Local Law 15 (2016) requires that NYCDOE provide citywide Health Education instructor data, disaggregated by commuunity school district, city council district, and individual school data. Report provides school level data on the number of teachers assigned to teach health in grades K - 12 in the 2015-16 school year. Data is based on STARS scheduling data. Teachers are considered to be health instructors if they were assigned to a health course with active students enrolled during 2015-16 school year. Please note, Health Education in grades K-5 can be taught by the elementary classroom teacher, which helps explain why the elementary grades have a much higher number of teachers assigned to teach health than the middle and high school grades.
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.
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Includes profiles of K-12 teachers, university professors, education directors, and school administrators.
Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.
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Data Highlights:
Key Features of the Dataset:
Reach K-12 educators, higher education faculty, and administrative professionals with relevant needs.
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Build relationships with educators to present curriculum solutions, digital learning platforms, and teaching resources.
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Target educational institutions and administrators with recruitment solutions or staffing services for teaching and support staff.
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Reach educators and administrators to offer professional development courses, certifications, or training programs.
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Tailor data to specific education sectors or roles, making it easy to target the right contacts for your campaigns.
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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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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.
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LearnPlatform is a unique technology platform in the K-12 market providing the only broadly interoperable platform to the breadth of edtech solutions in the US K12 field. A key component of edtech effectiveness is integrated reporting on tool usage and, where applicable, evidence of efficacy. With COVID closures, LearnPlatform has emerged as an important and singular resource to measure whether students are accessing digital resources within distance learning constraints. This platform provides a unique and needed source of data to understand if students are accessing digital resources, and where resources have disparate usage and impact.In this dataset we are sharing educational technology usage across the 8,000+ tools used in the education field in 2020. We make this dataset available to public so that educators, district leaders, researchers, institutions, policy-makers or anyone interested to learn about digital learning in 2020, can use this dataset to understand student engagement with core learning activities during the COVID-19 pandemic. Some example research questions that this dataset can help stakeholders answer: What is the picture of digital connectivity and engagement in 2020?What is the effect of the COVID-19 pandemic on online and distance learning, and how might this evolve in the future?How does student engagement with different types of education technology change over the course of the pandemic?How does student engagement with online learning platforms relate to different geography? Demographic context (e.g., race/ethnicity, ESL, learning disability)? Learning context? Socioeconomic status?Do certain state interventions, practices or policies (e.g., stimulus, reopening, eviction moratorium) correlate with increases or decreases in online engagement?
Citywide Class Size Report, including Region, District, School, Program, Grade or Service Category, Average Class Size, and Pupil / Teacher Ratio (PTR) SOURCES: 10/31/06 Official Register (K-9) and 12/15/06 Register/Schedule (9-12) Grade 9 not in high schools Indicates how special class is delivered For schools with students in any grades between Kindergarten and 9th grade (where 9th grade is the termination grade for the school), class size is reported by four program areas: general education, special education self-contained class, collaborative team teaching and gifted and talented self-contained class. Within each program area class size is reported by grade or service category, which indicates how a special education self-contained class is delivered. Class size is calculated by dividing the number of students in a program and grade by the number of official classes in that program and grade. The following data is excluded from all the reports: District 75 schools, bridge classes which span more than one grade, classes with fewer than five students (for other than special education self-contained classes) and classes with one student (for special education self-contained classes). On the summary reports programs and grades with three or fewer classes are excluded from the citywide, borough and region reports and programs and grades with one class are excluded from the district report. For schools with students in any grades between 9th and 12th grade (where 9th grade is not the termination grade for the school), class size is reported by two program areas: general education and special education. For general education students class size is reported by grade for each core subject area: English, Math, Science and Social Studies. For special education students with a self-contained program recommendation, class size is reported by service category (self-contained or mainstream) for each core subject area. Since high school classes may contain students in multiple grades and programs, class size is calculated by taking a weighted average of all the classes in a core subject area with students in a particular grade or program. For example, there are 75 ninth graders enrolled at a high school. 25 ninth graders attend a Math class with 28 students, a second group of 25 ninth graders attend a Math class with 25 students, and a third group of 25 ninth graders attend a Math class with 30 students. Average class size for ninth grade Math equals: (25x28 + 25x25 + 25x30)/75 = 27.7. The Pupil Teacher Ratio is also provided on the school level report. Pupil Teacher Ratio is another means to evaluate the instructional resources provided at a school. Pupil Teacher Ratio for All Students is calculated by dividing the number of students at a school by the number of full-time equivalent teachers, including both teachers in classes taught by two teachers, “cluster” teachers providing instruction in specialized topics like art or science, and teachers providing special education instruction. Pupil Teacher Ratio Excluding Special Education is calculated by dividing the number of non-special education students at a school by the number of full-time equivalent non-special education teachers.
