https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The data includes:
This dataset is reported during October submissions by schools and school boards in the Ontario School Information System (OnSIS).
Educators include teachers, administrators, early childhood educators, long- term occasional (LTO) teachers and LTO early childhood educators.
LTO educator data is based on data reported by school boards. The definition of an LTO teacher or LTO early childhood educator may vary across school boards based on local collective agreements in place.
The data does not include personnel on leave, as well as educators at:
Small cells have been suppressed. Where fewer than 10 educators are in a given category, the data is shown with (< 10). Suppressed totals are shown with (SP).
The report may not be used in any way that could lead to the identification of an individual.
*[LTO]: long-term occasional
The number of educators in public elementary and secondary schools, by full-time and part-time work status, age group and sex.
The number of full-time and part-time educators in public elementary and secondary schools, by age group and sex, last five school years.
The data includes: * academic year * region * board number * board name * board language * board type * elementary school male educators * elementary school female educators * secondary school male educators * secondary school female educators * total male educators * total female educators * total educators This dataset is reported during October submissions by schools and school boards in the Ontario School Information System (OnSIS). Educators include teachers, administrators, early childhood educators, long- term occasional (LTO) teachers and LTO early childhood educators. LTO educator data is based on data reported by school boards. The definition of an LTO teacher or LTO early childhood educator may vary across school boards based on local collective agreements in place. The data does not include personnel on leave, as well as educators at: * private schools * hospital and provincial schools * care and/or treatment, custody and correctional facilities * summer, night and adult continuing education day schools Small cells have been suppressed. Where fewer than 10 educators are in a given category, the data is shown with (< 10). Suppressed totals are shown with (SP). The report may not be used in any way that could lead to the identification of an individual. *[LTO]: long-term occasional
https://borealisdata.ca/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.5683/SP3/NFGVXNhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.5683/SP3/NFGVXN
Background: Many schools returned to hybrid or in-person learning in 2021 to optimize students’ education and mental health; however, the physical and mental health repercussions of this approach on education workers was not fully understood. Aims of the CITF-funded study: The CCS-2 aimed to investigate 1) the prevalence of past exposure to SARS-CoV-2 and rate of exposure during the study period; 2) the effect of vaccination on antibody levels in vaccinated participants; 3) to identify stress factors and the psychological impacts of working during a pandemic. Methods: This cohort study recruited teachers and other education workers employed by a school board in Ontario including educational assistants, principals, school office staff, custodians, librarians, and early childhood educators. Participants were recruited via social media. At enrolment, they were tested for SARS-CoV-2 antibodies and completed questionnaires about risk factors, past infections, and COVID-19 vaccination. They were followed for 14 months completing questionnaires about exposures every 10 weeks (randomly assigned weeks) and questionnaires about respiratory illnesses and COVID-19 vaccinations as needed. Dried blood spot samples were collected every 13 weeks and 30 days after each COVID vaccine dose to assess IgG antibody levels Contributed dataset contents: The datasets include 3,426 participants who completed their baseline questionnaires between February 2021 and March 2022. 80% of participants (2,752) gave one or more blood samples for SARS-CoV-2 during this period (at baseline and follow-up). A total of 9,495 samples were collected. 3,087 participants have linked COVID-19 vaccine data. Variables include data in the following areas of information: demographics (age, gender, race, occupation), general health (smoke, other diseases, influenza vaccine), exposure risk factors (household, travel history), COVID-19 vaccines, and serology.
https://borealisdata.ca/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.5683/SP3/XJ66PShttps://borealisdata.ca/api/datasets/:persistentId/versions/1.2/customlicense?persistentId=doi:10.5683/SP3/XJ66PS
A study which examined the causes, manifestations, and prevention of the student dropout problem in Ontario's secondary schools. The major part of the study consists of a telephone survey. The survey covered: a profile of the dropout, presents a demographic profile; ethnic and language data; perspectives on the dropout's family background; perspectives on the family's influence; and goals, aspirations, and value orientations. Additional interviews with teachers, parents, and employees focused on the dropout and the school system, including school subjects; academic and performance evaluations of dropouts and graduates; school history; grade levels; early identification; program divisions; and attitudes about the school system. Drop-outs were also interviewed on the issue of dropping out, looking at the year and grade of the dropout; the decision to leave school; reasons for leaving; teacher views; and the future after dropping out. The survey also examined the student who drops back into school after dropping out. Additional questions consider ways to keep potential dropouts in school and looks at dropouts' own suggestions for changing the system.
Data on teachers' salaries in Canadian dollars are presented.
The Ontario College Applicant Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on the decision-making process of applicants in regards to choosing a college and area of study. Colleges wanted further insight into their applicant pool to optimize the use of scarce resources, time, and money. In addition, it provided information for marketing, recruitment, and enrolment management strategies. It also covered applicants' financial preparedness for college. Participants were selected from a random sample that matched key demographic indicators (e.g. age, region, and applicant status) ensuring representation of the general applicant pool. Some of the major subject areas covered include prior education, college selection, issues of concern, academic activities, and finances. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.
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https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
The data includes:
This dataset is reported during October submissions by schools and school boards in the Ontario School Information System (OnSIS).
Educators include teachers, administrators, early childhood educators, long- term occasional (LTO) teachers and LTO early childhood educators.
LTO educator data is based on data reported by school boards. The definition of an LTO teacher or LTO early childhood educator may vary across school boards based on local collective agreements in place.
The data does not include personnel on leave, as well as educators at:
Small cells have been suppressed. Where fewer than 10 educators are in a given category, the data is shown with (< 10). Suppressed totals are shown with (SP).
The report may not be used in any way that could lead to the identification of an individual.
*[LTO]: long-term occasional