621 research outputs found
Learning objects and learning designs: an integrated system for reusable, adaptive and shareable learning content
This paper proposes a system, the Smart Learning Design Framework, designed to support the development of pedagogically sound learning material within an integrated, platform-independent data structure. The system supports sharing, reuse and adaptation of learning material via a metadata-driven philosophy that enables the technicalities of the system to be imperceptible to the author and consumer. The system proposes the use of pedagogically focused metadata to support and guide the author and to adapt and deliver the content to the targeted consumer. A prototype of the proposed system, which provides proof of concept for the novel processes involved, has been developed. The paper describes the Smart Learning Design Framework and places it within the context of alternative learning object models and frameworks to highlight similarities, differences and advantages of the proposed system
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ICOPER Project - Deliverable 4.3 ISURE: Recommendations for extending effective reuse, embodied in the ICOPER CD&R
The purpose of this document is to capture the ideas and recommendations, within and beyond the ICOPER community, concerning the reuse of learning content, including appropriate methodologies as well as established strategies for remixing and repurposing reusable resources. The overall remit of this work focuses on describing the key issues that are related to extending effective reuse embodied in such materials. The objective of this investigation, is to support the reuse of learning content whilst considering how it could be originally created and then adapted with that ‘reuse’ in mind. In these circumstances a survey on effective reuse best practices can often provide an insight into the main challenges and benefits involved in the process of creating, remixing and repurposing what we are now designating as Reusable Learning Content (RLC).
Several key issues are analysed in this report: Recommendations for extending effective reuse, building upon those described in the previous related deliverables 4.1 Content Development Methodologies and 4.2 Quality Control and Web 2.0 technologies. The findings of this current survey, however, provide further recommendations and strategies for using and developing this reusable learning content. In the spirit of ‘reuse’, this work also aims to serve as a foundation for the many different stakeholders and users within, and beyond, the ICOPER community who are interested in reusing learning resources.
This report analyses a variety of information. Evidence has been gathered from a qualitative survey that has focused on the technical and pedagogical recommendations suggested by a Special Interest Group (SIG) on the most innovative practices with respect to new media content authors (for content authoring or modification) and course designers (for unit creation). This extended community includes a wider collection of OER specialists. This collected evidence, in the form of video and audio interviews, has also been represented as multimedia assets potentially helpful for learning and useful as learning content in the New Media Space (See section 4 for further details).
Section 2 of this report introduces the concept of reusable learning content and reusability. Section 3 discusses an application created by the ICOPER community to enhance the opportunities for developing reusable content. Section 4 of this report provides an overview of the methodology used for the qualitative survey. Section 5 presents a summary of thematic findings. Section 6 highlights a list of recommendations for effective reuse of educational content, which were derived from thematic analysis described in Appendix A. Finally, section 7 summarises the key outcomes of this work
Reuse through rapid development
The general issue of reuse of digital resources, called Learning Objects (LOs), in education is discussed here. Ideas are drawn from software engineering which has long grappled with the reuse problem. Arguments are presented for rapid development methodologies and a corresponding method for generation of online mathematics question banks is described
Sorting Through and Sorting Out: The State of Content Sharing in the E-Learning
On 22-24 September 2002, a group of 22 education and information technology specialists gathered on the campus of the University of California at Irvine (UCI), for a symposium on the state of educational "content sharing." (See participant list.) The meeting was sponsored by the William and Flora Hewlett Foundation Education Program and the UCI Distance Learning Center. This paper summarizes the themes that emerged from that gathering. Most papers can be characterized as collaborative, but this one is particularly deserving of that adjective. The presentation here is an attempt to synthesize the ideas of all the participants, expressed in numerous conversational and written exchanges pre-, during and post-meeting. While every effort has been made to present the range of views, surely not all participants would agree with the emphases and interpretations herein.This report includes a hyper-linked bibliography and footnotes for additional web-based material on e-learning topics. Links are provided for the reader's convenience only, and represent neither an endorsement nor a guarantee of the accuracy of the content of the associated sites. Comments and questions about this document are welcomed, however, and should be directed to the author or the meeting sponsors
