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Student Data

Tracking student data empowers educators to identify which students are at-risk. There are several powerful indicators that allow educators to make predictions about student success. These indicators include- socio-economic status (SES), academic performance,  motivation and behaviour. 


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Tracking data- failure in a core subject, attendance, credits needed for graduation- over the first three semesters of high school (grade 9/Sec III), can predict 90% of drop out. 

Bowers, A. (2015). Students at-risk, Sage Publications.

Quebec Publications

Check out these publications that focus on at-risk students in Quebec.

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This publication is based on data from the Québec Longitudinal Study of Child Development (QLSCD). It describes the characteristics of 12-year-old elementary school students at risk of dropping out of high school and the factors that best predict that risk from the age of 7. At-risk students, both with and without discipline problems, are compared to not-at-risk students.

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This interactive publication has a section titled, "Qui sont les jeunes à  risque?" that outlines some of the characteristics of Secondary V students at-risk of dropping out of high school. 

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The First Signs guide contains descriptions of the four types of students at risk in elementary school, recommendations and courses of action targeted for each type of student at risk.

Not all at-risk students are the same.
Here are 4 categories that highlight their abilities and needs.


Quiet Dropouts

  • Do not present any discipline problems

  • High levels of school engagement

  • Low academic performance (just above passing mark)

  • Represent 40% of dropouts

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