86 datasets found
  1. Teachers' Use of Educational Technology in U.S. Public Schools, 2009

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Aug 13, 2023
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    National Center for Education Statistics (NCES) (2023). Teachers' Use of Educational Technology in U.S. Public Schools, 2009 [Dataset]. https://catalog.data.gov/dataset/teachers-use-of-educational-technology-in-u-s-public-schools-2009-b803a
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    Dataset updated
    Aug 13, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    Teachers' Use of Educational Technology in U.S. Public Schools, 2009 (FRSS 95), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 95 (https://nces.ed.gov/surveys/frss/) is a sample survey that provides national estimates on the availability and use of educational technology among teachers in public elementary and secondary schools during 2009. This is one of a set of three surveys (at the district, school, and teacher levels) that collected data on a range of educational technology resources. The study was conducted using surveys via the web or by mail. Telephone follow-up for survey non-response and data clarification was also used. Questionnaires and cover letters for the teacher survey were mailed to sampled teachers at their schools. Public schools and teachers within those schools were sampled. The weighted response rate for schools providing lists of teachers for sampling was 81 percent, and the weighted response rate for sampled teachers completing questionnaires was 79 percent. Key statistics produced from FRSS 95 were information on the use of computers and internet access in the classroom; availability and use of computing devices, software, and school or district networks (including remote access) by teachers; students' use of educational technology; teachers' preparation to use educational technology for instruction; and technology-related professional development activities.

  2. d

    2021 Public Data File -Student

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Nov 29, 2024
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    data.cityofnewyork.us (2024). 2021 Public Data File -Student [Dataset]. https://catalog.data.gov/dataset/2021-public-data-file-student-becae
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality. Each year, all parents, teachers, and students in grades 6-12 take the NYC School Survey. The survey is aligned to the DOE's Framework for Great Schools. It is designed to collect important information about each school's ability to support student success. Please note: The larger complete data file is downloadable under the Attachments Section

  3. D

    Teacher Follow-up Survey: Tables Library Data

    • datalumos.org
    delimited
    Updated Jun 27, 2025
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    United States Department of Education (2025). Teacher Follow-up Survey: Tables Library Data [Dataset]. http://doi.org/10.3886/E234602V1
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    delimitedAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    United States Department of Education
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1994 - 2022
    Area covered
    United States
    Description

    About TFSThis is a study of public and private school teachers in elementary and secondary schools and is part of the NTPS study, which collects information from U.S. elementary and secondary schools and their staff. Use this study to learn about teacher retention and attrition rates, characteristics of teachers who stayed in the teaching profession and those who changed professions or retired, activity and occupational information for those who left the position of a K-12 teacher, reasons for moving to a new school or leaving the K-12 teaching profession, and job satisfaction.Data OrganizationEach table has an associated excel and excel SE file, which are grouped together in a folder in the dataset (one folder per table). The folders are named based on the excel file names, as they were when downloaded from the National Center for Education Statistics (NCES) website.In the TFS folder, there is a catalog csv that provides a crosswalk between the folder names and the table titles.The documentation folder contains (1) codebooks for TFS generated in NCES datalabs, (2) questionnaires for TFS downloaded from the study website and (3) reports related to TFS found in the NCES resource library.

  4. Common Core of Data: Public School Universe Data, 1996-1997 - Version 1

    • search.gesis.org
    Updated Feb 17, 2021
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    United States Department of Education. National Center for Education Statistics (2021). Common Core of Data: Public School Universe Data, 1996-1997 - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR02823.v1
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    Dataset updated
    Feb 17, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    GESIS search
    Authors
    United States Department of Education. National Center for Education Statistics
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de435447https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de435447

