How ECPI University Frames Higher Education’s Role in Closing the Workforce Gap

Employers in healthcare, technology, and the skilled trades report persistent hiring difficulty even though many adults are available and capable. Sam Dreyfus of ECPI University frames that mismatch as a design problem: higher education still largely assumes a residential, full-time, 18-to-22-year-old student. Today's learners are more often working, parenting, or changing careers later in life. Treating those learners as exceptions creates barriers between them and the jobs employers need filled.

Dreyfus says, "AI is raising the price of entry into the workforce, and education's job is to lower it." As automation takes over routine tasks, employers increasingly value communication, judgment, and the ability to use AI tools intelligently. That raises baseline expectations for new hires. Education systems that ignore this shift risk producing graduates who can't meet employers' blended technical-and-judgment demands.

How ECPI designs programs for today's workforce

ECPI aligns two realities: who the students are and what employers want. Key elements of their approach include:

• Employer-aligned curriculum: Programs are continuously adapted to reflect what hiring managers need. Students practice the actual kinds of tasks they will face on the job.
• Pace and structure: Programs move quickly so working adults make steady progress without long pauses that cost time and money.
• Cohort model: Students progress together in steady groups to build collaboration skills employers expect in team-based work.
• Simulation-based training: Particularly in healthcare, simulation recreates team-based care so students practice communication, coordination, and clinical tasks in realistic settings.

ECPI embeds AI across coursework with a clear framework rather than leaving faculty to decide course-by-course. Students use AI tools in real assignments and learn to evaluate the outputs critically. One concrete method is conversational assignments where students interact with an AI tutor and receive immediate feedback while learning the material. The goal is functional AI literacy: using tools while building the judgment needed to validate results.

Communication, teamwork, and judgment are taught as central job skills, not add-ons. Simulation and cohort experiences replicate workplace collaboration and provide repeated practice in real-time decision-making and interpersonal communication.

Implications for other institutions