On the use of an IMS LD ontology for creating and executing Units of Learning: Application to the Astronomy case study

This paper describes how the Astronomy case study is modelled, created and executed, using a IMS LD ontology. The ontology was aimed at overcoming the expressiveness limitations of the IMS LD XML Schema by means of a taxonomy of concepts and a set of formally defined axioms. With regard to the authoring (creation) stage, the ontology has been used to enable the automatic validation of IMS LD documents in WebLD, a web authoring tool to create IMS LD Units of Learning. With regard to the execution stage, a service-oriented architecture was developed to allow the execution of IMS LD Units of Learning, whose learning processes have been modelled through Petri Nets.Editors: Laurence Vignollet (Universitè de Savoie, France

Flexible virtual learning environments: a schema-driven approach using sematic web concepts

Flexible e-Iearning refers to an intelligent educational mechanism that focuses on simulating and improving traditional education as far as possible on the Web by integrating various electronic approaches, technologies, and equipment. This mechanism aims to promote the personalized development and management of e-learning Web services and applications. The main value of this method is that it provides high-powered individualization in pedagogy for students and staff.Here, the thesis mainly studied three problems in meeting the practical requirements of users in education. The first question is how a range of teaching styles (e.g. command and guided discovery) can be supported. The second one is how varieties of instructional processes can be authored. The third question is how these processes can be controlled by learners and educators in terms of their personalized needs during the execution of instruction.In this research, through investigating the existing e-Iearning approaches and technologies, the main technical problems of current virtual learning environments (VLEs) were analyzed. Next, by using the Semantic Web concepts as well as relevant standards, a schema-driven approach was created. This method can support users' individualized operations in the Web-based education. Then, a flexible e-learning system based on the approach was designed and implemented to map a range of extensive didactic paradigms. Finally, a case study was completed to evaluate the research results. The main findings of the assessment were that the flexible VLE implemented a range of teaching styles and the personalized creation and control of educational processes

A Visual Ontology-Driven LD Editor and Player: Application to the Planet Game Case Study

This article first summarizes our previous work on Educational Modelling and Visual Editors, to provide the context for our more recent work within the LORNET [1] research network that has led to the development of TELOS, an ontology-based system to support the design, development and delivery of Semantic Web learning environments. Within that system, a central piece is the Scenario Editor that enables the aggregation of resources (actors, activities, operations, documents, tools) into a visual multi-actor workflow/learnflow, which is the central model defining the environment. Another piece is the Ontology Editor that is used to associate execution and domain knowledge semantics to entities in the scenario. Using these tools, a new version of the Planet Game scenario has been build as a case study including an IMS-LD design at level A, B, C. We will analyze the case study to underline how it addresses some difficulties in the use of the IMS-LD specification. Finally, we will discuss the generality of this ontology-driven approach and this contribution to the field of educational modelling.Editors: Laurence Vignollet (Université de Savoie, France).Interactive elements: Collage authoring tool is published in SourceForge and can be also downloaded from http://gsic.tel.uva.es/collage</a

Semantic and pragmatic characterization of learning objects

Tese de doutoramento. Engenharia Informática. Universidade do Porto. Faculdade de Engenharia. 201

SEMANTICALLY INTEGRATED E-LEARNING INTEROPERABILITY AGENT

Educational collaboration through e-learning is one of the fields that have been worked on since the emergence of e-learning in educational system. The e-learning standards (e.g. learning object metadata standard) and e-learning system architectures or frameworks, which support interoperation of correlated e-learning systems, are the proposed technologies to support the collaboration. However, these technologies have not been successful in creating boundless educational collaboration through e-learning. In particular, these technologies offer solutions with their own requirements or limitations and endeavor challenging efforts in applying the technologies into their elearning system. Thus, the simpler the technology enhances possibility in forging the collaboration. This thesis explores a suite of techniques for creating an interoperability tool model in e-learning domain that can be applied on diverse e-learning platforms. The proposed model is called the e-learning Interoperability Agent or eiA. The scope of eiA focuses on two aspects of e-learning: Learning Objects (LOs) and the users of elearning itself. Learning objects that are accessible over the Web are valuable assets for sharing knowledge in teaching, training, problem solving and decision support. Meanwhile, there is still tacit knowledge that is not documented through LOs but embedded in form of users' expertise and experiences. Therefore, the establishment of educational collaboration can be formed by the users of e-learning with a common interest in a specific problem domain. The eiA is a loosely coupled model designed as an extension of various elearning systems platforms. The eiA utilizes XML (eXtensible Markup Language) technology, which has been accepted as the knowledge representation syntax, to bridge the heterogeneous platforms. At the end, the use of eiA as facilitator to mediate interconununication between e-leaming systems is to engage the creation of semantically Federated e-learning Community (FeC). Eventually, maturity of the FeC is driven by users' willingness to grow the community, by means of increasing the elearning systems that use eiA and adding new functionalities into eiA

