Sentences with phrase «academic data such»
The kind of data schools are likely to collect, and therefore need to be wary of, include personal data on members of the school community, including names, addresses, contact details, legal guardianship contact details, disciplinary records; academic data such as class lists, progress reports; professional records of employment history, taxation, national insurance records and appraisal records.
http://www.educationbusinessuk.net/ Not exact matches
One major feature that would distinguish the business practices of Amazon's «streaming data marketplace» from those of actors such as Facebook: The social media giant, while admitting that it has allowed direct access to user data for academic purposes, claims to prohibit the sale of these data «to any ad network, data broker or other advertising or monetization - related service.»
The Bank has required the securitisation data to be made available to permitted data users (such as those who intend to use the data for investment, professional or academic research).
In 2005, SHRP began building a coalition between human rights groups, scientific societies, and academic associations working on domestic human rights issues in the United States in order to foster better communication among groups producing scientific data and those looking to use such data.
Some academics, such as Bradley, are thankful for the new source of data and have responded by working more closely with commercial units.
Such notions about the pharmaceutical industry are not uncommon among academics, and recent news coverage of selective clinical trial data reporting and questionable publication practices haven't helped the industry's image.
To date, there is no publicly recorded incident of hackers getting into the anonymized individual patient dossiers held by data miners, nor reported instances of re-identification of anonymized medical records in the United States other than academic experiments Even if thieves did hack such anonymized records, they would face the additional complication of re-identifying the records.
In the 2007 - 2008 academic year, for instance, awards supported research on topics such as the imaging of brain regions involved in the learning of words, the relation between memory and the growth of brain cells in adulthood, the neural activity behind birdsongs and the processing of sensory data in the brains of infants at risk for autism.
SEI 2106 shows oodles of data that almost everyone will conclude is very solid evidence denying my prediction (i.e., since academic science in the US is doing such a productive job and provides so much of value to the public, then all must be excellent!).
Although some research finds that such benefits exist, the available data have not permitted researchers to confirm the causal effects of desegregation on nonacademic benefits for the same reasons that it is difficult to produce convincing findings on academic benefits: the nonrandom sorting of students among school environments and the real possibility that forced busing may produce effects very different from those of living in a racially or socioeconomically mixed community.
For the most part, he says, the past decade of research on the accountability movement in education has focused on two things: whether or not the tests increased academic achievement, and how high - stakes testing has led to certain behaviors such as teaching to the test or manipulating the data.
Given such a profound role of LA in each individual's academic performance, the question arises on the effective input of data into the LA tools for the sake of precise, comprehensive analysis, and prediction of individuals» learning.
«I can categorize the questions according to important cognitive skills such as contextualization, synthesis, and analysis and receive aggregated data for each academic skill.
In my book, The Collapse of Parenting, I share data from many sources — including the National Institutes of Health, international databases such as the PISA program, scholarly papers by researchers such as Professor Jean Twenge, and many other sources — showing that American kids are indeed more likely to be obese, less likely to be physically fit, more likely to be anxious and depressed, compared with American kids 30 years ago — and in the case of academic achievement, doing much less well compared with kids in other countries, again a big change compared with American kids 30 years ago.
When the schools reach capacity, they pay management fees to fund central administrative costs, such as academic coaches, student data systems, and payroll.
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.
promote the continuous use of student data (such as from formative, interim, and summative assessments) that shall inform and differentiate instruction in order to meet the academic needs of individual students;
Several recent evaluations of voucher programs that use such publicly available assessment data — including one sponsored by Fordham — have yielded mixed or negative results in terms of the academic efficacy of participation in such programs.
Educators have a wealth of academic data, but too often lack data on the important, yet, less - tangible aspects of the school experience such as engagement, rigor, and school culture.
A variety of data were used to inform these practices, with academic performance data, such as benchmark assessments and teacher created formative assessments, were used most frequently.
The authors provide critical documents, such as an academic mission, core commitments, instructional calendars, common assessments, data charts, error analysis forms, and meeting agendas.
In addition, participating communities receive other non-monetary support, such as inclusion in a professional learning community, regular convenings with other cities in the initiative, supports to integrate and apply SEL data to continuous improvement systems, communications counsel, and other technical assistance provided by national experts such as the Collaborative for Academic, Social and Emotional Learning (CASEL), the Forum for Youth Investment, the David P. Weikart Center for Youth Program Quality, Crosby Marketing Communications and others.
He credits a number of states, such as Connecticut, Pennsylvania, Minnesota, and Georgia, for using school climate data to engage their school communities «in systemic, relational, or instructional strategies» that support students» academic and social and emotional needs.
Countries with low levels of selection, such as England and Canada, have similar levels of pupils who attain strong academic results despite their socio - economic disadvantage, as countries with highly selective systems such as Germany, according to the data.
Inaccurate data impact the statistics generated from ethnic and racial classifications, such as graduation and dropout rates, attendance rates and percentages of students meeting academic standards.
Indeed, in a 2011 report, the Government Accountability Office noted, «There are no national public data on military dependent students» academic progress, attendance, or long - term outcomes, such as college attendance or workplace readiness.»
