Jehad Najjar

Towards a Global Component Architecture for Learning Objects: An Ontology Based Approach

This paper investigates basic research issues that need to be addressed in order to reuse learning objects in a flexible way. We propose an ontology based approach. Our ontology for learning objects defines content structures and relationships between their components. A conceptual framework for structuring learning objects and their components is introduced. Architectures like Horn’s Information Blocks and the Darwin Information Typing Architecture are investigated as an approach to define learning object component types.

Finding appropriate learning objects: an empirical evaluation

The challenge of finding appropriate learning objects is one of the bottlenecks for end users in Learning Object Repositories (LORs). This paper investigates usability problems of search tools for learning objects. We present findings and recommendations of an iterative usability study conducted to examine the usability of a search tool used to find learning objects in ARIADNE Knowledge Pool System [1]. Findings and recommendations of this study are generalized to other similar search tools.

Towards Effective Usage-Based Learning Applications: Track and Learn from User Experience(s)

In this paper we propose a schema and framework for recording and managing attention metadata. This framework is intended to capture, manage, and re-use data about attention users give to learning objects in different applications. Capturing attention allows us to track what objects people use and how they use them.

The LOM application profile for agricultural learning resources of the CGIAR

The international agricultural research centres of the CGIAR have established a repository for agricultural learning resources in collaboration with the ARIADNE Foundation. To make it easier to find these resources, an application profile, CG LOM Core, was developed on the basis of the IEEE Learning Object Metadata (LOM) standard. It defines the collection of metadata elements and value spaces drawn from other namespaces, adapted to the requirements of the CGIAR in describing and sharing their learning resources with an international audience. It maintains increased semantic interoperability within the CGIAR community and preserves compatibility with other repositories outside of the CGIAR.

Learning Outcome Based Higher Education: iCoper Use Cases

In this paper, we introduce use cases and standards towards a new approach of learning that is driven by learning outcomes to be achieved by learners. This leads to higher employability of learners.