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.
Indicators
SES
Parents' education level, family structure, parents' employment status, household income, parents' immigration status.
Academic performance
Academic performance, overall and by subject, language skills.
Motivation
Motivation in reading, writing and mathematics, attachment to school, self-concept, investment in school, time devoted to homework, frequency of reading, quality of participation in class.
Behaviour
Hyperactivity, inattention, emotional problems, anxiety, shyness, aggression, opposition, altruism.
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.
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.
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.
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.