scispace - formally typeset
Open AccessJournal Article

Characterization of Educational Resources in e-Learning Systems Using an Educational Metadata Profile

Georgia D. Solomou, +2 more
- 01 Oct 2015 - 
- Vol. 18, Iss: 4, pp 246-260
TLDR
This work proposes an application profile of the IEEE LOM standard with special focus on the field of distance learning, and presents the proposed Educational Metadata Profile (EMP), in which its ontological binding is given in the subsequent section (The EMP ontology), and an evaluation of this ontology model is presented.
Abstract
Introduction Metadata are "machine-readable information about electronic resources or other things" (Berners-Lee, 1997) and are used to describe the features of a resource, thus making easier its management and retrieval. A set of metadata elements combined so as to serve a specific purpose, constitute a metadata schema. Although the adoption of a single metadata standard would assure reusability of resources and interoperability among applications, there exists no metadata schema yet, appropriate to fulfil the requirements and needs of every application. Some schemas focus on technical metadata, other on educational metadata while some other on more specialized elements. When existing approaches are not sufficient enough to cover the special requirements of an institution or organization, the use of application profiles is suggested. According to Heery & Patel (2000), an application profile is an aggregation of metadata elements selected from one or more different schemas and combined into a new compound schema. Particularly, in the case of educational recourses, the set of metadata used to describe their characteristics, should be able to capture their educational and pedagogical aspects. Therefore, apart from author, title or type--fields that are common in all metadata schemas--an educational metadata schema should also include information regarding the resource's particular learning type, its intended end users, the instructional context and many more. A kind of educational resource that is increasingly used by Educational Institutions in recent years is the Learning Object (LO). According to Nikolopoulos, Solomou, Pierrakeas & Kameas (2012) LOs are pieces of educational material that directly correlate the knowledge they convey with specific objectives (learning outcomes) of the learning process. But although LOs constitute a common trend in organizing educational material and have been utilized by many modern e-learning systems (Schreurs & Al-Zoubi, 2007), they cannot be used effectively because there exists no metadata schema capable of capturing all of their characteristics. This insufficiency becomes even greater in the case of LOs that are designed for use in the context of distance learning courses, where the proper handling and dissemination of LOs is crucial for the success of the learning process, because in most cases, contrary to what happens in a classroom, no human tutor would be continuously available to monitor students' path or progress through the educational process. Hellenic Open University (HOU) is a Higher Education Institute specialized in distance and lifelong learning that the last two years seeks to re-organize its material and to provide its students with advanced services for delivering knowledge. Such services require the consumption of adequately characterized LOs, using a metadata schema that is capable of capturing as many as possible of their pedagogical aspects and especially those considered to be important according to distance learning principles. To the best of our knowledge, no such a schema or application profile exists, able to satisfy these requirements. Consequently, through this work we propose an application profile of the IEEE LOM standard with special focus on the field of distance learning. After reviewing existing approaches for describing educational resources, as well as several binding methods (section Background), we move on to the presentation of our proposed Educational Metadata Profile (EMP), in section EMP: New Elements and Modifications. Its ontological binding is given in the subsequent section (The EMP ontology), whereas section Evaluation of the EMP ontology presents an evaluation of this ontology model, through its application for characterizing real LO instances. Conclusions follow, in our last section. Background In literature, several metadata standards and profiles have been proposed, each serving different purposes and needs. …

read more

Citations
More filters
Journal ArticleDOI

Learning Management System-Based Evaluation to Determine Academic Efficiency Performance

TL;DR: A model for which architecture design, configuration, metadata, and statistical coefficients were obtained using four Learning Management Systems (LMSs) had the highest level of performance, with an average of 73% when evaluated using statistical coefficients.
Proceedings ArticleDOI

An interoperability model based on ontologies for learning object repositories

TL;DR: This paper presents a solution based on ontologies for interoperability between repositories that use different metadata in the description of its objects that include the necessary metadata to be harvested.
Journal ArticleDOI

Automatic Content Recommendation and Aggregation According to SCORM.

TL;DR: This paper developed a computer system prototype which applies the proposed methodology which employs ontologies, automatic annotation of metadata, information retrieval and text mining to recommend and aggregate related content, using the relation metadata category as defined by SCORM.
Proceedings ArticleDOI

Linked Data Approach to Mutually Enrich Traditional Education Resources with Global Open Education

TL;DR: An interoperable architecture to produce and exploit education resources as linked open data that is well aligned in education organizations internally and externally that leads to providing the education organization with SPARQL end point to also enable others to exploit its linked data.
References
More filters

Ontology Development 101: A Guide to Creating Your First Ontology

TL;DR: An ontology defines a common vocabulary for researchers who need to share information in a domain that includes machine-interpretable definitions of basic concepts in the domain and relations among them.
Proceedings Article

Methodology for the Design and Evaluation of Ontologies

TL;DR: The goal of the TOVE (TOronto Virtual Enterprise) Enterprise Modelling project is to create the next generation Enterprise Model, a Common Sense Enterprise Model that has the ability to deduce answers to queries that require relatively shallow knowledge of the domain.
Journal ArticleDOI

Resource description framework: metadata and its applications

TL;DR: This survey aims at providing a glimpse at the past, present, and future of this upcoming technology and highlights why it is expected that knowledge discovery and data mining can benefit from RDF and the Semantic Web.

Draft Standard for Learning Object Metadata

TL;DR: The IEEE is the sole entity that may authorize the use of IEEE owned trademarks, certification marks, or other designations that may indicate compliance with the materials contained herein.
Proceedings ArticleDOI

EDUTELLA: a P2P networking infrastructure based on RDF

TL;DR: In this article, the authors discuss the open source project Edutella which builds upon metadata standards defined for the WWW and aims to provide an RDF-based metadata infrastructure for P2P applications, building on the recently announced JXTA Framework.