Emerging and scripted roles in computer-supported collaborative learning

Emerging and scripted roles pose an intriguing approach to analysing and facilitating CSCL. The concept of emerging roles provides a perspective on how learners structure and self-regulate their CSCL processes. Emerging roles appear to be dynamic over longer periods of time in relation to learners’ advancing knowledge, but are often unequally distributed in ad hoc CSCL settings, e.g. a learner being the ‘typist’ and another being the ‘thinker’. Empirical findings show that learners benefit from structuring or scripting CSCL. Scripts can specify roles and facilitate role rotation for learners to equally engage in relevant learning roles and activities. Scripted roles can, however, collide with emerging roles and therefore need to be carefully attuned to the advancing capabilities of the learners

Artificial intelligence support for knowledge management in construction

The deployment of Artificial Intelligence (AI) tools and techniques to various problem domains in organisation has been steady since their introduction.On the other hand, knowledge management is an innovative approach which is increasingly seen as a source of competitive advantage.This study attempts to investigate the use of established and proven AI tools and techniques in supporting end-users of knowledge management systems through more efficient elicitation and representation of corporate knowledge.Case studies are used to show the situations of knowledge management systems in the construction organisations.From the results of the case studies, this paper attempts to show the usefulness of deploying AI tools and techniques in capturing and representation knowledge in the context of the construction industry

A groupware system for supporting collaborative creativity

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