Sentences with phrase «teacher demographic data»

Not exact matches

The United Federation of Teachers, in a proposed amendment to a City Council resolution, today called for charter schools seeking free space in New York City public school buildings to be required to make public financial data and political donations, along with student demographics, suspension rates, and teacher and student attrition.

We begin by using the Schools and Staffing Survey (SASS) data (see sidebar for a description of the datasets on which we rely) to provide an overview of demographic changes to the teacher workforce since the late 1980s.

Over the last eight years, the district has spent $ 32 million on the hardware systems necessary to track student demographic and performance data districtwide, and another $ 2 million on additional computers that allow teachers to access the system; much of this funding has come from the federal E-Rate program, which has allocated more than $ 10 billion toward Internet infrastructure in K — 12 schools and libraries since 1996 (see «World Wide Wonder?»

Data about student learning, demographics, school processes, and teacher perceptions are used to inform decision making, and extensive professional development is used to set goals, prioritize, and make appropriate intervention plans (Slavin, Cheung, Holmes, Madden, & Chamberlain, 2012).

Teacher personnel data include teacher - level data about tenure status, years of experience in the district, demographic information, level of education attained, and certification Teacher personnel data include teacher - level data about tenure status, years of experience in the district, demographic information, level of education attained, and certification teacher - level data about tenure status, years of experience in the district, demographic information, level of education attained, and certification status.

Data related to school and student demographics (for example, attendance, graduation rate, race / ethnicity, class, gender, level of teaching experience, level of teachers» education)

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.

We analyze a unique set of student and teacher demographic and discipline data from North Carolina elementary schools to examine whether being matched to a same - race teacher affects the rate at which students receive detentions, are suspended, or are expelled.

In addition to test - score data, the system will include, among other things, demographic data, teacher assignment by course, and each student's course enrollment and completion.

In this study, we analyze a unique set of student and teacher demographic and discipline data from North Carolina elementary schools to examine whether being matched to a same - race teacher affects the rate at which students receive detentions, are suspended, or are expelled.

We matched each teacher to the students they were teaching and assembled data on students» demographic characteristics, performance on prior state tests, and the averages of such characteristics for the peers in their classroom.

The information is combined to produce a statewide annual report which includes student demographics, program service options, and gifted education teacher or program administrator data.

We use student assessment and demographic data to predict how students would do on standardized tests under the guidance of «average» teachers.

Dr. Imran Zualkernan spoke about his work with Early Grade Reading Assessment (EGRA) in schools throughout Pakistan; in real - time the program utilized student ERGA and demographic data to provide targeted just - in - time coaching training to teachers to meet the learning needs of their students.

«Data can help teachers narrow down the techniques that work for their student demographics and help them reflect on what they are doing.

The study looks at class sizes, student - to - teacher, student - to - administrator and teacher - to - administrator ratios in suburban, rural and city school districts, teacher pay and the demographics of teachers between 2009 and 2014, using data from the Department of Public Instruction and school district data from the U.S. Department of Education.

Other activities in which teacher candidates engaged have engaged in my courses are attending webinars hosted by the National Council of Geography Education on integrating online maps into pedagogical practice, using Google Earth ™ to create flyovers and virtual fieldtrips, retrieving and analyzing remotely sensed imagery of our town and university to visualize how these places had changed and developed over the years, using various functions in Google Maps ™, and reviewing school demographic and testing data in preparation for instructional planning.

Teachers today are surrounded with data; formative, summative, demographic, behavioral, non-cognitive... the list goes on and on.

The complex formula of standardized tests scores and demographic data measures pupil progress and can help gauge a teacher's effectiveness in the classroom.

Edits Records Processing on the DOE Student Database Department of Juvenile Justice Student Entry Assessment Department of Juvenile Justice Student Exit Assessment Dropout Prevention Program Data English Language Learners Information Exceptional Student Exceptional Student Program Federal / State Indicator Status Federal / State Compensatory Project Evaluation McKay Prepayment Verification Prior School Status / Student Attendance School Environmental Safety Incident Report Student Assessment Student Course Schedule Student Course Transcript Information Student Demographic Back to Top Student Discipline / Referral Action Student End of Year Status Student Transportation Teacher Course Title I Supplemental Educational Services Vocational Student Course Schedule Vocational Teacher Course

Note: 2015 - 16 is the most recent data on teacher demographics from the CT State Department of Education.