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Historical Dataset of Edmonds Heights K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2005-2023),Total Classroom Teachers Trends Over Years (2006-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2016-2023),American Indian Student Percentage Comparison Over Years (2007-2023),Asian Student Percentage Comparison Over Years (2005-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2005-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2005-2023),Free Lunch Eligibility Comparison Over Years (2006-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2006-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2022)
Integrated computing uses computing tools and concepts to support learning in other disciplines while giving all students opportunities to experience computer science. Integrated computing is often motivated as a way to introduce computing to students in a low-stakes environment, reducing barriers to learning computer science, often especially for underrepresented groups. This dataset examined integrated computing activities implemented in US schools to examine which programming and CT concepts they teach and whether those concepts differed across contexts. We gathered data on 262 integrated computing activities from in-service K-12 teachers and 20 contextual factors related to the classroom (i.e., primary discipline, grade level, programming paradigm, programming language, minimum amount of time the lesson takes, source of the lesson plan), the teacher (i.e., years teaching, current role (classroom teacher, tech specialist, STEM specialist, etc.), grade levels taught, disciplines taugh..., Procedure Data about integrated computing lessons in non-CS classrooms were collected from in-service K-12 teachers in the United States via an online survey, and 262 surveys were completed. Participants were recruited first through teacher networks and districts to include diverse populations and then through LinkedIn. Teachers received a $100 gift card upon completion of the survey, which took approximately 30 minutes. Due to the incentive, submissions were screened during data collection to ensure eligibility (i.e., having a valid school district email) and quality (described below). Â Instrument The survey asked about the programming and CT concepts taught in the activities and 20 factors related to classroom, teacher, and school context. The programming concepts included were based on a framework developed by Margulieux et al., 2023. A full list of concepts and contextual factors can be found below. Due to the large sample size, the survey was designed to be primarily quantitative ..., , # Programming and Computational Thinking Concepts and Contextual Factors in Integrated Computing Activities in U.S. Schools
https://doi.org/10.5061/dryad.ttdz08m6v
Some of the early submissions were missing questions related to school context. These missing data are marked as "null".
Survey Questions and Descriptive Statistics
Qualitative Questions (all open-ended):
Title of lesson plan One sentence describing the activity topic (e.g., In this activity, students apply their computational thinking skills to explore the life cycle of a butterfly.) One sentence describing the disciplinary learning objective (e.g., The primary learning goal is to model the life cycle of a butterfly.) One sentence describing the computing learning objective (e.g., Students will conditionals to match body features to life stages.) 1-3 sentences describing the instructional paradigm (e.g., Students will discuss butterfli...
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Historical Dataset of Ten Sleep K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),American Indian Student Percentage Comparison Over Years (2011-2015),Asian Student Percentage Comparison Over Years (2009-2020),Hispanic Student Percentage Comparison Over Years (2008-2022),Black Student Percentage Comparison Over Years (2008-2009),White Student Percentage Comparison Over Years (2009-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (2010-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2009-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2021)
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Historical Dataset of White Pine K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2005),Total Classroom Teachers Trends Over Years (1994-2007),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1995-2005),American Indian Student Percentage Comparison Over Years (1989-2005),Asian Student Percentage Comparison Over Years (1990-2005),Hispanic Student Percentage Comparison Over Years (1996-2003),Black Student Percentage Comparison Over Years (2001-2002),White Student Percentage Comparison Over Years (1989-2005),Diversity Score Comparison Over Years (1988-2005),Free Lunch Eligibility Comparison Over Years (1990-2005),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2005)
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Historical Dataset of Polaris K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1996-2023),Total Classroom Teachers Trends Over Years (1996-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1996-2023),American Indian Student Percentage Comparison Over Years (1996-2023),Asian Student Percentage Comparison Over Years (1996-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1996-2023),White Student Percentage Comparison Over Years (1996-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2009-2023),Diversity Score Comparison Over Years (1996-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)
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Historical Dataset of Emerson K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2003-2023),Total Classroom Teachers Trends Over Years (2002-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2012-2023),American Indian Student Percentage Comparison Over Years (2001-2023),Asian Student Percentage Comparison Over Years (2002-2023),Hispanic Student Percentage Comparison Over Years (2003-2023),Black Student Percentage Comparison Over Years (2003-2014),White Student Percentage Comparison Over Years (2003-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2011-2020),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2003-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2011-2020),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2019)
