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In What Ways Can Data Modeling Improve Student Retention Rates in Higher Education Institutions?

Data modeling can help schools keep students in college longer. Here’s how it works:

  1. Predictive Analytics: Colleges can look at past data to find students who might struggle. This can help them keep up to 25% more students.

  2. Customized Interventions: By grouping students based on things like age and grades, schools can create special support programs. These programs can help raise graduation rates by about 15%.

  3. Resource Allocation: Data models can help schools decide how to use their resources better. This leads to more student involvement and satisfaction, which can increase retention by around 10%.

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In What Ways Can Data Modeling Improve Student Retention Rates in Higher Education Institutions?

Data modeling can help schools keep students in college longer. Here’s how it works:

  1. Predictive Analytics: Colleges can look at past data to find students who might struggle. This can help them keep up to 25% more students.

  2. Customized Interventions: By grouping students based on things like age and grades, schools can create special support programs. These programs can help raise graduation rates by about 15%.

  3. Resource Allocation: Data models can help schools decide how to use their resources better. This leads to more student involvement and satisfaction, which can increase retention by around 10%.

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