MACE – Enriching Architectural Learning Objects for Experience Multiplication

Stefaner, Moritz; Vecchia, Elisa Dalla; Condotta, Massimiliano; Wolpers, Martin; Specht, Marcus; Apelt, Stefan; Duval, Erik

doi:10.1007/978-3-540-75195-3_23

Cited by 40 publications

(19 citation statements)

References 4 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relation metadata is not frequently complete in the consulted repositories, even this condition; we present in decrease order the most frequent relationships found during the experiment in percentage: Base (32), Part (27), Version (17), Reference (16), Format (7) and Require (1). This means, when teachers create new simples object or complex object, they are basing their educational material from other objects.…”

Section: Results Analysismentioning

confidence: 99%

See 1 more Smart Citation

A New Merging Algorithm Based on Semantic Relationships of Learning Objects

Rivas-Sanchez¹,

Guerrero²,

Domínguez³

2013

Nexo Revista Científica

View full text Add to dashboard Cite

RESUMENLos Objetos de Aprendizajes son elementos muy importantes dentro de entornos de aprendizajes "e-learning" o bien cuando se utilizan recursos digitales para la educación porque describen el material educativo para los estudiantes, estos permiten la reutilización y la posibilidad de compartirse en diferentes sistemas de gestión del aprendizaje. Habitualmente cuando los docentes necesitan crear y estructurar experiencias educativas, ellos acuden a repositorios para recuperar recursos ajustados a sus intereses particulares para reducir el esfuerzo y el tiempo invertido en su elaboración. En este artículo, es presentado un método para la fusión o mezcla de Objetos de Aprendizajes recuperados desde repositorios heterogéneos; El modelo está basado en las relaciones semánticas que guardan los Objetos de Aprendizajes entre ellos los cuales son recuperados a través de un Meta-Buscador, como una alternativa para la localización o búsqueda efectiva de recursos educativos ajustados a los intereses de los docentes. El modelo expuesto en la propuesta ha sido implementado como prototipo inicial el cual recuperar Objetos de Aprendizajes de repositorios abiertos. Los resultados iniciales del estudio confirman la utilidad y efectividad del modelo.Palabras Clave: Objetos de Aprendizajes; Algoritmo de Mezcla; Meta-Búsqueda; Relaciones Semánticas. ABSTRACTLearning Objects are key elements within e-Learning environment because describe the created educational material for students, besides, it permits the reusing and sharing in di_erent Learning Management Systems. Usually, when teachers need to create and structure educational experiences, they attend to repositories for retrieving resources fitted to their interest, for reducing the e_ort and the computational time. In this paper, a proposal is presented for merging Learning Objects from heterogeneous repositories; the model is based on semantic relationships between Learning Objects retrieved from a meta-search engine, as an alternative for locating fitted educational resources for teacher's interest. The model exposed in the proposal has been implemented as initial prototype, which retrieves Learning Objects from open repositories. An initial study results confirm the usefulness of the model.

show abstract

Section: Results Analysismentioning

confidence: 99%

“…The system considers each retrieved list as an object's vector and merges all vectors into a matrix composed by lists and objects. At this moment the implemented prototype architecture retrieved Learning Objects from ARIADNE [14], AGORA [26], MACE [27] and MERLOT [28] repositories as first approach.…”

Section: Search In Repositories Modulementioning

confidence: 99%

A New Merging Algorithm Based on Semantic Relationships of Learning Objects

Rivas-Sanchez¹,

Guerrero²,

Domínguez³

2013

Nexo Revista Científica

View full text Add to dashboard Cite

show abstract

“…Its aim is to establish the integrated access to repositories www.intechopen.com containing any data concerning architecture domain, which were the results of other EU research projects such as: DYNAMO, INCOM and WINDS. Actually, MACE project doesn't target to a network of distributed repositories, but to create a single coherent virtual repository of data (Prause et al, 2007;Stefaner et al, 2007). This approach is similar to the one presented in section 3.…”

Section: Learning Objects In the Federation Of Repositoriesmentioning

confidence: 86%

The Use of Multi-Agents' Systems in e-Learning Platforms

Orzechowski

2007

2007 Siberian Conference on Control and Communications

View full text Add to dashboard Cite

“…MACE project (Stefaner et al, 2007) is a European project related with the search of digital resources associated with architecture. The results of the field search suggest that principles of navigation with multiple facets facilitates immersion processes of search through collaborative tagging (Stefaner et al, 2009).…”

Section: Related Researchmentioning

confidence: 99%

Visualization of information: a proposal to improve the search and access to digital resources in repositories

García¹,

Sánchez‐Alonso²,

Marín³

2014

ing.inv.

View full text Add to dashboard Cite

Presently, the most notable challenges associated with repositories in resolving problems of searches of digital resources, lie in providing an understanding of resource classification according to a knowledge representation scheme and the relationship between them. However, one of the areas with very little research in the field is the study of visual search interfaces that provide access to relevant materials in digital repositories; more specifically, in the access of digital resources according to areas and sub-areas of a particular knowledge domain through a taxonomy classification. In this article, we focus in proposing a best practice for the search and access to relevant digital resources in repositories through visualization techniques. The article presents a prototype tool as one possible approach to facilitate searches and access to digital resources. Finally, we present the conclusions and future work in the field in order to improve access to relevant materials in digital repositories.Keywords: Visualization techniques, data visualization, user interfaces, repositories, digital resources. RESUMENEn la actualidad, los desafíos más notables asociados a los repositorios para resolver los problemas en la búsqueda de los recursos digitales, se enfocan en ofrecer un mayor entendimiento de la clasificación de los recursos digitales, de acuerdo a un esquema de representación de conocimiento y relación entre ellos. Sin embargo, una de las áreas con pocos estudios en este campo, es el estudio de interfaces visuales que proporcionen acceso a los materiales relevantes en repositorios digitales. Es necesario prestar mayor atención al acceso de los recursos digitales, teniendo en cuenta un conjunto de áreas y sub áreas de dominio del conocimiento especí-fico, a través de una clasificación taxonómica. En este artículo, nos enfocamos en plantear una propuesta de mejores prácticas para la búsqueda y acceso a recursos relevantes en repositorios digitales, a partir de técnicas de visualización. El artículo presenta un prototipo de herramienta como un posible enfoque para facilitar el acceso a los recursos digitales. Finalmente, se presentan las conclusiones y el trabajo futuro en el campo, con el fin de mejorar el acceso a materiales relevantes en repositorios digitales.Palabras clave: Técnicas de visualización, visualización de datos, interfaces de usuarios, repositorios y recursos digitales.

show abstract

MACE – Enriching Architectural Learning Objects for Experience Multiplication

Cited by 40 publications

References 4 publications

A New Merging Algorithm Based on Semantic Relationships of Learning Objects

A New Merging Algorithm Based on Semantic Relationships of Learning Objects

The Use of Multi-Agents' Systems in e-Learning Platforms

Visualization of information: a proposal to improve the search and access to digital resources in repositories

Contact Info

Product

Resources

About