Sentences with phrase «important test data»

The most important test data for all public schools is that used by states to measure student achievement, and in the case of charter schools, decide whether they may continue to operate.

Not exact matches

«My idea of an app that is really good is one that has had rigorous testing to say that «this really helps,» with proper groupings,» Sridhar says, adding that it's important for any app to do this before making any assumptions on its data.

Sure it's important to be able to navigate around a balance sheet, cash flow statement and income statement, but the really great investors spend their time reading, thinking, focusing on the qualitative data and testing ideas.

the proof of Gods presence in us is not limited to the material or biological evolutionary development only, but most important scientific proof is the effect of His will in historical development of the world.A computer program now used and tested a powerful machine by inputing all recorded events in history during the last hundreds years and found out that it has a purpose and not random.Meaning that an intelligent being could have influence it.It is now presumed by the religious observers that it could be His will.The process now is under improvement, because the computers is not powerl enough the deluge of information and data since the beginning of history, some analyst believes that in them near future if the Quantum computers which is much powerful than the present coventional will be used, then dramatic results and confirmation will be at hand.

Another, equally important, feature: the test plant is designed for both continuous and batch operation, and a PLC logs measured values and process data.

It is important to mention this to avoid misinterpretations, sure, but the study seems to be american - centered (there are tests of this method in European coutries, but if I read correctly the graph is only taken from US data).

Another important design consideration is the types of statistical tests that will be used on the data.

«Testing these contrasting hypotheses was an opportunity to not only help people understand and plan for diversity changes after extreme weather events, but also to provide important data that would move the field of ecology forward.»

The authors conclude that «the data strongly support the view that human emissions play an important role in climate change and represent a key test for climate change theory.»

«This is a globally unique data set in which we can control for genetics and test for the effect of experience,» said UMD Biology Professor William F. Fagan, a co-author of the paper, «and it gives us an indication of just how important this kind of socially learned behavior is.»

«You can not really test the idea that animal reservoirs are important other than building a model from the data available.

«In light of findings from the study, the dental visit could be a useful opportunity to conduct diabetes screening among at - risk, undiagnosed patients — an important first step in identifying those who need further testing to determine their diabetes status,» said the study's principal investigator, Dr. Shiela Strauss, associate professor of nursing and co-director of the Statistics and Data Management Core for NYU's Colleges of Nursing and Dentistry.

Even more important, the thermal - vacuum test enabled us to get significant runtime on the avionics and components within the spacecraft, emulating the communication cadence and data streams that we would eventually see on orbit.»

These approaches are important complements to empirical studies, generating new predictions that we can test with genomic data or in field or greenhouse experiments.

While we will reviews what early tests have shown and what the science says so far, it is important to understand that HIIT has not been in the scientific eye all that long, so most tests are relatively new and there's a limited amount of total data available at this point.

«NAPLAN is a point - in - time test of a just a few, albeit important — subjects which can be compared to the same data collected at other times and around Australia, to help work out, among other things and alongside other data, the effects of different education programs and policies, and the places where additional resources could make the greatest impact.

We also need to continue explorations of data of all types (not just test scores), building on, for example, important research that's helping us develop early warning indicators to prevent students from dropping out.

But civil - rights advocates have recognized that shining light on disparities of result, such as the requirement that test data be disaggregated by racial and income groups under NCLB, is an important first step to reform.

Syncing data from all these with an LMS offers several advantages such as important employee data getting automatically updated, critical compliance tests automatically scheduled, data from across different platforms available to access complex reports etc..

The skills of making and testing hypotheses and analysing data are important both in mathematics and in scientific enquiry.

The test - score data were adjusted statistically to account for any observed differences between the two groups, such as level of family income - an important predictor of academic performance - that might have biased the results.

Because, oftentimes when I talk to teachers and I say «data are really important to school improvement», they're thinking standardised test data; data that might come from the government or might be administered outside of their own classroom.

The last and most important piece is hard and fast data, such as interim assessments and state tests.

These tests help students understand one of the myriad reasons it is important to study vocabulary, and how these practice tests provide me with a great source of data to measure student growth.

As described in the articles in this issue, school staff routinely find themselves pressed into service as testing coordinators, substitute teachers, chaperones, data analysts, and so on, diverting them from the important roles that they are ready, willing, and prepared to play in students» lives.

