Semantic overlays in educational content networks – the hylOs approach

2006 ◽  
Vol 23 (4) ◽  
pp. 254-267 ◽  
Author(s):  
Michael Engelhardt ◽  
Arne Hildebrand ◽  
Dagmar Lange ◽  
Thomas C. Schmidt

PurposeThe paper, aims to introduce an educational content management system Hypermedia Learning Objects System (hylOs), which is fully compliant to the IEEE LOM eLearning object metadata standard. Enabled through an advanced authoring toolset, hylOs allows the definition of instructional overlays of a given eLearning object mesh.Design/methodology/approachIn educational content management, simple file distribution is considered insufficient. Instead, IEEE LOM standardised eLearning objects have been well established as the basic building blocks for educational online content. They are nicely suited for self‐explorative learning approaches within adaptive hypermedia applications. Even though eLearning objects typically reside within content repositories, they may propagate metadata relations beyond repository limits. Given the explicit meaning of these interobject references, a semantic net of content strings can be knotted, overlaying the repository infrastructure.FindingsBased on a newly introduced ontological evaluation layer, meaningful overlay relations between knowledge objects are shown to derive autonomously. A technology framework to extend the resulting semantic nets beyond repository limits is also presented.Research limitations/implicationsThis paper provides proof of concept for the derivation and use of semantic content networks in educational hypermedia. It thereby opens up new directions for future eLearning technologies and pedagogical adoption.Practical implicationsThe paper illustrates capabilities of the hylOs eLearning content management. The hylOs is built upon the more general Media Information Repository (MIR) and the MIR Adaptive Context Linking Environment (MIRaCLE): its linking extension. MIR is an open system supporting the standard XML, CORBA and JNDI. hylOs benefits from manageable information structures, sophisticated access logic and high‐level authoring tools like the eLO editor responsible for the semi‐manual creation of meta data and WYSIWYG like XML–content editing, allowing for rapid distributed content development.Originality/valueOver the last few years, networking technologies and distributed information systems have moved up the OSI layer and are established well within application‐centric middleware. Most recently, content overlay networks have matured, incorporating the semantics of data files into their self‐organisational structure with the aim of optimising data‐centric distributed indexing and retrieval. This paper elaborates a corresponding concept of semantic structuring for educational content objects. It introduces and analyses the autonomous generation and educational exploitation of semantic content nets, providing proof of concept by a full‐featured implementation within the hylOs educational content management system.

World Science ◽  
2018 ◽  
Vol 1 (7(35)) ◽  
pp. 38-44
Author(s):  
Титова Н. М.

The article presents the experience of using Moodle's (http://www.moodle.npu.edu.ua/) educational content management system at the Dragomanov National Pedagogical University with the aim of introducing participatory teaching methods. The relevance and expediency of using Moodle's educational content management system in psychological and pedagogical preparation of future specialists of educational degree «Bachelor» of the field of knowledge 01 Education / Pedagogy of the specialty 015 Vocational education (on specialties: food technologies, technologies of light industry products, computer technologies, woodworking, design, hotel-restaurant right). The results of approbation of the developed educational content on the discipline «Methodology of professional training» allowed to conclude that the formation of an informational culture of future pedagogical staff in the field of vocational education. The presented results of practical experience in providing partisipatiy in psychological and pedagogical preparation of bachelors of professional education do not exhaust the full completeness of this study.


Author(s):  
Salvatore Valenti ◽  
Carla Falsetti ◽  
Sulmana Ramazzotti ◽  
Tommaso Leo

This paper is aimed to re-discuss the organization of Learning Objects in the realm of current research on metacognition. After a discussion on the structure of Learning Objects in the light of current standardization initiatives, a new model is proposed that explicitly introduces the representation of the Learning Design, expressed in terms of Metacognitive Framework and of Navigational Aids. Then, an example of the proposed structure put in practice is discussed, by showing the metacognitive framework for a Learning Object devoted to the fan-plate system (a basic experiment in a course on Automatic Controls). In the last section, a Learning Content Management System currently under development, which natively implements our model of Learning Object, is presented.


Ergodesign ◽  
2019 ◽  
Vol 2019 (2) ◽  
pp. 19-25 ◽  
Author(s):  
Андрей Азарченков ◽  
Andrey Azarchenkov ◽  
Алла Козленкова ◽  
Alla Kozlenkova

Brief information about the educational content management system LCMS Moodle is given. The approach to account administration is shown, the structure of a typical training course that meets the requirements of regulatory documentation is given.


10.28945/2911 ◽  
2005 ◽  
Author(s):  
Nizam Omar ◽  
Pollyana Notargiacomo Mustaro ◽  
Ismar Frango Silveira ◽  
Daniel Arndt Alves

Learning objects are constructed and used by a community during an undefined period of time and formatted as digital entities on diverse document types to be used, reused or referenced during a technology-mediated learning process. A Learning Content Management System (LCMS) is needed to their storage and retrieval. Electronic document management, data warehouse and data mining techniques will be presented. Effective management of a really big repository of Learning Objects by a community on a large network needs a system that facilitates the right access to the right document by its content and not only by title, author or other usual indexing fields. Learning Objects must be found by their full content and indexed and customized according to each user or user groups’ necessities. The main indexing and retrieving techniques will be discussed and a solution will be presented. Different learning objects can be stored on a common repository and duplication must be avoided. To fulfill this requirement the system needs to implement smart strategies that can be constructed based on AI techniques. Considering the diversity of users, machines and operating systems, the LCMS must be platform independent and manage portable resources, thus giving access to any user from any machine. LCMS must be scalable enough in order to avoid abrupt changes from small applications to big ones, without losing performance. A multiplatform distributed LCMS architecture is presented, and it is composed by: Interface server, data server, parser server, index server and repository server. These servers can run on a single machine or on a cluster of machines according to the needs of the application.


Author(s):  
Donato Cappetta ◽  
Salvatore D'Elena ◽  
Vincenzo Moscato ◽  
Vincenzo Orabona ◽  
Raffaele Palmieri ◽  
...  

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