Why AI matters at this scale

Highline College is a public community college in Des Moines, Washington, serving a diverse population of over 10,000 students, many of whom are first-generation, low-income, or adult learners. Founded in 1961, its mission centers on open access, student success, and community engagement. As a mid-sized institution with 501-1000 employees, it operates with the agility to pilot innovations but faces the budget constraints and complex student needs typical of the public higher education sector.

For an institution of Highline's size and mission, AI is not a luxury but a strategic tool to achieve scale and personalization. With limited administrative and advising staff, AI can automate routine tasks, provide always-available student support, and deliver data-driven insights to improve outcomes. This is critical for retaining students and ensuring they graduate, which directly impacts institutional funding and community impact. AI can help bridge equity gaps by offering tailored support that adapts to each student's background and learning pace.

Concrete AI Opportunities with ROI Framing

1. AI-Powered Student Success Hub: Implementing a predictive analytics platform that identifies students at risk of dropping out based on engagement, grades, and demographic data. By alerting advisors early, the college can proactively intervene. The ROI comes from increased retention—each retained student represents continued tuition revenue and improved graduation rates, which can boost state funding and reputation.

2. Scalable Academic Support: Deploying AI tutoring and writing assistants for high-demand, high-failure-rate courses like math and English. These tools provide instant, personalized feedback, supplementing overstretched faculty and tutoring centers. The ROI is measured in improved pass rates, reduced need for remedial course repeats, and higher student satisfaction, leading to better course completion metrics.

3. Operational Efficiency through Automation: Using AI to handle frequent student inquiries about admissions, financial aid, and registration via chatbots, and to automate back-office tasks like transcript review or scheduling. This frees staff to focus on complex, high-value interactions. The ROI is direct cost savings through reduced administrative workload and improved student service response times, enhancing operational capacity without adding FTEs.

Deployment Risks Specific to This Size Band

For a mid-sized public college, key risks include resource constraints: limited dedicated IT/Data Science staff may struggle with implementation and maintenance. Data integration is a hurdle, as student information often resides in siloed systems (SIS, LMS, CRM). Change management is critical; faculty and staff may be skeptical or lack training, risking low adoption. There are also ethical risks around algorithmic bias, which must be mitigated to ensure AI supports equity goals. Finally, vendor lock-in is a concern; relying on a single EdTech provider's AI tools may limit flexibility and increase long-term costs. A successful strategy involves starting with pilot projects tied to clear goals, seeking consortium-based purchasing power, and building internal AI literacy across departments.