Sentences with phrase «student educational data»

PCSD will provide a range of training opportunities for all PCSD staff, including volunteers, contractors and temporary employees with access to student educational data in order to minimize the risk of human error and misuse of information.

Not exact matches

The EFF claims that Google has been «collecting, maintaining, using, and sharing» data from students who use its Chromebooks in schools, and its educational apps.

In addition to compiling head - to - head rankings, OECD collects data on educational policies and practices around the world, with topics ranging from how countries educate their poorest students to parental attitudes toward the importance of an education.

Its study draws upon data from two states, Florida and North Carolina, that allow researchers to track the progress of students through the system and beyond and possibly correlate it with the contributions from individual teachers and specific educational practices.

Professor Philip Lubin at UC Santa Barbara and some of his students are working on a public engagement and educational outreach program by placing the essence of humanity, in the form of documents, poetry, pictures, movies, music, tweets, digital DNA and other data, into every spacecraft and eventually to the stars.

«NAPLAN data and the My School website enables schools to compare the results of students at their school against national results for the overall population and for schools with students from the same socio - educational backgrounds.

o To keep costs low, the system must rely primarily on existing data (such as student achievement, grade retention, attendance, graduation, college going and student log files from educational software providers).

In this paper, Hitt, Trivvit, and Cheng demonstrate across several longitudinal data sets that students who are more non-responsive to survey questions (skipping items or saying «don't know») have significantly lower educational attainment and fare less well in the labor market, even after controlling for a broad set of background characteristics and cognitive measures.

Gershenson and Papageorge examined data on educational attainment as well as survey results containing multiple teachers» predictions as to how far in school students were expected to go, such as to finish high school, start college, or earn a degree.

My areas of expertise include: a) literacy and bi-literacy instruction for English Language Learners students of Spanish speaking background, b) use of assistive technology to address the educational needs of students with disabilities, c) research design and analysis of qualitative and quantitative data.

Based in Half Moon Bay, Calif., ISKME is an independent think tank that conducts research and provides resources to school districts and educational organizations interested in using data and information to improve student achievement.

This new ed - tech tool represents an arrangement of data derived from students» educational progress reports and dashboards.

Stepanek: The current emphasis on using data and evidence to inform educational practice and concentrating on results for students is very congenial to lesson study.

We also adjusted the data to account for changes in state spending on education and for parents» educational levels, which provides controls for simultaneous changes in state policies or differences in demographics that might confound the analysis of how accountability systems influenced student achievement.

Consistent with NCES» mission, IPEDS data collection will continue to acquire new higher education data that can affect how college students decide on their educational and career pathways.

College students benefit greatly from IPEDS data as they work through their educational plans.

However, this is without adjusting the data for background characteristics that may affect students» level of civic knowledge, such as their parents» educational level.

Higher education policies result to increased effectiveness of educational programs The Integrated Postsecondary Education Data Systems (IPEDS) provides a one - stop higher education informational website for all prospective students and parents.

According to the Higher Education Act (HEA) of 1965, all institutions receiving Title IV funds must submit specific data about their educational programs, student population, enrollment, attrition, and completion rates, staff and faculty, financial information, tuition and fees, and allocation of all student financial aid (NCES, n.d.) IPEDS HistoryIn 1995, NCES established the National Postsecondary Education Cooperative (NPEC) as a «voluntary organization that encompasses all sectors of the postsecondary education community including federal agencies, postsecondary institutions, associations, and other organizations interested in postsecondary education data collection» (NPEC, n.d., p. 4).

Our lab actively advocates for honest, data - driven conversations about the failings of the current education delivery system, the impact of poverty on student learning, and the necessity for designing and building new systems that guarantee that our twin educational goals of equity and excellence are achieved for each and every child.

In addition, the Career Services Office invites educational recruiters to campus, provides data on alumni career paths and salaries, coordinates the annual Career Day Programs, and coordinates student and alumni networks.

The more than 30 pages of proposed rules for the Family Educational Rights and Privacy Act, or FERPA, include protections for educators who seek to share information to protect a student's health or safety, new guidelines for school districts on sharing student data with educational researchers, and a proposed requirement that schools safeguard electronic and other records, including from some school staff members.

Research (by Irenee Beattie, Josipa Roksa, and Richard Arum) that examined appellate court cases from 2000 to 2002 found that, on average, those cases emerged from secondary schools with 29 percent nonwhite students compared to 37 percent nonwhite students in the national population of secondary schools (the latter weighted for enrollment size to be comparable to the court case data); appellate cases also emanated from schools with more educational resources per student (student / teacher ratios of 16.3 compared to 17.5 nationally).

