Sentences with phrase «chosen evaluation models»

Arizona districts are required to implement their chosen evaluation models by the 2013 - 2014 school year.

Ohio districts are required to select their chosen evaluation models by July, 2013.

Washington school districts are required to implement their chosen evaluation models by the 2013 - 2014 school year.

Not exact matches

The Marzano Causal Teacher Evaluation Model has been chosen by Washington's Superintendent of Public Instruction and Washington's Teacher / Principal Evaluation Pilot as one of three preferred evaluation models, not least because the focus of the model is squarely on teacher development and increased student acEvaluation Model has been chosen by Washington's Superintendent of Public Instruction and Washington's Teacher / Principal Evaluation Pilot as one of three preferred evaluation models, not least because the focus of the model is squarely on teacher development and increased student achieveModel has been chosen by Washington's Superintendent of Public Instruction and Washington's Teacher / Principal Evaluation Pilot as one of three preferred evaluation models, not least because the focus of the model is squarely on teacher development and increased student acEvaluation Pilot as one of three preferred evaluation models, not least because the focus of the model is squarely on teacher development and increased student acevaluation models, not least because the focus of the model is squarely on teacher development and increased student achievemodel is squarely on teacher development and increased student achievement.

See why Lyon County, Nevada, spearheaded by Deputy Superintendent Wayne Workman, chose the Marzano Teacher Evaluation Model and the iObservation technology platform for its first year of evaluation impleEvaluation Model and the iObservation technology platform for its first year of evaluation impleevaluation implementation:

Even the most flexible of those models — «transformation,» the one chosen by nearly three - quarters of participating schools — requires districts to devise teacher - evaluation systems that take student performance into account.

The school district chose The Art and Science of Teaching by educational researcher Dr. Robert Marzano as its evaluation model, feeling that, as part of a fair and consistent evaluation process with specific feedback to improve skills, this provides the most feedback for teachers on effective instructional practices and outlining specific, high probability teaching strategies shown to lead to higher student achievement when implemented correctly.

School districts across Washington are now in the process of choosing a teacher evaluation model that aligns with state requirements (see the Marzano Teacher Evaluation Model alignment docuevaluation model that aligns with state requirements (see the Marzano Teacher Evaluation Model alignment document model that aligns with state requirements (see the Marzano Teacher Evaluation Model alignment docuEvaluation Model alignment document Model alignment document here.

The TLE Commission chose the Marzano Causal Model from a field of six frameworks, as one of three approved teacher evaluation models.

The program allows schools to choose from four turnaround models: closing schools, turning schools over to a charter school management organization, shifting evaluation and curriculum, or replacing some staff.

For some, there is a single evaluation model for the entire state, which very different from the pilot program in New Jersey, where each district can choose from a menu of options.

While Danielson clearly leads the pack, about 40 percent of districts reporting have chosen other evaluation models.

Charlotte Danielson Framework for Teachers — 291 districts Stronge Teacher and Leader Effectiveness Performance System — 53 districts Mid-Continent Research for Education and Learning (McREL) Teacher Evaluation Standards — 45 districts Marzano's Causal Teacher Evaluation Model — 44 districts The Marshall Rubrics — 32 districts The state also released data on new principal - evaluation models chosen by New Jersey school Evaluation Standards — 45 districts Marzano's Causal Teacher Evaluation Model — 44 districts The Marshall Rubrics — 32 districts The state also released data on new principal - evaluation models chosen by New Jersey school Evaluation Model — 44 districts The Marshall Rubrics — 32 districts The state also released data on new principal - evaluation models chosen by New Jersey school evaluation models chosen by New Jersey school districts.

Many district employees were part of the process, and the Marzano teacher evaluation model was chosen from a list of four programs.

School districts across Arizona are now in the process of choosing or developing a teacher evaluation model that aligns with state requirements.

Choose from a range of evaluations, surveys and questionnaires created by NI Schools and models of best practice.

The General Circulation Models (GCM) driving the regional models chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patModels (GCM) driving the regional models chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patmodels chosen are rated in the top 25 %, according to a performance evaluation of CMIP5 models carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patmodels carried out by Perez et al. (2014), in their ability to reproduce spatial patterns and climate variability over the north - east Atlantic region, that is the most influential on the European weather patterns.

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series