RT Journal Article
T1 Generation of reusable learning objects from digital medical collections: An analysis based on the MASMDOA framework
A1 Buendía, Félix
A1 Gayoso Cabada, Joaquín
A1 Sierra Rodríguez, José Luis
AB 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 from a qualitative point of view the process of generating reusable learning objects (RLOs) 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 which 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 educational standard specifications, which improves their reusability features. The analysis insights highlight the importance of having a tool able 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.
SN 1460-4582
SN 1741-2811
YR 2021
FD 2021-01
LK https://hdl.handle.net/20.500.14352/116947
UL https://hdl.handle.net/20.500.14352/116947
LA eng
DS Docta Complutense
RD 6 abr 2025