    Description

    Abstract (en): This dataset contains records for each public elementary and secondary school in the 50 states, the District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside the United States for 1996-1997. Records in this file provide the National Center for Education Statistics and state identification numbers, name and ID number of the agency operating the school, name, address, and phone number of the school, school type (regular, special education, vocational education, alternative), locale code (seven categories from urban to rural), number of students by grade and ungraded, number of students eligible for free lunch, and number of students by five race/ethnic categories. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All public elementary and secondary schools in the 50 states, the District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside the United States during 1996-1997. (1) The data contain high ASCII, accented Spanish characters. (2) Users are encouraged to check the NCES homepage (http://www.ed.gov/NCES/ccd/) for additional information on this collection. (3) The codebook and instruction manual are provided as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

  5. d

    2017 Public Data File Teacher

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 29, 2024
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    data.cityofnewyork.us (2024). 2017 Public Data File Teacher [Dataset]. https://catalog.data.gov/dataset/2017-public-data-file-teacher
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    2017 NYC School Survey teacher data for all schools; To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality. Each year, all parents, teachers, and students in grades 6-12 take the NYC School Survey. The survey is aligned to the DOE's Framework for Great Schools. It is designed to collect important information about each school's ability to support student success.

  6. d

    2014 - 2015 Teacher Survey Data

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 29, 2024
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    data.cityofnewyork.us (2024). 2014 - 2015 Teacher Survey Data [Dataset]. https://catalog.data.gov/dataset/2014-2015-teacher-survey-data
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    2015 NYC School Survey teacher data for all schools To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality. Each year, all parents, teachers, and students in grades 6-12 take the NYC School Survey. The survey is aligned to the DOE's Framework for Great Schools. It is designed to collect important information about each school's ability to support student success.

  7. U

    United States Trained Teachers in Secondary Education: Female: % of Female...

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Trained Teachers in Secondary Education: Female: % of Female Teachers [Dataset]. https://www.ceicdata.com/en/united-states/social-education-statistics/trained-teachers-in-secondary-education-female--of-female-teachers
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2014 - Dec 1, 2021
    Area covered
    United States
    Variables measured
    Education Statistics
    Description

    United States Trained Teachers in Secondary Education: Female: % of Female Teachers data was reported at 100.000 % in 2022. This stayed constant from the previous number of 100.000 % for 2021. United States Trained Teachers in Secondary Education: Female: % of Female Teachers data is updated yearly, averaging 100.000 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 100.000 % in 2022 and a record low of 100.000 % in 2022. United States Trained Teachers in Secondary Education: Female: % of Female Teachers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Social: Education Statistics. Trained teachers in secondary education are the percentage of secondary school teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching in a given country.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Weighted average;

  8. d

    Teacher Shortage Areas 2021-22

    • catalog.data.gov
    • datasets.ai
    Updated Apr 2, 2024
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    Office of Postsecondary Education (OPE) (2024). Teacher Shortage Areas 2021-22 [Dataset]. https://catalog.data.gov/dataset/teacher-shortage-areas-2021-22-b184f
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    Dataset updated
    Apr 2, 2024
    Dataset provided by
    Office of Postsecondary Education (OPE)
    Description

    Teacher Shortage Areas 2021-22 (TSA 2021-22) is part of the Teacher Shortage Areas (TSA) program; program data are available since 1990?91 at . TSA 2021-22 (https://www2.ed.gov/about/offices/list/ope/pol/tsa.html) is a cross-sectional study that collects information about teaching needs in the 50 United States and the outlying jurisdictions. TSA 2021-22 provides a reference document to notify the nation where states and schools are looking to potentially hire academic administrators, licensed teachers, and other educators and school faculty in specific disciplines/subject areas, grade levels, and/or geographic regions; and where recent graduates of schools of education and trained, experienced teaching professionals aiming to serve school districts with shortages can find (prospective) positions and fill the current voids in each state?s and outlying jurisdiction?s pre-kindergarten through Grade 12 classrooms, in areas that match their certification credentials; as well as to inform Federal financial aid recipients on reducing, deferring, or cancelling/nullifying/discharging student loan payments and meeting other specified (e.g., teaching) obligations.

