The Practice Academics Already Trust: How Peer Review Helps Universities Navigate AI and Promote Career Readiness

How modern peer learning software solves a new problem with tried and true methods

Higher education leaders are facing two pressures at once. Generative AI can now produce the essays, problem sets, and projects institutions have long relied on to measure learning. At the same time, new federal and state accountability rules require institutions to show that their programs prepare students for work.

The answer may already be familiar. Peer review is how scholars test ideas, build judgment, and hold work to a standard. In this session, we’ll look at the research on structured peer assessment and how institutions are using it to make learning visible in ways AI can’t easily fake, build the skills employers say are missing, and generate evidence of career readiness. With modern peer learning software, institutions can do all of this without adding to faculty workloads.

Key takeaways

• Keeping learning human in the age of AIHow structured peer review builds the judgment, communication, and feedback skills that AI can’t do for students and that employers say graduates lack.
• Evidence of career readinessHow modern peer learning platforms generate ongoing, skills-level data that institutions can map to learning outcomes and competency frameworks to show career readiness to accreditors, boards, and state systems.
• Scaling peer learning across the curriculumHow to bring peer learning to everything from first-year seminars to large lecture courses, at a fraction of the cost of new hires, small-section expansion, or other major initiatives.