The Impact of Next Generation Learning Object Repositories (LORs) on Healthcare

May 16, 2016 10:55 AM – 12:25 PM

Michael Lougee, PhD, Mark Hilliard, MS, Brian Dunnette, Colin McFadden, MS
University of Minnesota

The University of Minnesota Medical School has used Learning Object Repositories (LORs) for many years.  It is currently developing a new open-source LOR storage/metadata tool called Elevator (www.elevatorapp.net). Elevator utilizes scalable cloud storage and processing from Amazon Web Services (AWS), providing flexible metadata entry via user created, extensible schemas. It offers new “plug-in-free” viewing for advanced file types such as DICOM radiology/pathology materials and 3D files via HTML5 browsers. Elevator’s open metadata functionalities allow faculty/students to create/adapt rich metadata relationships between learning objects (ANSI/MEDBIQ LO.10.1-2008 Specs) and healthcare competencies (ANSI/MEDBIQ CF.10.1-2012).

Elevator dramatically improves pedagogy/instructional content delivery and organization. It simplifies deployment of new electronic data file like DICOM and 3D files, enabling educators to create interactive instruction.  Additionally, LOR file content is deployable, via simple URL links, to LMS systems. Scalability via AWS reduces need for expensive university network resources. Browser-based access also facilitates educational research via web-analytics.

Elevator is in active use and development at the U. of MN, which is working on importing large >300,000 multi-media asset collections across multiple disciplines into Elevator to demonstrate scalability. It allows strategies of multi-institution asset sharing, preserving  institution-specific metadata strategies, with potential cost sharing.