Facilitating the creation of interactive multi-device Learning Objects using an online authoring tool
Learning Objects facilitate reuse leading to cost and time savings as well as to the enhancement of the quality of educational resources. However, teachers find it difficult to create or to find high quality Learning Objects, and the ones they find need to be customized. Teachers can overcome this problem using suitable authoring systems that enable them to create high quality Learning Objects with little effort. This paper presents an open source online e-Learning authoring tool called ViSH Editor together with four novel interactive Learning Objects that can be created with it: Flashcards, Virtual Tours, Enriched Videos and Interactive Presentations. All these Learning Objects are created as web applications, which can be accessed via mobile devices. Besides, they can be exported to SCORM including their metadata in IEEE LOM format. All of them are described in the paper including an example of each. This approach for creating Learning Objects was validated through two evaluations: a survey among authors and a formal quality evaluation of 209 Learning Objects created with the tool. The results show that ViSH Editor facilitates educators the creation of high quality Learning Objects
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Towards adaptive e-learning applications based on Semantic Web Services
The current state of the art in supporting E-Learning objectives is primarily based on providing a learner with learning content by using metadata standards like ADL SCORM 2004 or IMS Learning Design. By following this approach, several issues can be observed including high development costs due to a limited reusability across different standards and learning contexts. To overcome these issues, our approach changes this data-centric paradigm to a highly dynamic service-oriented approach. By following this approach, learning objectives are supported based on a automatic allocation of services instead of a manual composition of learning data. Our approach is fundamentally based on current Semantic Web Service (SWS) technology and considers mappings between different learning metadata standards as well as ontological concepts for E-Learning. Since our approach is based on a dynamic selection and invocation of SWS appropriate to achieve a given learning objective within a specific learning context, it enables the dynamic adaptation to specific learning needs as well as a high level of reusability across different learning contexts
Content-driven design and architecture of E-learning applications
E-learning applications combine content with learning technology systems to support the creation of content and its delivery to the learner. In the future, we can expect the distinction between learning content and its supporting infrastructure to become blurred. Content objects will interact with infrastructure services as independent objects. Our solution to the development of e-learning applications – content-driven design and architecture – is based on content-centric ontological modelling and development of architectures. Knowledge and modelling will play an important role in the development of content and architectures. Our approach integrates content with
interaction (in technical and educational terms) and services (the principle organization for a system architecture), based on techniques from different fields, including software engineering, learning design, and knowledge engineering
The future of technology enhanced active learning – a roadmap
The notion of active learning refers to the active involvement of learner in the learning process,
capturing ideas of learning-by-doing and the fact that active participation and knowledge construction leads to deeper and more sustained learning. Interactivity, in particular learnercontent interaction, is a central aspect of technology-enhanced active learning. In this roadmap,
the pedagogical background is discussed, the essential dimensions of technology-enhanced active learning systems are outlined and the factors that are expected to influence these systems currently and in the future are identified. A central aim is to address this promising field from a
best practices perspective, clarifying central issues and formulating an agenda for future developments in the form of a roadmap
An Integrated Approach for Automatic\ud Aggregation of Learning Knowledge Objects
This paper presents the Knowledge Puzzle, an ontology-based platform designed to facilitate domain\ud
knowledge acquisition from textual documents for knowledge-based systems. First, the\ud
Knowledge Puzzle Platform performs an automatic generation of a domain ontology from documents’\ud
content through natural language processing and machine learning technologies. Second,\ud
it employs a new content model, the Knowledge Puzzle Content Model, which aims to model\ud
learning material from annotated content. Annotations are performed semi-automatically based\ud
on IBM’s Unstructured Information Management Architecture and are stored in an Organizational\ud
memory (OM) as knowledge fragments. The organizational memory is used as a knowledge\ud
base for a training environment (an Intelligent Tutoring System or an e-Learning environment).\ud
The main objective of these annotations is to enable the automatic aggregation of Learning\ud
Knowledge Objects (LKOs) guided by instructional strategies, which are provided through\ud
SWRL rules. Finally, a methodology is proposed to generate SCORM-compliant learning objects\ud
from these LKOs
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