SWA-KMDLS: An Enhanced e-Learning Management System Using Semantic Web and Knowledge Management Technology

In this era of knowledge economy in which knowledge have become the most precious resource, surveys have shown that e-Learning has been on the increasing trend in various organizations including, among others, education and corporate. The use of e-Learning is not only aim to acquire knowledge but also to maintain competitiveness and advantages for individuals or organizations. However, the early promise of e-Learning has yet to be fully realized, as it has been no more than a handout being published online, coupled with simple multiple-choice quizzes. The emerging of e-Learning 2.0 that is empowered by Web 2.0 technology still hardly overcome common problem such as information overload and poor content aggregation in a highly increasing number of learning objects in an e-Learning Management System (LMS) environment. The aim of this research study is to exploit the Semantic Web (SW) and Knowledge Management (KM) technology; the two emerging and promising technology to enhance the existing LMS. The proposed system is named as Semantic Web Aware-Knowledge Management Driven e-Learning System (SWA-KMDLS). An Ontology approach that is the backbone of SW and KM is introduced for managing knowledge especially from learning object and developing automated question answering system (Aquas) with expert locator in SWA-KMDLS. The METHONTOLOGY methodology is selected to develop the Ontology in this research work. The potential of SW and KM technology is identified in this research finding which will benefit e-Learning developer to develop e-Learning system especially with social constructivist pedagogical approach from the point of view of KM framework and SW environment. The (semi-) automatic ontological knowledge base construction system (SAOKBCS) has contributed to knowledge extraction from learning object semiautomatically whilst the Aquas with expert locator has facilitated knowledge retrieval that encourages knowledge sharing in e-Learning environment. The experiment conducted has shown that the SAOKBCS can extract concept that is the main component of Ontology from text learning object with precision of 86.67%, thus saving the expert time and effort to build Ontology manually. Additionally the experiment on Aquas has shown that more than 80% of users are satisfied with answers provided by the system. The expert locator framework can also improve the performance of Aquas in the future usage. Keywords: semantic web aware – knowledge e-Learning Management System (SWAKMDLS), semi-automatic ontological knowledge base construction system (SAOKBCS), automated question answering system (Aquas), Ontology, expert locator

Customisable e-training programmes based on trainees profiles

Dissertation presented at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa to obtain the Master degree in Electrical and Computer EngineeringOnline training (e-training) is a major driver to promote the development of competencies and knowledge in enterprises. A lack of customizable e-training programmes based on trainees‟ profiles and of continuous maintenance of the training materials prevents the sustainability of industrial training deployment. This dissertation presents a training strategy and a methodology for building training courses with the purpose to provide a trainee oriented industrial training development. The training strategy intends to facilitate the management of all the training components and tasks to be able to build a training structure focused in a specific planned objective. The methodology for building e-training courses proposes to create customizable training materials in an easier way, enabling various organizations to participate actively on its production. Additionally a customisable training programme framework is presented. It is supported by a compliant ontology-based model able to support adaptable training contents, orchestration service, facilitating the efficiency and acceptance of the e-training programmes delivery

Development of a Personalized e-learning Model Using Methods of Ontology

AbstractA number of recent studies are trying to improve the quality and effectiveness of e-learning using principles of several research areas. This trend of personalization development also appears in e-learning. One of the ideologically closest fields of science is knowledge management (KM). The aim of this article is to identify overlapping points of KM and e-learning phases to improve the structure and transfer of personalized course knowledge using effective methods of ontology and metadata standards. This research offers a theoretical background of knowledge management principle implementation for the development of a practical personalized e-learning model

A note on organizational learning and knowledge sharing in the context of communities of practice

Please, cite this publication as: Antonova, A. & Gourova, E. (2006). A note on organizational learning and knowledge sharing in the context of communities of practice. Proceedings of International Workshop in Learning Networks for Lifelong Competence Development, TENCompetence Conference. September 12th, Sofia, Bulgaria: TENCompetence. Retrieved June 30th, 2006, from http://dspace.learningnetworks.orgThe knowledge management (KM) literature emphasizes the impact of human factors for successful implementation of KM within the organization. Isolated initiatives for promoting learning organization and team collaboration, without taking consideration of the knowledge sharing limitations and constraints can defeat further development of KM culture. As an effective instrument for knowledge sharing, communities of practice (CoP) are appearing to overcome these constraints and to foster human collaboration.This work has been sponsored by the EU project TENCompetenc