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Session Submission Type: Paper Session
How can data analysis help predict which students are at risk of academic failure or dropping out of school? This session will highlight analysis from different contexts in both the U.S. and Canadaian and foster a dialogue on ways we can better understand what the data is telling us so we can shape policies and programs to better support students.
Impact Study of a Predictive Approach to Student Achievement and Targeted Pedagogical Interventions - Serge Boule, Centre canadien de leadership en évaluation; Mario Gagnon, Ontario Ministry of Education
One Day Too Late? Mobile Students in an Era of Accountability - Umut Ozek, American Institutes for Research
Using the Freshman On-Track Indicator to Predict Graduation in a Midwest Urban District - Heather Norbury, American Institutes for Research; Manyee Wong, American Institutes for Research; Yinmei Wan, American Institutes for Research; Emily Metz, American Institutes for Research