Sentences with phrase «education data model»

(Florida does not even use the National Education Data Model and has its own version called PK20 data warehouse.)

Many Common Core opponents, including in Florida, point to the National Education Data Model to argue that Common Core will lead the government to collect hundreds of data elements on students.

Interview, Alexander Jackl, chief architect Choice Solutions, Inc. education data software company and member of the Common Education Data Standards Working Group, and one of the original authors of the National Education Data Model, Oct. 17, 2013

We interviewed Alexander Jackl, chief architect Choice Solutions, Inc., an education data software company and one of the original authors of the National Education Data Model.

The report zeroes in on something called the National Education Data Model, which lists hundreds of data elements.

Not all the Alabama data points can be readily identified, but the National Education Data Model recommends 400 data points on each child including health, family income, political persuasion, and philosophical factors.

Not exact matches

- retirement savings and income - Pre-59 1/2 72t Calculations (avoiding penalty tax)- college savings and 529 plan illustrations - college cost and tuition data - Coverdell education savings - risk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculamodel portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculaModel Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculations

- retirement savings and income - Pre-59 1/2 72t Calculations (avoiding penalty tax)- college savings and 529 plan illustrations - college cost and tuition data - Coverdell education savings - risk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculamodel portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculaModel Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculations

It creates a model using data from the Federal Reserve Board's Survey of Consumer Finances and other datasets to estimate household debt and assets, comparing the projected debts and assets of a college - educated household with average levels of education debt to a similar household without debt.

According to the «Berlin» model, theological education is a movement from data to theory to application of theory to practice.

«In the area of education the spectrum is so broad, that from anything that has to do with data you can extract some juice, turning it into information, and, from there, develop or improve new models.

A district - level reform model created by the Center for Data - Driven Reform in Education (CDDRE) provided consultation with district leaders on strategic use of data and selection of proven progrData - Driven Reform in Education (CDDRE) provided consultation with district leaders on strategic use of data and selection of proven progrdata and selection of proven programs.

Those workshops helped to inventory the resources necessary for successful data - driven initiatives, describing models of effective partnerships between producers of big data and its consumers, inside and outside of education.

Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence, an award - winning new book coauthored by Willett and Judith Singer, the School's Conant Professor of Education and academic dean, offers the first accessible, in - depth presentation of the field's most recent advances.

Two Rivers» nationally recognized, high - quality professional development was featured in the book «Data Wise in Action,» and its excellent teaching staff and deeper learning model were recently celebrated in the Education Week article, «Is Intellectual Courage the Key to Great Teaching?»

Dungan recently launched a parent - education curriculum and has hired a researcher to gather periodic data to assess the efficacy of the model.

In addition to writing and co-writing nearly 100 papers and book chapters, she has also co-written three books: By Design: Planning Better Research in Higher Education, and Who Will Teach: Policies that Matter (both published by Harvard University Press), and Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence (Oxford University Press), which received honorable mention from the American Publishers Association for the best mathematics & statistics book of 2003.

(3) See, for example the chart on page 130 of Distance Education for Teacher Training: Modes, Models and Methods, where I encapsulate some of the data outlining differences on the impact of a good teacher in wealthy and poor countries.

And governor - turned - education reformer Jeb Bush wants the entire country to emulate Florida's model of charters, vouchers, standards, school - based accountability, better data, and a limited form of merit pay.

Currently, Goble is survey director for an evaluation of Youth CareerConnect, which encourages school districts, institutions of higher education, the workforce investment system, and their partners to scale up evidence - based high school models, overseeing all data collection as well as design and administration of parent and student surveys.

To analyze the experimental question data, I modeled state education policy makers» policy preferences (0 = support; 1 = oppose) as a function of the control / treatment group to which they were randomly assigned.

Bob served as Minnesota's Commissioner of Education in the late 1990's leading Minnesota's innovative standards and measurement initiatives, electronic data collection systems and new finance models including having revenue following students to the sites they attend.

Source: Grattan school funding model, based on analysis of data from the Commonwealth Department of Education and Training

SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), «State Nonfiscal Survey of Public Elementary / Secondary Education,» 2000 — 01 through 2014 — 15; and State Public Elementary and Secondary Enrollment Projection Model, 1972 through 2026.

With growing interest in technology - based learning, many states are exploring state - run virtual education programs, including policies and procedures, staffing, funding models, and data reporting.

With support from Lumina Foundation for Education and the Bill & Melinda Gates Foundation, the Evaluation Toolkit was developed for two purposes: (1) To develop a freely accessible, research - based resource that will enable outreach programs to more readily and systematically use data and outcome measures to improve service delivery, and (2) promote research that will identify effective program models across outreach programs and document the collective impact of programs by using the evaluation data generated through a common assessment framework.

