Student Achievement Trajectories in Ontario: Creating and validating a province-wide, multi-cohort and longitudinal database
Introduction Longitudinal data that tracks student achievement over many years are crucial for understanding children's learning and for guiding effective policies and interventions. Despite being Canada's most populous province, Ontario lacks such large-scale and longitudinal data on stu...
Главные авторы: | , , |
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Формат: | Статья |
Язык: | English |
Опубликовано: |
Swansea University
2023-02-01
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Серии: | International Journal of Population Data Science |
Предметы: | |
Online-ссылка: | https://ijpds.org/article/view/1843 |