This study uses data from 39 countries to analyze how various institutions affect educational performance at the student level.

Educational researchers are working with game manufacturers to create a new brand of «serious games» that have the potential to capture and stream the kind of important assessment data that educators can use comprehensively, from tracking individual student achievement to determining national educational trends.

Yet, much of that work depends on a simple, often unstated, assumption: that the short list of control variables captured in educational data systems — prior achievement, student demographics, English language learner status, eligibility for federally subsidized meals or programs for gifted and special education students — include the relevant factors by which students are sorted to teachers and schools.

A good educational game offers engagement, assessment, and learning, with the game data providing a valuable invisible assessment opportunity for students, teachers, and parents.

Over the past 20 years, the accountability movement's reliance on data to quantify student learning has transformed pedagogical practice and opened up educational practice to show the public how well students are achieving — or not achieving — in their public schools.

This approach of using data from different sources allows for a focus on closing achievement gaps without narrowing the number of students who qualify for supplemental educational services or public school choice priority.

This report reviews evidence on K - 12 classroom technology use and is organized according to media platforms: interactive whiteboards, classroom response systems (clickers), video games, simulations, modeling, augmented reality, virtual worlds, mobile devices, data analysis tools, calculators, 1:1 ratio of computers to students, computer - assisted instruction (where a computer presents instruction or remediation), virtual learning, and educational television.

Our collection of educational videos will help your students visualize data and understand scientific concepts.

The commissioner may also place under high school equivalency program review any program for which a district or board of cooperative educational services fails to provide in a timely manner the student's performance data required by the commissioner to conduct the annual assessment of the high school equivalency program.

We believe in rethinking elementary school from the ground up, but we also believe that we have a responsibility to look at the data, and to take a holistic look at students and their overall educational experience.

In Improving Rural Hispanic Students» Transition to College and Career, researcher Ed Kissam uses data from the 2002 - 12 Educational Longitudinal Survey to examine specific factors associated with educational disadvantage among rural Hispanic sStudents» Transition to College and Career, researcher Ed Kissam uses data from the 2002 - 12 Educational Longitudinal Survey to examine specific factors associated with educational disadvantage among rural Hispanic studentsstudents.

Using data generated by student interaction with educational software programs, teachers gain insight into each student's precise strengths and weaknesses.

The data currently being gathered by CORE provide a unique opportunity for researchers to study this question and others related to the role of schools in developing student skills and the design of educational accountability systems.

These findings confirm those from a variety of previous studies, which have shown that adjusting the data for students» socioeconomic status is usually enough to eliminate most or all of the difference between blacks and whites in educational attainment.

In this sense, RAND simply repeats an already well - known finding: that if you rely on imprecise statewide data and if you ignore all other aspects of state educational policy, you will often find that average statewide school spending and class size have at least a minor effect on student performance.

Students will be guided in the study, design, implementation and critical analysis of data collected in an educational setting.

States, districts, and schools can use EWS data to examine school - level patterns to address systemic issues that may be impeding a student's ability to meet key educational milestones.

Using test score data from the National Assessment of Educational Progress, we also find that reforms cause gradual increases in the relative achievement of students in low - income school districts, consistent with the goal of improving educational opportunity for these students.

In the past, students» school records could not be shared outside of school agencies without parents» permission, but the federal government recently rewrote the regulations protecting student privacy to allow student data to be shared with for - profit companies involved in «educational programing.»

Despite this progress, however, data show that there is still work to be done to ensure that students with the highest risk of dropping out have access to high - quality alternative educational opportunities that adequately prepare them for college, careers, and life.

Marshall, though, is hopeful that reform groups in Dallas and forward - looking educators will succeed in using data and the principles of school accountability to improve the educational outcomes of students.

To secure the dramatic improvements we need, we must have accurate, objective data on student achievement and a commitment to identify and share effective educational practices.

We are concerned that educational publishers, software marketers, and others are pushing EdTech to further monetize schooling and gather and use private student data for their own benefit.

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.

The reporting requirements of ESSA to publish specific educational data sets separated by student subgroups and categories are driving many school districts to evaluate how they collect, analyze and present data.

With even more data on our side confirming that charter schools are working for New York's students, and particularly those most in need of high - quality educational options, it's high time for state legislators and officials to recognize this success, too.

The Center for Student Achievement's inaugural report found that charter schools are meeting a need for educational settings not widely available in district schools, and that the data contradict the common misconception that charter schools attract, or «skim» only higher performing students away from district schools.