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Big data in education is generated mainly by collecting data on people (e.g. students, teachers, parents, administrators, and other support personnel), infrastructures (e.g. schools, libraries, computing facilities, educational locations, museums, universities, and other related entities), and information (e.g. courses, books, exams, grades, economic surveys, assessments, reports, and much more).
Further research across different educational locations would be beneficial.
Participant driving costs to educational locations were estimated by using an average of 5 km driving distance multiplied by the general mileage allowance for Germany.
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Inter-group comparisons were also performed to determine if there were significant differences in the gender, mean age, marital status, educational status, location of residence, time to presentation, co-morbid chronic medical disease, location of ocular pathology, and the best corrected visual acuity at presentation.
These attributes will help us filter as we review hundreds of candidates online: years of experience, previous experience, specific skills, educational background, location, work at a particular type of company.
Some technological tools contribute to educational resources location and selection, such as repositories of Learning Object [1, 2] and Recommender Systems of educational resources [3].
Using variables such as sex, marital status, educational level, location of residence (metropolitan versus provincial), injury mechanism, and year, we calculated and compared the mortality rates and percentiles because of burn injury, and determined the adjusted odds ratio (OR) to assess the effect of socioeconomic factors on suicide deaths.
An obvious advantage of our dataset is that it enables us to study the relative impacts of both overeducation and overskilling among migrant and native male and female graduates, controlling for the effects of educational quality, location specific human capital and language difficulties.
Patient characteristics i.e. age, sex, height, weight, educational level, location of OA, disease duration and the presence of comorbidities will be assessed at baseline.
Research nursing schools and nursing programs for the best ones that meet your financial, educational and location requirements.
Four competencies were identified with reference to the educational importance of location-based questions: contextualization, creativity, critical thinking, and information and communication technology (ICT) literacy.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com