FROST manages your digital content infrastructure from end-to-end by combining a learning object repository, deep content analytics, and a managed course and interactive eBook development workflow into a single platform. Leveraging FROST’s digital content management technology will accelerate your digital transformation journey to support personalized, adaptive, modular, and competency-based learning models.
Learning Object Repository (LOR): Manage your content across all of your delivery channels - all in one place.
FROST’s LOR allows you to easily break down content into small learning objects, while tagging with rich metadata and aligning to taxonomies. The result? An efficient, seamless way to search and add your digital content to new or existing learning objects across numerous delivery channels, including LMSs, mobile apps, ebooks, and more.
“FROST, as the backbone of our authoring and management process, has enabled us to quickly transition and strengthen our workflow to support next generation learning by leveraging our existing content.” - Ken Brooks
Design Courses: Assemble and author course collections through an efficient project workflow.
FROST gives you a set of tools to effectively curate, assemble, and create content with your team. Align your content to metadata taxonomies to efficiently search and browse all of your modular learning objects, or quickly import files and publish to industry standard or custom formats in a matter of seconds.Take control of your versions in one place and manage permissions across multiple stakeholders.
How are students interacting with your content? Are they actually learning with the material? What delivery method works best? In short, is your content effective?
With FROST, you can track and gather insights on content usage. Using real-time content analytics, you will know exactly how students are interacting with your learning materials. Make data-driven decisions on the use of learning materials and efficacy of learning experiences.
Align your content to learning standards, competencies, and taxonomies to enable multiple, varied learning models.