Division of Academic Success and Student Affairs

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Academic Success and Student Affairs
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Strategic Plan
Leverage Technology and Data for Student Success

Leverage Technology and Data for Student Success

While identifying and developing appropriate uses for generative AI, DASSA will deploy academic degree planning tools and utilize data to advance retention and student success efforts.

Goals

Identify and operationalize a coordinated academic plan system

Strategies/Initiatives	Outcome Measure/Metric
Fall '24 Collaborate with SEM and Registrar to identify and evaluate exisiting degree planning tools available.	100% of new Freshmen Fall of '26 will engage with the planning tool at NSO Advising or during Fall '26 priority registration.
Spring '25 Gather consensus from advising community to select either an exisiting degree planning tool or recommend need for RFP.	Completion of strategy.
Summer/Fall '25 Launch implementation of an exisiting degree planning tool OR launch RFP process.	Completion of strategy.

To support improved decision making, partner with SEM and DAIR to utilize quantitative and qualitative data to advance retention and student success efforts

Strategies/Initiatives	Outcome Measure/Metric
AY 24-25 Establish working team with Division of Assessment and Institutional Research (DAIR) and EAB Navigate administrator to identify best tools for capturing and reporting related to leading retention indicators then develop protocols, expectations, and reporting for proactive use of leading retention indicators.	New Student Data Analytics Dashboards launched for Fall '25 usage.
AY 24-25 in conjunction with DAIR and SEM collect data from strategic partners on the use and effectiveness of exisiting dashboards through listening sessions at UAC, CAPP, Deans meeting, DASSA Exec.	Completion of strategy.
Spring of '25 Establish cross division team with DAIR an ACE (DASSA) to select tool for capturing and reporting leading indicator data points and develop protocols, expectations and reporting for proactive outreach driven by leading indicators.	Completion of strategy.

Identify and develop appropriate uses for generative AI