Organized by the Community Coalition, the groups presented a comprehensive, data - driven «Student Need Index» that uses environmental, social and academic factors known to impact student achievement — such as poverty and violence — to produce a district - wide ranking of schools based on need.
It could also include ways to factor in teachers in non-tested, academic subjects, such as using AP scores in place of whole school value - added data.
● Oversee the implementation of the educational vision across all campuses, and ensure schools are producing amazing outcomes for students ● Ensure all schools meet their academic and cultural goals ● Build a strong, collaborative team of principals ● Ensure schools are operationally strong, aesthetically beautiful and clean, within budget, and well - organized ● Oversee performance management systems and the hiring process across the schools ● Manage the college teams in supporting students as they prepare for college ● Provide individual development and management to school principals through one - on - one meetings, coaching, modeling, planning, and feedback ● Lead regular professional learning for school leaders (topics such as instructional leadership, personnel management, school operations, data analysis, school culture, and family investment) ● Study and analyze data on an ongoing basis ● Work with school principals to develop and implement action plans based on academic results
I reorganized the data in such a way that you can now view Academic Olympic Events on my web site.
This report analyzes town - by - town data to map outcomes related to opportunity such as teen birth rates and academic achievement.
They advised the district to gather data around the number and academic profiles of students taking and not taking high - level math classes in high school and to hold focus groups to explore why students do and don't take such classes.
As Montalvin teachers use inquiry to systematically deepen their understanding of core instructional routines such as math problem solving or academic discussion, their principal has collected data to better understand how to support K / 1 student independence and problem solving in the lunchroom — a pervasive dilemma for elementary school leaders.
Utilizing sophisticated technology to analyze student feedback against a large library of aggregate data, YouthTruth also consults and informs school leaders to make meaningful decisions on other important issues such as social - emotional learning, school safety and bullying, and academic rigor.
Also, while states are required to measure academic proficiency indicators — which are static, point - in - time indicators within their school classification systems — there may be an opportunity to measure specific aspects of proficiency data, such as growth or scale scores, which are further described below.24 That is, ESSA may provide states an opportunity to use differentiation within an indicator, as well as differentiation between schools.
Unfortunately, state data shows that academic performance in Muskegon Heights is declining in areas such as scores on the ACT and the graduation rate.
However, the tests must be aligned with the state academic content standards, address the depth and breadth of such standards, and be equivalent in content coverage, difficulty, and quality to the state - designed assessments AND must provide comparable, valid, and reliable data on academic achievement, as compared to the state - designed assessments, for all students and for each subgroup of students among all local school districts within the state.
The NRCCTE produces and publishes videos that highlight and explore issues of urgency to both the field of CTE and the nation's higher education system, recovering economy, and evolving labor market, addressing such topics as programs of study / career pathways, curriculum integration of CTE and academic content knowledge and skills, postsecondary student retention and completion, and professional development for educators in the areas of data use for program improvement and support for alternatively certified CTE educators.
Under the Every Student Succeeds Act (ESSA), one of the allowable uses of funds includes capacity - building in districts to assist teachers, principals, or other school leaders with selecting and implementing formative assessments, designing classroom - based assessments, and using data from such assessments to improve instruction and student academic achievement.
In a 2011 report, the Government Accountability Office noted, «There are no national public data on military dependent students» academic progress, attendance, or long - term outcomes, such as college attendance or workplace readiness.»
Insufficient reference sources: There are several other resources from where you can gather relevant data to be included in your academic documents such as video lectures, scholarly articles, research papers, etc..
Some academics warn about the risk of such a portfolio: their data show that it is unwise to restrict your investments to a small number of stocks that start with only one letter, while ignoring the other 96 % of the alphabet.
The best way to do this is to «show our work» when it comes to scientific research and statistical data, making sure that we promote the most recent findings from academic sources such as those supported by HABRI and others.
Academic Rights Press: A repository of historical and current music sales data with insight on how such numbers can be applied.
The third shocking revelation of these documents is the ruthless way in which these academics have been determined to silence any expert questioning of the findings they have arrived at by such dubious methods — not just by refusing to disclose their basic data but by discrediting and freezing out any scientific journal which dares to publish their critics» work.
Research such as this may be essentially academic — it is based on available data assembled in university and research laboratory libraries over centuries — but it has practical value.
In regards your request for any stipulations accompanying the transmission of the data to academics at Georgia Tech, no such instructions or stipulations are held by the University.
The insights gleaned from the EnergySage Solar Marketplace are so exclusive that leading research and academic institutions such as National Renewable Energy Laboratory (NREL), Lawrence Berkeley National Laboratory (LBNL), Solar Electric Power Association (SEPA) and the University of Texas have all leveraged EnergySage data for their own research and analysis.
Participants in the Law.gov project — which include both for - profit organizations such as Justia and Fastcase and academic institutions such as Princeton, Cornell and Stanford — will assist by performing initial post-processing of the raw HTML data.
Our team of analysts review more than 1,000 sources daily, including a full range of public domain data, such as government databases and publications, corporate statements and websites, marketing and press releases, academic publications, conference publications, industry associations and interest groups, and specialist as well as general media.