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Historical Dataset of Kenosha Eschool K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2013-2023),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2013-2023),American Indian Student Percentage Comparison Over Years (2014-2023),Asian Student Percentage Comparison Over Years (2013-2023),Hispanic Student Percentage Comparison Over Years (2013-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2013-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2013-2023),Free Lunch Eligibility Comparison Over Years (2013-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2013-2023),Reading and Language Arts Proficiency Comparison Over Years (2013-2019),Math Proficiency Comparison Over Years (2013-2019),Overall School Rank Trends Over Years (2013-2019),Graduation Rate Comparison Over Years (2013-2020)
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Historical Dataset of Whittier K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1990-2023),Total Classroom Teachers Trends Over Years (1992-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1991-2023),American Indian Student Percentage Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (1990-2023),Hispanic Student Percentage Comparison Over Years (1990-2023),Black Student Percentage Comparison Over Years (1990-2023),White Student Percentage Comparison Over Years (1990-2023),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2011-2015),Two or More Races Student Percentage Comparison Over Years (2010-2023),Diversity Score Comparison Over Years (1990-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Overall School Rank Trends Over Years (2010-2022),Graduation Rate Comparison Over Years (2011-2018)
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Historical Dataset of Sierra Grande K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),American Indian Student Percentage Comparison Over Years (2000-2022),Asian Student Percentage Comparison Over Years (1988-2013),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1996-2022),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)
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Historical Dataset of Ucla Community K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2012-2022),Total Classroom Teachers Trends Over Years (2013-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2012-2022),American Indian Student Percentage Comparison Over Years (2011-2014),Asian Student Percentage Comparison Over Years (2012-2022),Hispanic Student Percentage Comparison Over Years (2012-2022),Black Student Percentage Comparison Over Years (2012-2022),White Student Percentage Comparison Over Years (2011-2022),Native Hawaiian or Pacific Islander Student Percentage Comparison Over Years (2010-2012),Two or More Races Student Percentage Comparison Over Years (2010-2022),Diversity Score Comparison Over Years (2012-2022),Free Lunch Eligibility Comparison Over Years (2011-2022),Reduced-Price Lunch Eligibility Comparison Over Years (2010-2022),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)
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Historical Dataset of Mackinaw City K12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1994-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1994-2023),American Indian Student Percentage Comparison Over Years (1990-2023),Asian Student Percentage Comparison Over Years (2002-2023),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (2000-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1992-2023),Free Lunch Eligibility Comparison Over Years (1998-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)
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Historical Dataset of Mary Meredith K-12 School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1999-2023),Total Classroom Teachers Trends Over Years (2001-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2001-2023),American Indian Student Percentage Comparison Over Years (1998-2021),Hispanic Student Percentage Comparison Over Years (1999-2023),Black Student Percentage Comparison Over Years (1998-2023),White Student Percentage Comparison Over Years (1999-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (1999-2023),Free Lunch Eligibility Comparison Over Years (2004-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2005-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2011-2019)
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This dataset tracks annual total classroom teachers amount from 1990 to 2023 for Memorial School
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Historical Dataset of Avalon K-12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (1996-1998),Asian Student Percentage Comparison Over Years (1993-2014),Hispanic Student Percentage Comparison Over Years (1992-2023),Black Student Percentage Comparison Over Years (1992-2000),White Student Percentage Comparison Over Years (1992-2023),Two or More Races Student Percentage Comparison Over Years (2017-2023),Diversity Score Comparison Over Years (1992-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)
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Historical Dataset of International Academy Of Flint K12 is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2003-2023),Total Classroom Teachers Trends Over Years (2002-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2002-2023),American Indian Student Percentage Comparison Over Years (2000-2023),Asian Student Percentage Comparison Over Years (2008-2013),Hispanic Student Percentage Comparison Over Years (2002-2023),Black Student Percentage Comparison Over Years (2003-2023),White Student Percentage Comparison Over Years (2003-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2003-2023),Free Lunch Eligibility Comparison Over Years (2003-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2003-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)
Local Law 15 (2016) requires that NYCDOE provide citywide Health Education instructor data, disaggregated by commuunity school district, city council district, and individual school data. Report provides school level data on the number of teachers assigned to teach health in grades K - 12 in the 2015-16 school year. Data is based on STARS scheduling data. Teachers are considered to be health instructors if they were assigned to a health course with active students enrolled during 2015-16 school year. Please note, Health Education in grades K-5 can be taught by the elementary classroom teacher, which helps explain why the elementary grades have a much higher number of teachers assigned to teach health than the middle and high school grades.