A decision-making framework for Associate Deans of Admissions in higher education

Module 1: Understanding AI Research

By the end of this module, you will be able to:

• Identify at least two key findings from AI enrollment funnel prediction research
• Connect those findings to your institution's enrollment goals
• Recognize the questions to ask before adopting a predictive tool

Evaluating AI Enrollment Tools

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Concept Map

Module 2: Apply the Strategic Alignment Framework

After this module, learners will be able to:

• Match two AI research findings to institutional goals.
• Explain the five Strategic Alignment Framework criteria.
• Score an AI initiative using the Decision Matrix.
• Interpret the total score to judge institutional readiness.

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Executive Decision Scenario:

Should Franklin Cummings Tech Adopt an AI Enrollment Funnel Prediction Tool?

Franklin Cummings Tech is a small, career-focused institution serving a predominantly first-generation and low-income student population in Boston. Leadership is working toward a fall enrollment goal of 500 new students amid increasing competition from other workforce programs. A vendor is proposing an AI enrollment funnel prediction tool at an annual cost of $45,000. The tool promises to identify high-yield prospects and improve recruitment targeting. However, your student population is underrepresented in most training datasets, your data infrastructure is limited, and faculty have raised concerns about algorithmic bias affecting equitable access. You have 60 days to make a decision.

Begin Scoring

Audio Framework Walkthrough

Strategic Alignment Framework

All Set

Stakeholder Impact Chart