Back to Top Reporting Formats Department of Juvenile Justice Student Entry Assessment Department of Juvenile Justice Student Exit Assessment Dropout Prevention Program Data English Language Learners Information Exceptional Student Exceptional Student Program Federal / State Indicator Status Federal / State Compensatory Project Evaluation McKay Prepayment Verification Prior School Status / Student Attendance Responsible Instructor - Reading, Writing, and Mathematics School Environmental Safety Incident Report Student Assessment Student Course Schedule Student Course Transcript Information Student Demographic Information Student Discipline / Referral Action Student End of Year Status Student Transportation Teacher Course Title I Supplemental Educational Services Vocational Student Course Schedule Vocational Teacher Course Back to Top

The committees evaluated program evaluations, survey results, and the following data: STAAR data, MAP scores, DMAC reports, Special Program participation, technology assessment, staff stability / mobility rates, school demographic data collected from PEIMS, student / teacher surveys, and PTSO participation / activities.

With the ultimate goal to inform the statewide conversation about education, EdNC has included a variety of data — from public school demographics to teacher turnover rates to student enrollment by school type.

They could take a big - data approach, combining information from a number of different sources — graduation rates, discipline outcomes, demographic information, teacher - created assessments and, eventually, workforce outcomes.

To examine the impact of Act 10 on Wisconsin's teacher workforce, the authors use 10 years of data from the DPI's all - staff files, spanning from the 2005 - 06 school year to the 2015 - 16 school year.37 This administrative data set includes information on staff demographics, compensation — including both salaries and benefits — and experience.

A three - year district profile that includes student test scores, teacher evaluation data, dropout rates, minority college attendance rates, demographics in Advanced Placement / IB classes, and other key indicators of district performance.

Commmunity Needs Assessments Community Needs Assessment: Overview Community Needs Assessment: All 4th - 8th Grade Student Needs Assessment High School Student Needs Assessment Student Wish List Survey Teacher Assessment Parent Interest Survey Community Focus Group Design School & Community Demographic Data School & Community Conditions Analysis Community Asset Mapping Community Asset Mapping: Overview Community Resource Assessment Overview and Community Resource Assessment Advisory Board Development Planning Community School Advisory Boards: How Resource Coordinators Can Engage Community Members in Shared Ownership of the Community School Step 1: Identifying Potential Members Step 2: Prioritizing Potential Members Step 3: Identifying Strengths of Potential Members Step 4: Inviting Advisory Board Members Creating an Engaging Environment Sample Advisory Board Meeting Agenda Out - of - School Time Planning Afterschool Lesson Plan Database Afterschool Training Toolkit: Building Quality Enrichment Activities Consumer Guide to Afterschool Science Resources Newsletter Templates General Community Schools Newsletter Template General Community Schools Newsletter Template - Spanish Addressing Complex Challenges Common Core Transition Community schools and resource coordinators, in particular, have an important role to play in supporting student learning that is engaging, collaborative, fosters critical thinking AND is aligned to the Common Core Learning Standards.

Still, items exposed included student names, state identification numbers, grade levels, teacher names and test results, and one student record viewed contained demographic data.

Initial data collected included image type (photograph, cartoon / clip art, text / graphic) and demographic information of the depicted science teachers.

These reports include student enrollment demographics, teacher's credentials, students CAASPP test scores, school climate data, class sizes, student fitness standards, and employee salaries.

The Australian Early Development Index is an adaption of the Canadian Early Development Instrument.6, 7 It has been the subject of numerous reliability and validity studies.8 — 13 Studies have also shown teacher ratings on the questionnaire to be more reliable and consistent than parent ratings, 11,14 and that these ratings predict later educational outcomes.8, 15 In addition to the developmental data, the AEDI census also provides information on any special needs the child might have, the child's care and educational arrangements prior to enrolling at school as well as demographic data, attendance and geographical information about where the child lives.