Аннотация

Recently, the nature of collaboration for learning and the dynamics of group interactions in learning environments have gained considerable interest. A focus on the processes of collaboration is necessary in order to understand the value of working together with peers for learning. The automatic tracking of cooperative interactions is a promising new direction in intelligently computer supported collaborative learning (I-CSCL). The challenge is to provide the system or environment with some kind of "group awareness", which is currently only indirectly mediated between humans by means of unintelligent communication facilities. First approaches have been developed for a micro-analysis of group interactions in multi-user learning environments and hybrid virtual and physical environments by automatically monitoring and analysing traces of interaction moves. These approaches take on a pragmatic perspective in group modelling and aim at establishing a descriptive as well as operational level of interaction representation. Though many research questions in this field are still open, there should now exist a critical mass to tackle the following issues and discuss different approaches: * automatic analysis of group traces by operational, domain-independent rules and context-specific information * development of a descriptive vocabulary for the abstracted representation of interactional patterns * visualisation and scaffolding mechanisms on the basis of a descriptive interactional * empirical studies * risks, promises and perspectives of the field. Support for collaborative working sessions may take place at a domain level by retrieving and providing actually needed information as well as at a meta level by mediation and communication management.

Описание

Collide Publications

Линки и ресурсы

тэги