Strategies for Using Canvas Data 2 to Improve Student Retention (Discussion/Ideas)
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Hi everyone,
I’m looking for ways to evaluate and improve student retention at our university, and I’m particularly interested in leveraging data from Canvas Data 2 as well as other sources to identify and support struggling students.
At the moment, I’m exploring the best ways to analyze and apply data effectively to flag students who might need additional resources or interventions. We are pulling in Canvas Data on a nightly basis and are attempting to evaluate and backtest data to see what might be good indicators of measuring student success.
I’d love to learn from the experiences of other institutions:
- What metrics or indicators do you find most predictive of student struggles (e.g., low engagement, missing assignments, grades, web_logs)?
- How do you act on this data—what strategies or interventions have been successful for you?
- Do you supplement Canvas data with other tools or sources?
If you’ve found creative or effective ways to integrate and act on data to improve retention, I’d love to hear about them. Any challenges you’ve faced or lessons learned would be invaluable. Thanks in advance for sharing your insights! I’m happy to discuss further or collaborate if others are exploring similar initiatives.
- Labels:
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academic engagement
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academic support
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at-risk students
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Canvas Analytics
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Canvas Data 2
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data analysis
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data-driven decisions
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early alerts
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educational analytics
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Higher Education
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learning analytics
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low engagement
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predictive analytics
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predictive metrics
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retention strategies
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struggling students
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student data
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student retention
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student success
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web_logs