What Penn State Harrisburg IST Does

The Information Systems and Technology (IST) program at Penn State Harrisburg is a major academic department within a large public research university. It confers Bachelor of Science degrees in Information Sciences and Technology, with concentrations in areas like Security and Risk Analysis. The department educates thousands of students, employs numerous faculty and staff, and manages extensive teaching labs, research projects, and administrative functions. Its core mission is to deliver high-quality, accessible education and produce graduates equipped with the technical and analytical skills demanded by modern industry.

Why AI Matters at This Scale

As part of a university serving over 10,000 individuals, the IST department operates at an enterprise scale with commensurate complexity. Manual processes for student support, grading, and administration become bottlenecks, limiting personalization and strategic focus. AI presents a transformative lever to enhance educational delivery, improve institutional efficiency, and future-proof the curriculum itself. For a department teaching information sciences, failing to thoughtfully integrate AI tools and concepts risks obsolescence. Proactive adoption can create a competitive advantage in student recruitment, outcomes, and research stature.

Concrete AI Opportunities with ROI Framing

1. Personalized Learning at Scale (High ROI): Implementing adaptive learning platforms that use AI to tailor content and pacing can improve pass rates and depth of learning in core courses. The ROI is direct: higher student retention protects tuition revenue, while improved course outcomes boost department rankings and attractiveness.

2. Automated Administrative Workflows (Medium ROI): Deploying AI for initial screening of applicant materials, managing IT help desk queries, and optimizing class scheduling can free significant faculty and staff time. The ROI comes from labor cost avoidance and redirecting human expertise to high-touch activities like mentorship and complex problem-solving.

3. AI-Infused Curriculum & Research (Strategic ROI): Integrating AI tools (e.g., code copilots, data analysis assistants) directly into courses and faculty research lowers the barrier to cutting-edge work. The ROI is strategic, enhancing the value proposition for students and enabling more grant-worthy, interdisciplinary research projects that bring funding and prestige.

Deployment Risks Specific to Large Institutions

Deploying AI in a large public university context carries unique risks. Bureaucratic inertia can slow procurement and approval for novel solutions. Data silos and legacy systems across the broader university may hinder the integrated data access needed for effective AI. Change management across a vast, decentralized body of faculty, staff, and students requires extensive communication and training to drive adoption. Ethical and regulatory scrutiny is intense, with mandates like FERPA governing student data use; any misstep can lead to significant reputational and legal damage. Success depends on starting with pilot projects that demonstrate clear value, building cross-functional stakeholder coalitions, and prioritizing solutions with strong data governance and transparency features.