Generation of reusable learning objects from digital medical collections: An analysis based on the MASMDOA framework

Abstract

Learning Objects represent a widespread approach to structuring instructional materials in a large variety of educational contexts. The main aim of this work consists of analyzing the process of generating reusable learning objects followed by Clavy, a tool that can be used to retrieve data from multiple medical knowledge sources and reconfigure such sources in diverse multimedia-based structures and organizations. From these organizations, Clavy is able to generate learning objects that can be adapted to various instructional healthcare scenarios with several types of user profiles and distinct learning requirements. Moreover, Clavy provides the capability of exporting these learning objects through standard educational specifications, which improves their reusability features. The analysis proposed is conducted following criteria defined by the MASMDOA framework for comparing and selecting learning object generation methodologies. The analysis insights highlight the importance of having a tool to transfer knowledge from the available digital medical collections to learning objects that can be easily accessed by medical students and healthcare practitioners through the most popular e-learning platforms.

Repurposing lectures and reviews into educational blogs

“…A proposed strategy to create LOs in an efficient manner, is to follow the concept of a supply chain, from planning to deployment, with the possibility of repurposing the material for a variety of educational contexts, using tools with the potential to export to diverse media. 5 The transformation of a lecture or a literature review to a digital format, constitutes a re-design where the material evolves to produce additional educational objects. The New Media Consortium has created specific guidelines for the creation of learning objects.…”