|Intelligent Learning Agents Research|
Intelligent Learning Agents Research
Intelligent Learning Agents operate primarily at the individual learning level. Their objective is to accelerate the acquisition and the adoption of relevant new concepts and practices by individuals. InCAs are a very advanced approach to technology-enhanced or e-learning. They operate first at the motivational level, and then gradually involve the learner in an interactive process, in which an individual first better understands and develops interest for the new concepts and practices, and then successfully integrates and adopts them, individually as well as in his/her organizational or social context. In our current projects and research plans, we are modelling, designing and developing prototypes of InCAs operating in different application domains such as making people learn to manage and share knowledge in organizations better and faster (K-InCA), generate and extract value from virtual communities (C-InCA), or become more learning-oriented (L-InCA).
Example of Research Progress: Towards Intelligent Agents operating in Social Contexts. The K-InCA and the EdComNet Projects have advanced our understanding of how to design software agents operating in organizational contexts aimed at triggering learning and behavioral change in individuals. After having explored extensively the cognitive dimension of such anthropomorphic agents interacting with people using a conversational metaphor, we have focused on how to design such agents in a way which leverages as much as possible the social context in which such agents operate, as well as research issues related to user modeling and ontologies of knowledge management systems, which we are exploring in the context of the Ontologging Project. These studies are leading to the definition of new standards and design principles aimed at employing advanced learning technologies in a way which recognizes and exploits more explicitly the fact that learning and change always take place in a social context.
|Advanced Simulations Research|
Advanced Simulations Research
Advanced Simulations of Organizational Dynamics are experiential learning systems exploiting technologies such as multimedia or virtual reality to accelerate the understanding and learning of organizational processes. Such simulations are built on models of human behaviour and social processes in organizations, and their design and evaluation helps us to understand the opportunities and the limits of supporting learning through the design and creation of highly realistic, simulated learning experiences. In our current projects and research plans, we are modelling, designing and developing extensions of the kernel (organizational behaviour processes) as well as of the interactive components (learning in multi-user virtual reality environments) of the EIS Simulation, which addresses learning in the domain of change management and resistance to change in organizations, and which is currently extensively used as a pedagogical and research tool in a number of universities and organizations world-wide (providing a rich continuous flow of feedback data for evaluation research).
|Learning in Virtual Communities Research|
Learning in Virtual Communities Research
In the domain of Virtual Communities, our research projects address and contribute to knowledge creation in the domain of the design of effective online environments in which communities (of researchers, employees of one or more companies, customers, service providers, etc.) learn, structure and manage knowledge as well knowledge- and value-creating processes. In our current projects and research plans, we are extending further the technical features, the underlying social dynamics model, and the evaluation of the ICDT Platform, a virtual community environment which is used in a variety of research projects, knowledge management and e-learning contexts.
|Innovation & Knowledge Management Research|
Innovation & Knowledge Management Research
In the domain of E-nnovation Studies, our research projects aim at better understanding the phenomenon of ‘innovation in the Information Age’ by studying new models and forms of innovation taking place at the individual level (‘CyberEntrepreneurs’), in organizations (e.g. through the introduction of ‘incubators’), as well as in whole market or industry sectors (e.g. the transformation and evolution of the content, of the banking, and the education sectors as well as of technology-enhanced dynamics at the communiy, regional, national and international level).