E-learning, Production of Web Based Training, Taxonomies, Collaborative Authoring, Knowledge Modelling, Semantic Design, Instructional design support tool

Information and communication technology (ICT) skills/ competence frameworks are an important prerequisite for ICT competence development and related quality assurance for recognition and transferability of qualifications. In this paper it is argued the importance of interoperability through common or explicit semantics of ICT competence profiles. This requires modelling on basis of shared frameworks. Thus, existing frameworks have been analysed. The paper presents underlying structure and data models of some prominent systems that have achieved status of proprietary standards. Moreover, a conceptual model is derived on basis of a comprehensive analysis of respective meta data of skill/ competence grids. Presented work provides the theoretical foundation for further development of information systems for the management of knowledge, skills, competences and qualification. Applications are skill/competence catalogues and repositories, as well as web services for data exchange between human resource information systems.

Using Taxonomies to Support the Macro Design Process for the Production of Web Based Trainings

Today, Web Based Training (WBT) starts to be widely used as a new way of teaching. Unfortunately, this mode of teaching imposes new requirements and constraints. It has made the creation of learning materials a complex and demanding task for the instructors because it takes much time and demands a multitude of skills, in particular technical skills that must be developed and continuously updated. Hence, we propose a collaborative authoring methodology based on division of labor as a way to produce WBTs where the processes of production are clearly separated to meet the existing and needed skills of persons involved in WBT production. This paper presents an efficient method to support instructor’s guidance during the first phase of the WBT production called the Macro Design using the Rhetorical Structure Theory (RST) and taxonomies we developed.

Making Expert Knowledge of Adaptations of E-Learning Material Available with Patterns

Adapting E-Learning material allows re-using existing material even in changed usage scenarios. But this adaptation is a complex task. To achieve a perfect result expert knowledge is needed. Often adaptations have to be performed by persons who are not experts in performing these tasks. To enable those persons to achieve a satisfying result they need to be supported. Patterns are one possibility to make expert knowledge on certain tasks available to other persons. In this paper an approach is presented how expert knowledge of performing adaptations of existing E-Learning material can be  collected and made available with patterns. This approach can also be used to collect knowledge of other processes, e.g. in companies.