  9. School District Characteristics - Current

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). School District Characteristics - Current [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/school-district-characteristics-current-f96a2
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The National Center for Education Statistics’ (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated school district boundary composite files that include public elementary, secondary, and unified school district boundaries clipped to the U.S. shoreline. School districts are special-purpose governments and administrative units designed by state and local officials to provide public education for local residents. District boundaries are collected for NCES by the U.S. Census Bureau to develop demographic estimates and to support educational research and program administration. The NCES Common Core of Data (CCD) program is an annual collection of basic administrative characteristics for all public schools, school districts, and state education agencies in the United States. These characteristics are reported by state education officials and include directory information, number of students, number of teachers, grade span, and other conditions. The administrative attributes in this layer were developed from the most current CCD collection available. For more information about NCES school district boundaries, see: https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries. For more information about CCD school district attributes, see: https://nces.ed.gov/ccd/files.asp.Notes:-1 or MIndicates that the data are missing.-2 or NIndicates that the data are not applicable.-9Indicates that the data do not meet NCES data quality standards.Collections are available for the following years:2022-232021-222020-212019-202018-192017-18All information contained in this file is in the public _domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  10. NCES Digest of Education Statistics: Data Tables

    • datalumos.org
    Updated Jul 17, 2025
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    United States Department of Education. Institute of Education Sciences. National Center for Education Statistics (2025). NCES Digest of Education Statistics: Data Tables [Dataset]. http://doi.org/10.3886/E236421V1
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    Dataset updated
    Jul 17, 2025
    Dataset provided by
    Institute of Education Scienceshttp://ies.ed.gov/
    National Center for Education Statisticshttps://nces.ed.gov/
    United States Department of Educationhttps://ed.gov/
    Authors
    United States Department of Education. Institute of Education Sciences. National Center for Education Statistics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1869 - 2024
    Area covered
    United States, Global
    Description

    About the Digest of Education StatisticsThe 2022 edition of the Digest of Education Statistics is the 58th in a series of publications initiated in 1962. The Digest has been issued annually except for combined editions for the years 1977–78, 1983–84, and 1985–86. Its primary purpose is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. The Digest includes a selection of data from many sources, both government and private, and draws especially on the results of surveys and activities carried out by the National Center for Education Statistics (NCES). To qualify for inclusion in the Digest, material must be nationwide in scope and of current interest and value. The publication contains information on a variety of subjects in the field of education statistics, including the number of schools and colleges, teachers, enrollments, and graduates, in addition to data on educational attainment, finances, federal funds for education, libraries, and international comparisons. Supplemental information on population trends, attitudes on education, education characteristics of the labor force, government finances, and economic trends provides background for evaluating education data. The Digest contains important information on federal education funding, though more detailed information on federal activities is available from federal education program offices.The Digest contains tables organized into seven chapters: All Levels of Education, Elementary and Secondary Education, Postsecondary Education, Federal Funds for Education and Related Activities, Outcomes of Education, International Comparisons of Education, and Libraries and Use of Technology. Each chapter is divided into a number of topical subsections.About this DatasetThis dataset represents the tables from the Most Current Digest Tables page: https://nces.ed.gov/programs/digest/current_tables.asp, as downloaded 2025-07-13.The folder system has three levels. Level 1 is the chapters of the data digest. Level 2 is the subsections of the chapters. Level 3 is a folder each for each table. Each table folder contains an excel file for the table.The top level folder contains a catalog csv with a cross walk between the folder name and the original table titles.There is also a folder for Machine Readable tables downloaded from this page in the top level folder: https://nces.ed.gov/programs/digest/mrt_tables.asp.

