Sentences with phrase «warning systems data»

School Transitions, which combine early warning systems data with content that promotes social, emotional, and behavioral competence

Therefore, the purpose of this session — «Using Early Warning System Data to Ensure Students Don't Fall Through the Cracks» — is to examine which student - level indicators can be used to predict on - time cohort graduation and how those indicators can be systematically monitored through Performance Matters» Early Warning System.

You can also learn how to use Early Warning System data to ensure students don't fall through the cracks in our Unify Act: Driving Student Growth strand.

Not exact matches

Considering the sprawling, federated nature of U.S. medicine, experts warn that a combination of government policies and health IT upgrades — as well as prophylactic human measures like changing passwords — will be necessary to keep patients» data safe and health systems functioning.

On Nov. 24, computer screens of Sony employees flashed a warning indicating the company's computer systems had been compromised and data had been stolen.

Scherz noted that the system is a cost - effective solution to market drivers including private - label branding, regulatory compliance and supply chain optimization that push users to increase their use of product pictures, logos, color warnings and variable data elements.

The Air Defense Enhanced Early Warning Systems Operator evaluates and communicates critical data about incoming enemy aerial and missile attacks and aerial surveillance by operating, maintaining and managing modern complicated military computers on complex networks, and utilizing sophisticated communications equipment.

Nassau has had a digitized internal affairs unit for nearly two decades, said Krumpter, using IAPro, a software that utilizes data mining and has an early warning system built in to flag patterns.

This is what we know: the Electoral Commission is still assessing claims that potentially illegal donations were made; the information commissioner is investigating «possible illegal» use of data; the heads of MI6 and GCHQ have both voiced unprecedented warnings about foreign interference in our democratic systems; the government has refused to elaborate on what these are; one of the leave campaigns has admitted the undeclared support and help of the American hedge fund billionaire who backed Trump; the Crown Prosecution Service is being asked to mount a criminal investigation; and questions have been raised about possible unlawful collaboration between different elements of the leave campaign.

The team has also been tweaking its network detection algorithm, which powers the centralized system that analyzes the smartphone data and relays warnings.

John Brownstein, chief innovation officer at Boston Children's Hospital and a Harvard Medical School professor, said during his presentation that his researchers have been collecting patient - generated information from alternative data sources and converting it into an early warning system for disease.

For example, University of Maryland electrical engineering researcher Mehdi Kalantari is designing a wireless early warning system made up of tiny sensors that can monitor a bridge's structural integrity and transmit that data to a central computer for analysis.

For the Hayward fault simulations, the authors show that GPS data combined with a technology called SBAS (satellite - based augmentation system) could be used to issue warnings five seconds before strong seismic waves from a magnitude 7 earthquake reached major population centers such as San Francisco and San Jose.

However, in order for a crowdsourced warning system to become a reality, the authors say, smartphone manufacturers would have to allow consumer smartphones to access C / A-code data — a minor software fix.

While previous studies have investigated earthquake early warning systems based on scientific - grade GPS data, most regions at risk for earthquakes don't have the infrastructure needed to monitor earthquakes at this level.

An Earth - based early alert system, based on particle data, might give less warning but be significantly more accurate.

Researchers are using satellite data to accurately map the movement of the earth before a landslide in a bid to develop a life - saving early warning system.

Faster data transfer would allow new power maps every 10 minutes or so, Anderson says, possibly leading to a system to warn electrical utilities and satellite operators about approaching hot spots.

NOAA, NASA, EPA, and the U.S. Geological Survey announced, in April, a $ 3.6 million multi-agency research effort designed to be an early warning system for freshwater nuisance and toxic algal blooms by using satellites that can gather color data from freshwater bodies during scans of the Earth.

The development of ShakeAlert has shown that a dense network of seismic stations, swift transfer of seismic data to a central processing and alert station, speedy paths for distributing alert information to users, and education and training on how to use the alerts are all necessary for a robust early warning system, said Monica Kohler, a Caltech research faculty member in the Department of Mechanical and Civil Engineering.

The early warning module, called G - FAST, uses ground motion data measured by Global Navigation Satellite Systems (GNSS) to estimate the magnitude and epicenter for large earthquakes — those magnitude 8 and greater.

