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Searching for and positioning of contextualized learning objects
Navarro, Silvia Baldiris · Graf, Sabine · Fabregat, Ramon · Méndez, Nestor Duque

PublishedDecember 2012
JournalThe International Review of Research in Open and Distributed Learning
Volume 13, Issue 5, Pages 76-101
Original PublicationThe International Review of Research in Open and Distance Learning
EditorsMcGreal, Rory and Conrad, Dianne

Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy. The main reason is the possibility of providing the right content, at the right time, to the right learner according to adequate quality standards in the context of a lifelong learning process; in fact, this is also the main objective of education. However, some barriers to the development of a LO economy, such as the granularity and editability of LO, must be overcome. Furthermore, some enablers, such as learning design generation and standards usage, must be promoted in order to enhance LO economy. For this article, we introduced the integration of distributed learning object repositories (DLOR) as sources of LO that could be placed in adaptive learning designs to assist teachers’ design work. Two main issues presented as a result: how to access distributed LO, and where to place the LO in the learning design. To address these issues, we introduced two processes: LORSE, a distributed LO searching process, and LOOK, a micro context-based positioning process, respectively. Using these processes, the teachers were able to reuse LO from different sources to semi-automatically generate an adaptive learning design without leaving their virtual environment. A layered evaluation yielded good results for the process of placing learning objects from controlled learning object repositories into a learning design, and permitting educators to define different open issues that must be covered when they use uncontrolled learning object repositories for this purpose. We verified the satisfaction users had with our solution.

Keywords e-learning · learning design · learning objects economy · micro-context · similarity measures · word sense disambiguation

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