  11. d

    2017 Public Data File Parents

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Nov 29, 2024
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    data.cityofnewyork.us (2024). 2017 Public Data File Parents [Dataset]. https://catalog.data.gov/dataset/2017-public-data-file-parents
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    2017 NYC School Survey parent data for all schools; Each year, all parents, teachers, and students in grades 6-12 take the NYC School Survey. The survey is aligned to the DOE's Framework for Great Schools. It is designed to collect important information about each school's ability to support student success. To understand the perceptions of families, students, and teachers regarding their school. School leaders use feedback from the survey to reflect and make improvements to schools and programs. Also, results from the survey used to help measure school quality.

  12. Public School Characteristics 2022-23

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). Public School Characteristics 2022-23 [Dataset]. https://catalog.data.gov/dataset/public-school-characteristics-2022-23-451db
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimates (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The CCD program annually collects administrative and fiscal data about all public schools, school districts, and state education agencies in the United States. The data are supplied by state education agency officials and include basic directory and contact information for schools and school districts, as well as characteristics about student demographics, number of teachers, school grade span, and various other administrative conditions. CCD school and agency point locations are derived from reported information about the physical location of schools and agency administrative offices. The point locations and administrative attributes in this data layer were developed from the 2022-2023 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. For more information about these CCD attributes, as well as additional attributes not included, see: https://nces.ed.gov/ccd/files.asp. Notes: -1 or M Indicates that the data are missing. -2 or N Indicates that the data are not applicable. -9 Indicates that the data do not meet NCES data quality standards. All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  13. p

    Trends in Total Classroom Teachers (1990-2023): U S Grant School

    • publicschoolreview.com
    Updated Nov 17, 2022
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    Public School Review (2022). Trends in Total Classroom Teachers (1990-2023): U S Grant School [Dataset]. https://www.publicschoolreview.com/u-s-grant-school-profile
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    Dataset updated
    Nov 17, 2022
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    This dataset tracks annual total classroom teachers amount from 1990 to 2023 for U S Grant School

  14. N

    2019 - 2020 School Year Local Law 226 Report for the Demographics of School...

    • data.cityofnewyork.us
    • catalog.data.gov
    csv, xlsx, xml
    Updated Dec 12, 2020
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    Department of Education (DOE) (2020). 2019 - 2020 School Year Local Law 226 Report for the Demographics of School Staff - Gender [Dataset]. https://data.cityofnewyork.us/Education/2019-2020-School-Year-Local-Law-226-Report-for-the/fnzt-d3f7
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Dec 12, 2020
    Dataset authored and provided by
    Department of Education (DOE)
    Description

    This report is prepared pursuant to Local Law 226 of 2019 regarding the demographics of school staff in New York City public schools. The law specifies the reporting of demographics (gender and race or ethnicity) for schools staff in three categories: teaching staff, leadership staff, and other professional and paraprofessional staff. Consistent with the law, the data is further disaggregated to show length of experience in the school and length of experience in the title. The data is shown for each school and aggregated for each community school district, by borough, and citywide. The following additional notes apply:

  15. d

    2017 - 2018 NYC School Survey Teacher Data

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 29, 2024
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    data.cityofnewyork.us (2024). 2017 - 2018 NYC School Survey Teacher Data [Dataset]. https://catalog.data.gov/dataset/2017-2018-nyc-school-survey-teacher-data
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    Dataset updated
    Nov 29, 2024
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    2017 - 2018 NYC School Survey Teacher Data

  16. U.S. elementary and secondary schools: pupil-teacher ratio 1955-2031

    • statista.com
    • tokrwards.com
    Updated Jul 23, 2025
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    Statista (2025). U.S. elementary and secondary schools: pupil-teacher ratio 1955-2031 [Dataset]. https://www.statista.com/statistics/185021/pupil-teacher-ratio-in-elementary-and-secondary-schools-since-1955/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The pupil-teacher ratio for private schools in the United States in 2021 was 12.5. For public schools, the pupil-teacher ratio stood at 15.4. By 2031, it is forecast that the pupil-teacher ratio for private schools will decrease to 10.1, and for public schools will decrease to 14.7.

