Search

Many authors believe that in order to achieve coherence and flexibility at the same time in multimedia-based learning units, it is highly recommendable to structure the different components as a graph. In a lesson graph, educational resources are encapsulated into learning objects (LO) along with their respective metadata and are interconnected through different kind of rhetorical and semantical relationships. The LOs of these graphs are stored within repositories, where their metadata are used to ease their retrieval. In this paper we propose to integrate the processes of searching LOs and editing the lesson graph. This new framework extends traditional keyword and metadata search to take advantage of the information stored implicitly in the lesson graph structure, making LOs retrieval more effective and the expression of queries more intuitive. The retrieval of the learning material consists of two processes: (1) The user first defines the topological location of a required piece of educational material within the lesson graph, this is, its relationships with other pieces. (2) Then, the user issues a traditional keyword query, which is processed by an IR system modified to take the graph structure into account. Experiments show the advantages of this approach. [ABSTRACT FROM AUTHOR]

Learning Object Metadata (LOM) is an interoperable standard aimed to foster the reuse of learning material for authoring lessons. Nevertheless, few work was done on taking advantage of LOM-semantics to facilitate retrieval of learning material. This article suggests an original approach which uses the structure of a lesson in order to automatically generate LOM-semantic-based queries for retrieving learning material for that lesson whereas the user continues to formulate easy-to-write queries without semantic specifications. This proposal consists of a four-component framework attempting to consider the main issues of semantic-based retrieval of documents. [ABSTRACT FROM AUTHOR]