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Search and composition of learning objects in a visual environment

  • Amel Bouzeghoub
  • , Marie Buffat
  • , Alda Lopes Gançarski
  • , Claire Lecocq
  • , Abir Benjemaa
  • , Mouna Selmi
  • , Katherine Maillet
  • CNRS UMR 5157 SAMOVAR

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a complete visual environment which supports the search and composition of learning objects (LOs). It focuses on the end user, learner or teacher. Learners search for LOs in order to learn a new concept or to follow a lesson. Teachers search for LOs for direct use during their lessons or in order to reuse and assemble them with others, thus creating their own, novel LO. Nevertheless, the inner complexity of an LO makes searching for and reusing composed LOs a complex task as well. The end user has to be assisted during this task. The core of our environment is built with a navigational and iterative query language, and a composition model. An iterative, navigational, query language is a complex language. The end user cannot express search queries directly in such a textual language. In the same way, the teacher cannot use a complex textual language to compose a new LO. Our environment is a suite of visual interfaces, supporting interaction with the end user while hiding the inner complexity of the system. Last, a validation module validates the consistency of a composed LO and provides for the dynamic annotation of metadata.

Original languageEnglish
Title of host publicationLearning in the Synergy of Multiple Disciplines - 4th European Conference on Technology Enhanced Learning, EC-TEL 2009, Proceedings
Pages763-768
Number of pages6
DOIs
Publication statusPublished - 27 Nov 2009
Event4th European Conference on Technology Enhanced Learning, EC-TEL 2009 - Nice, France
Duration: 29 Sept 20092 Oct 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5794 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th European Conference on Technology Enhanced Learning, EC-TEL 2009
Country/TerritoryFrance
CityNice
Period29/09/092/10/09

Keywords

  • Dynamic Annotation
  • Learning Object Composition
  • Visual Search

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