The descriptive analysis of the data reveal that GE Model Schools maintain the higher mean pass rates in third grade math and reading despite higher student to teachers ratios, teacher to administrator ratios, and special education populations as well as lower rates of spending on instructional supports.

Consider for example the Department of Education's 2014 Teach to Lead program, whose Teacher Leader Model Standards include leadership skills such as building collaborative cultures and using data to inform instruction.

Pedagogically sound courses built around models such as outcomes - based learning or competency - based education are enabled by data - driven, flexible online delivery platforms.

Indiana House Education Committee Chair Bob Behning, R - Indianapolis, will push a bill in the upcoming session to create a «data backpack,» based on a new Utah law the American Legislative Exchange Council recently highlighted as model legislation.

Incessant testing with no relation to the real world, the mindless collection of trivia classified as data, forcing a «business model» like Enron or Lehman Brothers or General Motors on the public schools, driving the arts and the social sciences out of the curriculum, and watching every Chancellor, Superintendent, Commissioner, and Secretary of Education promote charter schools over their own public schools at every turn.

Grattan school funding model, based on analysis of data from Commonwealth Department of Education and Training

Superintendents and union leaders looking for an alternative to a high - stakes, data - driven movement in education have showered the community schools model with praise, noting that it has expanded access to health care and social services, tackling problems thought to be causes of academic failure.

Together with our schools and partners, we create and implement innovative, data - driven models for early childhood education, to prepare children for success in school, work, and life.

The district found that it needed to start by addressing four roadblocks: the student deficit model, the tradition of handing off students to special education, teachers» overreliance on intuition instead of assessment data, and the erroneous idea that RTI is just a new pathway to special education.

The report leads to three recommendations: allocating K - 12 education funding through a student - based funding model, incentivizing innovation that supports student performance, and building a comprehensive financial data system.

• The «blended learning» model of education exemplified by the Rocketship chain of charter schools — often promoted by charter boosters — is predicated on paying minimal attention to anything but math and literacy, and even those subjects are taught by inexperienced teachers carrying out data - driven lesson plans relentlessly focused on test preparation.

But many researchers argue that value - added models don't need to control for demographic factors like poverty, race, English - learner or special - education status at the individual student level, as long as enough test score data (at least three years) are included in the formula.

Built on a growth - oriented learning progression model, Star 360 gives teachers access to a wealth of reading and math assessment data that can chart each student's cumulative growth onto education standards at dozens of touch points throughout the year.

Instead, it is a voluntary model that states can use to organize student data that they already collect, said Jack Buckley, the commissioner of the National Center for Education Statistics.

She also leads special education data collection and analysis efforts to help strengthen the position of charter schools as well as identify and replicate successful special education models for improving academic outcomes of students with special needs in charter schools throughout the state.

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 districts.

Matthew Chingos and Katharine Lindquist of the Brookings Institute's Brown Center on Education used past testing data to model the effects of opt - outs on New York teachers» evaluations.

«Data has the potential to transform education from a model of mass production to a personalized experience that meets the needs of individuals and ensures that no student is lost along the way,» said Aimee Rogstad Guidera, president and CEO of the Data Quality Campaign, a data advocacy group in D.C. that's been working to help provide best practices for staData has the potential to transform education from a model of mass production to a personalized experience that meets the needs of individuals and ensures that no student is lost along the way,» said Aimee Rogstad Guidera, president and CEO of the Data Quality Campaign, a data advocacy group in D.C. that's been working to help provide best practices for staData Quality Campaign, a data advocacy group in D.C. that's been working to help provide best practices for stadata advocacy group in D.C. that's been working to help provide best practices for states.

The six - hour Summit kicked off with a data walk, adapted from The Education Trust - West's model.

The Menomonee Falls School District is seen by many in the education field as a model for how data can be used effectively alongside traditional education work.

Reading and math scores for the nation's 12th graders have stagnated since 2009, according to new data published today, prompting U.S. Secretary of Education Arne Duncan to urge for an overhaul of the nation's high school model and amplified efforts to narrow the achievement gap for minority students.

While models with parental education and parental occupation were marginally better at predicting pupil achievement, the potential costs of switching to either of these approaches far outweighed any slight gains.Switching to either approach would require significant investment to collect data, and collecting data on parents» education levels or occupations on a national scale could be a challenge.

Specifically, the Student Progress Rating looks at how much progress individual students have made on reading and math assessments during the past year or more, how this performance aligns with expected progress based on a student growth model established by the state Department of Education, and how this school's growth data compares to other schools in the state.

For the 12 years that Michael Bloomberg served as mayor of New York City, the Big Apple was home to the United States» largest experiment in implementing the business model of education reform — a model based on sink - or - swim accountability overwhelmingly focused on standardized test data.