Sentences with phrase «includes observation data»

It includes observation data up to 2004.
A recent Rand report1 mentions that schools too rarely gather and study nontest data, including observation data on instruction and reform implementation, results from stakeholder satisfaction surveys, and reviews of student work.

Not exact matches

The chief techniques for gathering such data include mail questionnaires, interviews, retail store shelf audits, use of electronic scanners at retail checkout counters, and direct observation in stores.
This includes the possibility that our perceptions are flawed, and you suggest (without data, observations, etc.).
Programs include activities such as using tools, gathering data, and making observations.
The current study sample included 3,075 community - dwelling respondents observed over 4 waves of data, from 2002 to 2008, yielding a total of 12,300 observations.
Medvigy and Jeong found that prediction modeling for the entire United States indeed improves dramatically when the analyses include data from macro-scale observations, meaning from multiple sites spread over a large area.
In February, Kepler will release its first major set of observations; early word is that the data will include tentative identification of several hundred planets that are just slightly larger than our own.
The data came from WISE observations of 164 cometary bodies — including 95 Jupiter family comets and 56 long - period comets.
But CRU has struggled to respond to numerous requests filed under Britain's Freedom of Information Act that seek raw temperature data from weather stations, including observations obtained from other countries under promise of confidentiality.
«If you include lightning data with currently used observations, we're better able to forecast severe weather,» he said.
In addition, satellite observations of the ocean surface and atmospheric data were included.
Luckily, teams of Carnegie scientists including co-authors Steve Shectman, Sharon Wang, Paul Butler, Jeff Crane, and Ian Thompson, have been monitoring GJ 9827 with their Planet Finding Spectrograph (PFS), so they were able to constrain the masses of the three planets with data in hand, rather than having to scramble to get many new observations of GJ 9827.
Data - quality issues, including the reanalysis and reprocessing of past observations, have become a topic in its own right in climate research, says Adrian Simmons, a senior scientist at the European Centre for Medium - Range Weather Forecasts in Reading, UK, and chairman of the GCOS steering committee.
Titanic international projects that are just kicking off, including the National Science Foundation - funded Ocean Observatories Initiative and Southern Ocean Carbon and Climate Observations and Modeling project, promise to pile on reams of new data and knowledge in the coming years — not all of it expected to be postcard pretty.
The data come from more than 150 years of bird - introduction records — including government reports, scientific papers, and observations by local experts — which were collected and analyzed as part of a European program called Delivering Alien Invasive Species Inventories for Europe.
Data comes from various sources, including observations, weather stations at airports, Doppler radar and satellite imagery, National Weather Service bulletins, and even tidal gages.
Observations focussed on the eggs as indicators of the health of the population and inbreeding depression, but included data on the juveniles where possible.
For example, previous global initiatives include satellite - based chlorophyll measurements, the Census of Marine Life, long - term observation sites, and arrays of remote sensors on floats that provide physical, chemical, and biological data [15].
The project may involve the following topics: — Interaction of the solar wind with magnetised and unmagnetised planets — Space weather forecasts — Numerical (HPC) and analytical modelling of MHD wave processes and jets in solar and astrophysical plasma — MHD wave observations and solar magneto - seismology — Application of advanced data analysis to solar system science — Physics of collisionless shocks (including planetary and interplanetary shocks)-- Analysis of multi-point measurements made by space missions, e.g Cluster (ESA), THEMIS (NASA), MMS (NASA)
Our team provides solutions customized to each specific project; these solutions can include direct observation, data integration, ethnographic research, emotionality, data analysis and insights, and much more.
Science Log — We'll be providing regular updates from Red Dots HARPS observations, including new releases of data, the progress of the photometric observations and science articles from the team and experts around the world.
However, the POLENET umbrella also includes data acquired at magnetic observatories for earth applications, gravity and absolute gravity stations, tide - gauge sites, and other types of geodetic observations.
In the majority of cases, the ALMA observations alone could pinpoint the distances, but for a few galaxies the team combined the ALMA data with measurements from other telescopes, including the Atacama Pathfinder Experiment (APEX) and ESO's Very Large Telescope [1].
These include using the same model used to detect the planet instead to fit synthetic, planet - free data (with realistic covariance properties, and time sampling identical to the real data), and checking whether the «planet» is still detected; comparing the strength of the planetary signal with similar Keplerian signals injected into the original observations; performing Bayesian model comparisons between planet and no - planet models; and checking how robust the planetary signal is to datapoints being removed from the observations.
The researchers achieved this extraordinary «roundup» of exoplanets by combining data with follow - up observations by earth - based telescopes including the North Gemini telescope and the W. M. Keck Observatory in Hawaii, the Automated Planet Finder of the University of California Observatories, and the Large Binocular Telescope operated by the University of Arizona.
The researchers achieved this extraordinary discovery of exoplanets by combining NASA's K2 mission data with follow - up observations by Earth - based telescopes including the W. M. Keck Observatory on Maunakea, the twin Gemini telescopes on Maunakea and in Chile, the Automated Planet Finder of the University of California Observatories and the Large Binocular Telescope operated by the University of Arizona.