His research interests include the effects of surface geology on seismic motion, strong - motion data analysis, source parameters, application of signal processing with focus on borehole data, early warning systems and multihazard and multirisk assessment.

His research interests include the study of large earthquakes and warning systems through the combination of geodetic and seismic data sets.

By launching electronic sensors into the funnel, the storm chasers hope to obtain enough data to create an improved warning system.

By launching electronic sensors into the funnel, the storm chasers hope to obtain data to create an improved warning system.

Several districts use some version of a data - driven early - warning system.

O'Cummings says the value of early warning indicator systems» close scrutiny of the data — like naming names of mysteriously missing first - graders, as Superintendent Starr is hoping for in Montgomery County — is moving educators beyond assumptions: behavioral or demographic.

The end result of the incubating work, as well as continued work on the data, will be to test and build an early warning indicator system founded on the Montgomery - specific experience.

Three Strategic Data Project fellows, Chung Pham, Tracy Keenan, and Megan Marquez, are in Denver developing an early warning indicator system that tracks student progress in the Denver Public Schools from K — 12 toward high school graduation and college readiness.

There seems to be no consensus about whether the across - the - board increases in U.S. graduation rates reported by the federal government last week are the result of No Child Left Behind - era accountability mechanisms or the data - based decisionmaking stressed under the Obama administration, more early - warning systems to identify potential dropouts, or fewer high school exit exams.

According to the most recent count by the Data Quality Campaign, for 2012, 28 states use early - warning systems, with more in development.

The Virginia Early Warning System (VEWS) relies on readily available data — housed at the school — to predict which students are at risk for dropping out of high school; target resources at the school - and division - level to support students not on track to graduate while they are still in school and before they drop out; examine patterns and identify school climate issues that may contribute to disproportionate dropout rates.

AIR has developed the EWS Online Tool to facilitate an effective early warning system by providing educators the necessary data from across data systems in an easy - to - access platform.

An early warning system (EWS) uses readily available data to identify students who are at risk of failing to meet key educational milestones, allowing educators to intervene early.

A data guided, tiered student support system that uses early warning indicators and an integrated system of whole school, targeted and intensive supports to get the right intervention, to the right student, at the right time at the scale and intensity required (along with rapid recovery options when this does not work).

Sparks's piece for Education Week, published July 29, 2013, includes the national context that 28 states are now using early - warning data systems to help identify potential high - school dropouts, citing a -LSB-...]

Posted in: School Climate & Culture, Behavior Progress Monitoring, Behavior RTI, Early Warning System, Using Culture Data

Schools and districts can incorporate resiliency data into their early warning systems.

Early warning systems are a data - based decision making process designed to identify and support students at risk of not graduating on time.

Early Warning Systems (EWS) combine predictive student data with a response system to ensure that all students have the support in order to be on - track to high school graduation and post-secondary success.

Early warning indicators and data systems can identify students at risk of dropping out and in need of support to improve academic performance.

We are also interested in policies that help struggling high school juniors and seniors «catch up» academically to avoid spending valuable time on remediation in college, and interventions, such as early warning systems and freshman on - track systems, that use data to reduce high school dropout rates.

Broadcast on October 8, 2013, this hour - long webinar examines how Johns Hopkins» Talent Development Schools incorporate resiliency data into their system of early warning indicators.

With permission of and in collaboration with the NHSC, the Texas Comprehensive Center (TXCC) at SEDL adapted the EWS to produce a customized database version called the Early Warning Data System (EWDS).

The Texas Education Agency (TEA) and the TXCC conducted a webinar on the Early Warning Data System (EWDS) on November 12, 2013.

Liljengren will collaborate with staff and provide coaching on using early warning systems to collect data associated with a risk of high school dropout and how to provide appropriate supports to students who are veering off - track for high school graduation.

From Accountability to Prevention: Early Warning Systems Put Data to Work for Struggling Students

In order to support schools in this process, states and districts should collect and report data on a variety of indicators, such as measures that may be leading indicators for early warning systems.

Early warning systems to detect high - school dropouts are all the rage in education data circles.

Stand's focus during the 2018 session was centered on two High School Success policies: Academic Acceleration and Early Warning Data Systems.