Higher education institutions face mounting pressure to prove that every piece of instructional content precisely aligns with accreditation standards and curriculum objectives. Yet today, this process is entirely manual: faculty and staff spend enormous amounts of time combining through lecture transcripts, syllabi, and course recordings. The volume is overwhelming, the inconsistencies are inevitable, and the institutional cost is immense.
This AI-powered platform streamlines curriculum mapping by turning a time-consuming manual process into an efficient, automated workflow. It connects directly with existing learning systems to gather course materials and lecture content, then uses AI to identify learning objectives and align them across multiple levels of the curriculum.
The system produces clear, prioritized mappings with helpful explanations, justifications and rankings, making it easy to understand how course content fits within the broader curriculum objectives. Administrators remain in full control through a simple review and approval interface, ensuring all results are validated.
Designed for scalability, the platform can handle large volumes of data quickly and reliably, making it suitable for institution-wide use across a wide range of programs and disciplines.
Review page, where administrators will approve/reject AI generated mappings.
Comparison page, showing which AI generated mappings matched human-made mappings of the previous academic year.
AI mapping processor selection page.