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Erschienen in:
Challenges for Semantically Driven Collaborative Spaces Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Semantic MediaWiki-Based Approach for the Collaborative Development of Pedagogically Meaningful Learning Content Annotations

verfasst von : Stefan Zander, Christian Swertz, Elena Verdú, María Jesús Verdú Pérez, Peter Henning

Erschienen in: Semantic Web Collaborative Spaces

Verlag: Springer International Publishing

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Abstract

In this work, we present an approach that allows educational resources to be collaboratively authored and annotated with well-defined pedagogical semantics using Semantic MediaWiki as collaborative knowledge engineering tool. The approach allows for the exposition of pedagogically annotated learning content as Linked Open Data to enable its reuse across e-learning platforms and its adaptability in different educational contexts. We employ Web Didactics as knowledge organization concept and detail its manifestation in a Semantic MediaWiki system using import and mapping declarations. We also show how the inherent pedagogical semantics of Web Didactics can be retained when learning material is exported as RDF data. The advantage of the presented approach lies in addressing the constructivist view on educational models: The different roles involved in the content development process are not forced to adapt to new vocabularies but can continue using the terms and classification systems they are familiar with. Results of the usability test with computer scientists and education researchers are positive with significantly more positive results for computer scientists.

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Vorheriges Kapitel From Ontology to Semantic Wiki – Designing Annotation and Browse Interfaces for Given Ontologies
Nächstes Kapitel Discovering Wikipedia Conventions Using DBpedia Properties
Fußnoten
3
The pedagogical ontology developed within the INTUITEL project is available at http://​www.​intuitel.​de/​public/​intui_​PO.​owl.
 
7
Naturally, this varies from element to element, but can be taken as a guide value for the creation of courses. Especially in context of different content types (e.g. tests, assignments, definitions, etc.) and media types (e.g. video, text, etc.), this is actually expected to vary.
 
8
For a detailed introduction to Semantic MediaWiki and the unique benefits it adds to MediaWiki, we refer the reader to the official Semantic MediaWiki manual [22] or the related literature (e.g. [23, 24].
 
14
The PO allows for the description of domain knowledge in a way so that an INTUTEL-enabled system is able to process such data and provide sophisticated services in the form of individual recommendations; Semantic MediaWiki, in contrast, does not exhibit any predefined or default schema nor impose any restrictions on the definition of individual schema information—apart from those imposed by the underlying data model.
 
15
For readability reasons, we sorted the elements alphabetically and separated category and page import declarations; we also included both element types (PO and SLOM) is this excerpt although we advocate to separate PO and SLOM elements for maintenance reasons.
 
19
Access to the Semantic MediaWiki system in which the course is modeled can be granted on request; please contact zander@fzi.de.
 
21
One possibility to overcome this limitation is integrating DL reasoning capabilities via a Semantic MediaWiki Extension.
 
23
While this aspect has no direct influence on the authoring process and its usability, which was studied in the evaluation, it might impede market penetration of the presented approach specifically and SWMs in generally.
 
24
The same applies for knowledge types.
 
25
The Ontology Import Tool will be released as open source and can be downloaded from the official INTUITEL project Web site as well as from the Open Source section of the FZI Research Center for Information Technology Web site https://​www.​fzi.​de/​forschung/​open-source/​.
 
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Metadaten
Titel
A Semantic MediaWiki-Based Approach for the Collaborative Development of Pedagogically Meaningful Learning Content Annotations
verfasst von
Stefan Zander
Christian Swertz
Elena Verdú
María Jesús Verdú Pérez
Peter Henning
Copyright-Jahr
2016
Buch
Semantic Web Collaborative Spaces

Print ISBN: 978-3-319-32666-5

Electronic ISBN: 978-3-319-32667-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-32667-2_5

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