Data from college admissions tests can provide a valuable measure of student achievement, but the non-representativeness of test - takers is an important concern.

The recent ubiquity of standardized test scores has provided new data on just how poorly some schools are performing — particularly schools filled with lower - income and minority students, whose parents make up an important Democratic voting base.

Standardized test scores are an important data point that can tell us something about the overall effectiveness of our curriculum, instruction, and school programming.

Looking at data over at least two or three years is important; test scores can vary a lot from year to year.

As important as it is to question whether test data can measure teacher performance, is the need to consider the collateral damage to education, learning, school climate, etc., that such a misguided one - dimensional approach has had.

So, it is doubly important that Carnegie commissioned McKinsey to use the reformers» data «to test whether or not it might be possible to avoid large drops in graduation rates using human capital strategies alone.»

beyond test scores (like SBAC state testing) to include a variety of other important topics like teacher retention, the history of superintendents, and the accountability through the new CA data dashboard.

It's important to look at the data on which rankings are based to see what's really going on with test scores.»

Another common mistake is to make raising test scores the primary goal, displacing the more important goal of gathering rich data that suggest what adjustments are likely to increase student understanding.

Even for teachers with relevant student test score data available for evaluations, it is critical to use multiple measures to capture the myriad of important things teachers are expected to do.

The lesson of the NRC - NAEd report is that even though value - added methodologies offer a number of advantages over other approaches that consider test - score data in a vacuum, policymakers need to move carefully in adopting any approach — value - added or otherwise — in making important decisions about individual teachers.

Making sure the value - added data and the observation ratings are in the same ballpark is an important test of accuracy for both measures, according to a study published last year by Measures of Effective Teaching, a research project funded by the Bill & Melinda Gates Foundation.

This is an important question because it appears that the Obama administration is essentially allowing any evaluation system to gain its blessing long as it has unspecified use of longitudinal student test score growth data as one of the main components.

At HP's invitation, the Using Data staff will lead teachers through discussions, introduce field - tested strategies for data analysis, and scaffold the integration of best practices that ensure that data is an important component of the teaching procData staff will lead teachers through discussions, introduce field - tested strategies for data analysis, and scaffold the integration of best practices that ensure that data is an important component of the teaching procdata analysis, and scaffold the integration of best practices that ensure that data is an important component of the teaching procdata is an important component of the teaching process.

Testing serves an important purpose, but the tests have to be targeted and meaningful so that teachers have the data they need to plan effective lessons.

This is particularly important as illustrated in the prior post (Footnote 8 of the full piece to be exact), because «Teacher effectiveness ratings were based on, in order of importance by the proportion of weight assigned to each indicator [including first and foremost]: (1) scores derived via [this] district - created and purportedly «rigorous» (Dee & Wyckoff, 2013, p. 5) yet invalid (i.e., not having been validated) observational instrument with which teachers are observed five times per year by different folks, but about which no psychometric data were made available (e.g., Kappa statistics to test for inter-rater consistencies among scores).»

But there is an even more important reason to reduce the role of standardized testing data in teacher evaluation.

The NWEA MAP test is an important external measure that we use to gather data in order to further support participating schools.

Are you really willing to believe the political posturing and bureaucratic claims that, in essence, come down to obtaining one data point in order to meet the all - important 95 % Test Participation Rate required by the Every Student Succeeds Act and the federal U.S. Department of Education?

Specifically, claims of success were based on reports that omitted important factors for student learning and test score outcomes and utilized crude data supported by isolated, small effect sizes.

In contrast, perhaps testing and accountability do indeed provide important, actionable data, and it is the state's, district's, or school's responsibility to help teachers ready their students for these tests.

She spoke about how tests are important, but how we lose the «soul» of what education is about when we focus too much on data points and not enough about what kind of people we want our students to be.

While the test may appear a failure, vast amounts of important data have been gathered by the team concerning the power unit, electronics and the car itself.

«These crash tests will give FHWA important data about how the ET - Plus performs, but they are only one action among several efforts we're undertaking on behalf of the American driving public.»

One of the most important part of any crash test are the dummies, which allow testing teams to gather data about how a body would react in a crash.