"This project grew out of a genuine programmatic need: The R.N.-to-B.S.N. program is moving to a compressed eight-week format to better serve working nurses, people who are balancing demanding clinical schedules with their education. Redesigning 17 courses simultaneously, with that learner population in mind, requires both speed and precision. That's exactly where iDesign's AI-powered Build platform becomes a real asset."
"What Build does particularly well is the work that benefits most from consistency and rigor at scale: ensuring tight alignment between standards and assessments and generating draft content that gives faculty and learning designers a strong starting point. For a nursing program, where accreditation standards and competency frameworks are nonnegotiable, having AI surface alignment gaps and produce aligned draft materials early in the process means we're not starting from a blank page and we're not leaving alignment to chance or memory."
UCF is experimenting with AI behind the scenes to review and improve its online courses. Working with iDesign, UCF is using an AI-powered Build platform to evaluate and update 17 courses in its RN-to-BSN program. The updates support a shift to a compressed eight-week format for working nurses who balance clinical schedules with education. The AI checks alignment between standards and assessments, identifies accessibility issues, and promotes design consistency. The platform also generates draft content that provides faculty and learning designers with a strong starting point. The approach supports accreditation requirements by surfacing alignment gaps early and reducing reliance on memory or starting from scratch.
Read at Inside Higher Ed | Higher Education News, Events and Jobs
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