Albert A. Angehrn

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he is also an Affiliate Member of the Corporate Renewal initiative (CORE) and a member of the Center for Advanced Learning Technologies (CALT). He holds a doctoral degree from Harvard University Graduate School of Business Administration. His research is focused on the management of change, with a particular emphasis on behavioral issues associated with the(More)
This paper is presenting a generic ontology-based user modeling architecture , (OntobUM), applied in the context of a Knowledge Management System (KMS). Due to their powerful knowledge representation formalism and associated inference mechanisms, ontology-based systems are emerging as a natural choice for the next generation of KMSs operating in(More)
In this paper, we present an agent-based system designed to support the adoption of knowledge sharing practices within communities. The system is based on a conceptual framework that, by modelling the adoption of knowledge management practices as a change process, identifies the pedagogical strategies best suited to support users through the various stages(More)
Whilst there is a common agreement on the need to design e-learning systems able to take into account more explicitly the 'context' in which learners operate within organizations in order to achieve higher levels of customization (personalized interaction) and impact, many different perspectives exist related to the characterization of which 'context' has(More)
This paper addresses the challenge of enhancing social interaction through value-added connections among online community members engaged in knowledge exchange. We report on our exploration of three types of connection dynamics: (1) features enabling network members to visualize and browse through relationship networks, (2) intelligent agents and (3)(More)
This paper addresses the challenge of enhancing the social dimension of lifelong Competence Development and Management Systems with social network-based concepts and tools. Our premise is that through a combination of social network visualization tools, simulations, stimulus agents and management policies, we may improve the self-organizing and knowledge(More)