  17. Public School Characteristics 2017-18

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Oct 21, 2024
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    National Center for Education Statistics (NCES) (2024). Public School Characteristics 2017-18 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/public-school-characteristics-2017-18-96c75
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    Dataset updated
    Oct 21, 2024
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The NCES EDGE program collaborates with the U.S. Census Bureau's Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop point locations for schools reported in the annual CCD directory file. The CCD program annually collects administrative and fiscal data about all public schools, school districts, and state education agencies in the United States. The data are supplied by state education agency officials and include basic directory and contact information for schools and school districts, as well as characteristics about student demographics, number of teachers, school grade span, and various other administrative conditions. CCD school and agency point locations are derived from reported information about the physical _location of schools and agency administrative offices. The point locations and administrative attributes in this data layer were developed from the 2017-2018 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. For more information about these CCD attributes, as well as additional attributes not included, see: https://nces.ed.gov/ccd/files.asp.Notes: -1 or M Indicates that the data are missing. -2 or N Indicates that the data are not applicable. -9 Indicates that the data do not meet NCES data quality standards. All information contained in this file is in the public _domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

  18. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Elementary and middle school teachers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254644300A
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    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Elementary and middle school teachers occupations: 16 years and over: Men (LEU0254644300A) from 2000 to 2024 about elementary, schools, second quartile, occupation, full-time, males, salaries, workers, education, earnings, 16 years +, wages, median, employment, and USA.

  19. Number and percentage distribution of private schools, students, and...

    • datasets.ai
    • catalog.data.gov
    53
    Updated Aug 6, 2024
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    Department of Education (2024). Number and percentage distribution of private schools, students, and full-time equivalent (FTE) teachers, by selected school characteristics: United States, 2017–18 [Dataset]. https://datasets.ai/datasets/number-and-percentage-distribution-of-private-schools-students-and-full-time-equivalent-ft-12721
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    53Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    United States Department of Educationhttps://ed.gov/
    Authors
    Department of Education
    Area covered
    United States
    Description

    Table 1. Number and percentage distribution of private schools, students, and full-time equivalent (FTE) teachers, by selected school characteristics: United States, 2017–18

  20. Education Industry Data | Education Professionals Worldwide Contact Data |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Education Industry Data | Education Professionals Worldwide Contact Data | Verified Work Emails for Educators & Administrators | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/education-industry-data-education-professionals-worldwide-c-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Papua New Guinea, Guam, Malta, Bermuda, Honduras, Christmas Island, Botswana, Ethiopia, Antarctica, Slovakia
    Description

    Success.ai’s Education Industry Data with B2B Contact Data for Education Professionals Worldwide enables businesses to connect with educators, administrators, and decision-makers in educational institutions across the globe. With access to over 170 million verified professional profiles, this dataset includes crucial contact details for key education professionals, including school principals, department heads, and education directors.

    Whether you’re targeting K-12 educators, university faculty, or educational administrators, Success.ai ensures your outreach is effective and efficient, providing the accurate data needed to build meaningful connections.

    Why Choose Success.ai’s Education Professionals Data?

    1. Comprehensive Contact Information
    2. Access verified work emails, direct phone numbers, and LinkedIn profiles for educators, administrators, and education leaders worldwide.
    3. AI-driven validation guarantees 99% accuracy, ensuring the highest level of reliability for your outreach.

    4. Global Reach Across Educational Roles

    5. Includes profiles of K-12 teachers, university professors, education directors, and school administrators.

    6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

    7. Continuously Updated Datasets

    8. Real-time updates ensure that you’re working with the most current contact information, keeping your outreach relevant and timely.

    9. Ethical and Compliant

    10. Success.ai’s data is fully GDPR, CCPA, and privacy regulation-compliant, ensuring ethical data usage in all your outreach efforts.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Includes educators and administrators across various levels of education.
    • 50M Work Emails: Verified and AI-validated emails for seamless communication.
    • 30M Company Profiles: Rich insights into educational institutions, supporting detailed targeting.
    • 700M Global Professional Profiles: Enriched datasets for comprehensive outreach across the education sector.

