaluation on student learning
data.