Formalizing for querying learning objects using OWL

Bennacer, Nacéra; Bourda, Yolaine; Doan, Bich-Liên

doi:10.1109/icalt.2004.1357428

Cited by 11 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is a new challenge that is presently arousing keen interest in some research contexts, inspiring the works by [KarO4,RasO4,RonO4], for instance, to cite just a few. However, most studies are still centred on the definition of domain models using ontologies that can enable more accurate selection and search for teaching materials [BouO4,SriO4] or improve the description of the metadata, so as to define the relations among the various concepts more accurately [BenO4,SanO4].…”

Section: Learning Design In Distance Educationmentioning

confidence: 99%

Describing learning scenarios to share teaching experiences

Roselli

Rossano

2006

2006 7th International Conference on Information Technology Based Higher Education and Training

View full text Add to dashboard Cite

Finding high-quality educational resources on the Web is a demanding work both for the teachers and for the students. The difficulty stems from the big quantity of didactic resources available in the net, the slight offered functionality of search engines and the lack of good metadata attached to the resources. For these reasons, the attention of the research community is currently focused on improving pedagogical information in the description of Learning Objects, to make them suitable for use in Distance Learning. In order to do this, however, it is necessary to decide how important it is from the informatics standpoint to take into account pedagogical information and, above all, what information needs to be included in order to be able to improve the degree of reusability of LO. On the basis of these premises, it seems to us justifiable to claim that in order to guarantee a high degree of reusability of teaching resources and an adequate level of personalization of learning paths, it is essential to identify all the variables and all the factors that take place in a learning process. This will make it possible to define what other pedagogical information needs to be included. These reflections have led us to create a repository collecting teachers' experiences, and providing them with information on the learning scenarios most suited to reuse of a given teaching resource. For this purpose, a set of specifications (named EXM -experiences metadata) has been drawn up, that guides the teacher's formulation of a description of all the variables and other factors serving to describe a learning/teaching. Adequate description of the teaching resources, therefore, will not only facilitate teachers' retrieval of the desired content but also, and above all, their redesign of learning/teaching contexts, which can thus improve the supply of distance learning content

show abstract

Section: Learning Design In Distance Educationmentioning

confidence: 99%

Describing learning scenarios to share teaching experiences

Roselli

Rossano

2006

2006 7th International Conference on Information Technology Based Higher Education and Training

View full text Add to dashboard Cite

show abstract

“…The semantic-based annotation of educational resources is hence fully in the stream of the Semantic Web initiative [63], and it can share with it both techniques and approaches [64,65,61].…”

Section: Related Workmentioning

confidence: 99%

Automating competence management through non-standard reasoning

Colucci

Tinelli

Sciascio

et al. 2011

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Competence Management calls for automated knowledge-based services in order to take full advantage from the know-how of a company. This paper presents an integrated semantic-based knowledge management system providing decision support services for several activities typical of competence management, including Core Competence evaluation, human resources allocation, training programs planning. Knowledge resources are represented according to the formalism of Description Logics, which also allows for inference services crucial for the implemented solutions. We present the various features of our approach, which exploit advanced non-standard reasoning services from Description Logics, specifically developed to support knowledge management.

show abstract

“…Moreover, to be able to use a given teaching content it must be possible to find and retrieve it, using more targeted and sophisticated search methods than those we are currently used to dealing with on the web. For these reasons search and retrieval functions have become key elements in elearning environments and in the e-learning research field [1,3,4].…”

Section: Introductionmentioning

confidence: 99%

A taxonomy for cataloging LOs using IEEE educational metadata

Bitonto

Plantamura

Roselli

et al. 2007

Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)

View full text Add to dashboard Cite

Students' and teachers' expectations about teaching and learning have undergone a complete change lately thanks to the increasing use of information technologies. New tools are now emerging, named learning object repositories, that aim to make learning resources readily accessible to educators and learners. A learning object repository (LOR) is an electronic/digital catalog that contains digital learning content and simplifies the search for LOs by using common semantic metadata. The main problem in LOR design is to define an effective method for cataloging LO users, in order to make tailored searches conforming to users' learning or teaching needs. This paper aims to discuss this issue and propose a taxonomy for cataloguing LOs using the educational section of IEEE LOM. Finally, we have applied our taxonomy to classify LOs in the automotive field

show abstract

Formalizing for querying learning objects using OWL

Cited by 11 publications

References 6 publications

Describing learning scenarios to share teaching experiences

Describing learning scenarios to share teaching experiences

Automating competence management through non-standard reasoning

A taxonomy for cataloging LOs using IEEE educational metadata

Contact Info

Product

Resources

About