Responding to Students of Concern

Best Practices for Behavioral Intervention Teams

Topics: Student Affairs, Student Health and Wellness, Mental Health and Counseling, Student Health Centers, Alcohol and Drug Use, Student Experience, Special Populations, Academic Support Programs

Practice #18: Forecasting Future Student Needs

Using BIT Data to Inform Strategic Planning

Team Metrics Help Identify Student Trends and Project Future Needs

In thinking broadly about student success, research contacts assert that BIT data can be very useful in strategic planning initiatives. The Forum observed three main ways that institutions can leverage BIT data to help with resource allocation and service planning.

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Leveraging BIT Results in Strategic Planning

Divisional Leaders Use Data in Resource Decisions

First, the data can help institutions rightsize resource allocations, highlighting alignment problems or emerging needs. For example, the University of Utah used BIT data to successfully make the case for a new position in the Student Aff airs division.

In making the resource ask, they used growing case volume and complexity along with the number of departments impacted to demonstrate the need for a new role. Added in 2010, the BIT specialist serves as the team’s chair as well as a case manager and recordkeeper.

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Using BIT Work to Identify Student Trends

Highlighting Emerging Subpopulations at The University of Mississippi

Second, interviewees also noted how BIT data and student outcomes can be useful in pinpointing programming gaps or challenging cohorts. At the University of Mississippi, Student Intervention Team (SIT) data showed that out-of-state Greek males were growing as a proportion of students of concern.

The team chair subsequently took the data to the university’s Retention Strategy Committee to discuss this trend with a broader group of faculty, staff , and administrators.

Forum research contacts suggested that having this data created an opportunity for the institution to address this emerging population through programming and proactive outreach.

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Estimating Impact of Enrollment Growth

BIT Data Helps Model Future Staffing Costs and Service Changes

Finally, the Forum believes that BIT data can be useful in thinking broadly about student trends. Having longitudinal metrics regarding BIT case trends, counseling referrals, and registered disabilities can help institutions think more concretely about staffi ng projections and service planning. This information can be especially important as institutions explore various resource trade-offs, modeling the downstream impact of expanding enrollment or recruiting diff erent student demographics.

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Practice #17: Student Success Outcomes