    Key Features of the Dataset:

    1. Education Decision-Maker Profiles
    2. Identify and connect with decision-makers at educational institutions, including principals, department heads, and education directors.
    3. Reach K-12 educators, higher education faculty, and administrative professionals with relevant needs.

    4. Advanced Filters for Precision Targeting

    5. Filter by educational level, subject area, location, and specific roles to tailor your outreach campaigns for precise results.

    6. AI-Driven Enrichment

    7. Profiles are enriched with actionable data to provide valuable insights, ensuring your outreach efforts are impactful and effective.

    Strategic Use Cases:

    1. Educational Product and Service Marketing
    2. Promote educational tools, software, or services to decision-makers in schools, colleges, and universities.
    3. Build relationships with educators to present curriculum solutions, digital learning platforms, and teaching resources.

    4. Recruitment and Talent Acquisition

    5. Target educational institutions and administrators with recruitment solutions or staffing services for teaching and support staff.

    6. Engage with HR professionals in the education sector to promote job openings and talent acquisition services.

    7. Professional Development Programs

    8. Reach educators and administrators to offer professional development courses, certifications, or training programs.

    9. Provide online learning solutions to enhance the skills of educators worldwide.

    10. Research and Educational Partnerships

    11. Connect with education leaders for research collaborations, institutional partnerships, and academic initiatives.

    12. Foster relationships with decision-makers to support joint ventures in the education sector.

    Why Choose Success.ai?

    1. Best Price Guarantee
    2. Success.ai offers high-quality, verified data at the best possible prices, making it a cost-effective solution for your outreach needs.

    3. Seamless Integration

    4. Integrate this verified contact data into your CRM using APIs or download it in your preferred format for streamlined use.

    5. Data Accuracy with AI Validation

    6. With AI-driven validation, Success.ai ensures 99% accuracy for all data, providing you with reliable and up-to-date information.

    7. Customizable and Scalable Solutions

    8. Tailor data to specific education sectors or roles, making it easy to target the right contacts for your campaigns.

    APIs for Enhanced Functionality:

    1. Data Enrichment API
    2. Enhance existing records in your database with verified contact data for education professionals.

    3. Lead Generation API

    4. Automate lead generation campaigns for educational services and products, ensuring your marketing efforts are more efficient.

    Leverage Success.ai’s B2B Contact Data for Education Professionals Worldwide to connect with educators, administrators, and decision-makers in the education sector. With veri...

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National Center for Education Statistics (NCES) (2023). Teachers' Use of Educational Technology in U.S. Public Schools, 2009 [Dataset]. https://catalog.data.gov/dataset/teachers-use-of-educational-technology-in-u-s-public-schools-2009-b803a
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Teachers' Use of Educational Technology in U.S. Public Schools, 2009

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Dataset updated
Aug 13, 2023
Dataset provided by
National Center for Education Statisticshttps://nces.ed.gov/
Description

Teachers' Use of Educational Technology in U.S. Public Schools, 2009 (FRSS 95), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 95 (https://nces.ed.gov/surveys/frss/) is a sample survey that provides national estimates on the availability and use of educational technology among teachers in public elementary and secondary schools during 2009. This is one of a set of three surveys (at the district, school, and teacher levels) that collected data on a range of educational technology resources. The study was conducted using surveys via the web or by mail. Telephone follow-up for survey non-response and data clarification was also used. Questionnaires and cover letters for the teacher survey were mailed to sampled teachers at their schools. Public schools and teachers within those schools were sampled. The weighted response rate for schools providing lists of teachers for sampling was 81 percent, and the weighted response rate for sampled teachers completing questionnaires was 79 percent. Key statistics produced from FRSS 95 were information on the use of computers and internet access in the classroom; availability and use of computing devices, software, and school or district networks (including remote access) by teachers; students' use of educational technology; teachers' preparation to use educational technology for instruction; and technology-related professional development activities.

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