3 Questions on Utilizing AI for Online Course Redesign

3 Questions on Utilizing AI for Online Course Redesign

Inside Higher Ed – Learning Innovation (column)
Inside Higher Ed – Learning Innovation (column)May 12, 2026

Key Takeaways

  • AI scans 17 RN‑to‑BSN courses for alignment, accessibility, consistency.
  • iDesign’s Build platform generates draft content, reducing redesign time.
  • Faculty focus shifts from data gathering to strategic co‑creation.
  • Learning designers must become AI‑fluent strategists, not just producers.
  • AI accelerates scaling while preserving human judgment in pedagogy.

Pulse Analysis

Higher education is increasingly turning to artificial intelligence to solve the scalability problem of online program redesign. At the University of Central Florida, the AI‑driven Build platform from iDesign is being used to evaluate 17 courses in the RN‑to‑BSN pathway, a program that serves thousands of working nurses. By automatically checking alignment with accreditation standards, flagging accessibility gaps, and producing draft learning objectives, the system provides a data‑rich foundation that would otherwise require weeks of manual review. This approach reflects a broader trend where institutions leverage AI to meet the rapid‑pace demands of compressed course formats while maintaining rigorous quality controls.

The AI workflow fundamentally changes how learning designers and faculty interact. Instead of spending initial meetings gathering objectives and mapping assessments, designers arrive with AI‑generated diagnostics that highlight misalignments and suggest instructional strategies. This pre‑work enables deeper, more collaborative conversations focused on pedagogical nuance, contextual relevance for experienced nurses, and innovative assessment designs. For programs bound by strict competency frameworks, such as nursing, the ability to surface alignment gaps early reduces the risk of accreditation issues and improves learner outcomes.

Looking ahead, the UCF case signals a shift in professional skill sets for instructional technologists. The value proposition moves from checklist‑driven production to a strategic advisory role that blends AI fluency with relational intelligence. Practitioners are advised to adopt AI tools, sharpen consultative abilities, and align instructional decisions with institutional metrics. Those who can harness AI to accelerate routine tasks while delivering human‑centric expertise will become indispensable in the evolving landscape of online higher education.

3 Questions on Utilizing AI for Online Course Redesign

Comments

Want to join the conversation?