mapEDU - AI-powered exam tagging, curriculum mapping & reporting for healthcare education

mapEDU AI-powered exam tagging, curriculum mapping & reporting for healthcare education

Contact for Pricing

#curriculum mapping
#healthcare education
#MeSH terminology
#exam tagging
#educational analytics
#content analysis

What is mapEDU?

mapEDU is an innovative AI-powered platform designed specifically for healthcare professions schools to streamline their curriculum management and assessment processes. The system automatically processes digital content, including audio and video files, to extract relevant MeSH (Medical Subject Headings) tags and map educational outcomes.

The platform eliminates the need for time-consuming faculty surveys and manual exam-tagging by implementing advanced AI technology that analyzes existing digital content and automatically generates comprehensive reports. It comes preloaded with national outcomes for curriculum coverage analysis and allows institutions to upload their own internal outcomes for customized mapping.

Features

Automated Content Analysis: Processes text, audio, and video files to extract relevant MeSH terms
Curriculum Mapping: Groups content into customizable sets for comprehensive analysis
Exam Question Tagging: Automatically categorizes exam questions using MeSH terminology
Outcome Analysis: Preloaded national outcomes with custom outcome upload capability
Report Generation: Produces detailed coverage analysis and curriculum mapping reports

Use Cases

Curriculum reform and validation
Course content analysis
Exam question categorization
Educational outcome tracking
Accreditation preparation
Program assessment
Curriculum coverage analysis

FAQs

How does mapEDU handle different types of content?

mapEDU can process various types of digital content including text, audio, and video files, extracting relevant MeSH terms from each format.
Can institutions use their own outcomes for mapping?

Yes, while mapEDU comes preloaded with national outcomes, institutions can easily upload their own internal outcomes for custom mapping.