These data include new aircraft observations from the northern permafrost region (e.g., the NASA Arctic - Boreal Vulnerability Experiment) and measurement of sea - air gas exchange (e.g., the U.S. Geological Survey (USGS) Gas Hydrates Project).
This site presents the work of the Space Telescope Science Institute (STScI) on the WFIRST mission, which presently includes concept and requirements development for the mission's observation scheduling system, wide - field imaging data processing system, and the data archive, development of data simulation tools, and engaging the astronomical community in the mission science.
Potential topics include: (1) Advanced numerical modelling of magnetic flux tubes / loops in the low solar atmosphere (2) Forward modelling of spectroscopic and narrowband EUV observations of the low solar atmosphere, (3) Solar Rotational Tomography of EUV and / or coronagraph coronal observations, (4) Automated detection and prediction of coronal mass ejections, (5) Analysis of solar wind turbulence observations by in situ spacecraft, (6) Eclipse instrumentation, observations and data analysis.
Resources include 10 - 12 lessons covering introduction to research methods, reliability and validity, sampling and questionnaires, experiments, the research process, focus groups and interviews, participant and non-participant observation, secondary data, longitudinal and case studies plus research methods revision bundle.
Bundle of Research Methods revision resources, including questionnaires, secondary data, interviews, observations etc..
The abstract should be structured in accordance with the format: Introduction, which will include the objective or purpose of the research; Methodology, will include basic procedures (design, sample selection or cases, methods and techniques of experimentation or observation and analysis); Results, main findings (give specific datas and their statistical significance, when applicable) and Conclusions.
The data do not include any observations about what a principal actually does, or fails to do, to improve learning.
In late March, several faculty members including Reimers, McCartney, Murnane, Honan, Holland, and Cardenas traveled to Mexico to meet with Mexican officials, collect data, and conduct interviews and classroom observations.
Using these data, we calculated a score for each teacher on the eight TES «standards» by averaging the ratings assigned during the different observations of that teacher in a given year on each element included under the standard.
Common reform policies included the use of objective student data to evaluate teacher performance, more frequent classroom observations, and the rollout of performance - based incentives (or disciplinary action).
Child - level assessment data means the data collected by an agency on an individual child from one or more valid and reliable assessments of a child's status and progress, including but not limited to direct assessment, structured observations, checklists, staff or parent report measures, and portfolio records or work samples.
Our data sources primarily included direct observations of 105 hours of PPLC meetings, supplemented with 46 semi-structured interviews and reviews of more than 150 documents.
The MET project will enroll 3,700 teachers from a number of school districts around the country and will gather a variety of data, including videotaped teacher observations, student surveys, teacher surveys, and supplemental student assessments.
The suite includes our Power Walkthrough software for collecting and sharing classroom observation data; a Survey component for gathering feedback from teachers, parents, and students; a Reflection tool that helps teachers develop SMART goals and track their own growth; and a Coaching component that provides tools for enhancing coaching conversations and helping teachers be the best they can be.
Given Project STAR's limited number of Hispanic, Asian, and Native American participants, I edited these data to include only those observations from black and white non-Hispanic students with black and white non-Hispanic teachers.
Check out this book on iBooks Year 8 Maths Data Representation and Interpretation The following interactive textbook has been designed to teach Year 8 students in accordance with the following ACARA headings: Investigate techniques for collecting data, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPData Representation and Interpretation The following interactive textbook has been designed to teach Year 8 students in accordance with the following ACARA headings: Investigate techniques for collecting data, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata, including census, sampling and observation (ACMSP284) Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata through sampling using a variety of investigative processes (ACMSP206) Explore the variation of means and proportions of random samples drawn from the same population (ACMSP293) Investigate the effect of individual data values, including outliers, on the mean and median (ACMSPdata values, including outliers, on the mean and median (ACMSP207)
Schools used the widest range and types of data to inform these decisions, including results on standardized testing, academic and social history, and teacher observations.
For the project as a whole, we collected two rounds of survey data from principals and teachers and three rounds of site - visit data from schools and districts, including classroom observations and interviews with teachers and building and district administrators.
Research methods included routine and repeated observation of reading instruction, survey and interview data regarding classroom practices, and teacher - submitted time logs detailing reading instruction.
Any district that chooses to use one of the other three piloted observation tools must pay for any expenses above the base cost supplied by the state, including the costs of technical support, training, and data management.
Learning Sciences International supports states and districts with exclusive implementation and redevelopment services on Dr. Marzano's Causal Evaluation Model including training evaluators with high degrees of observer accuracy and inter-rater reliability and offering the iObservation companion data system for data collection, classroom observation, professional development, feedback to teachers, and final evaluation.
iObservation collects evidences from multiple data sources including formal observations, classroom walkthroughs, peer assessments, and self assessments.
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.
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