Resource Architecture in the Virtual Digital Learning Landscape (RAVD)

Abstract

As technology becomes pervasive, the teaching and learning landscape is now capable of presenting an interoperable and seamless learning architecture to connect, integrate, and share learning resources. Although we have a plethora of learning resources, searching for specific content is not easy and takes time to view and identify the content being searched. As such a tagging metadata mechanism is envisaged that will facilitate for content search. The tagging of these learning objects will lead to an intelligent virtual content selection environment that will facilitate for any content to be searched based on each of the elements of learner, subject, pedagogy and technology via the Resource Architecture Metadata Input (RAMI). Ultimately, a content directory is envisaged to accentuate the digital learning landscape resulting in the Resource Architecture in the Virtual Design environment (RAVD). // Paper ID 554