Abstract:
|
Current research work in e-learning and more specifically in the field of CSCL (Computer Supported
Collaborative Learning) deals with design of collaborative activities, according to computer-interpretable
specifications, such as IMS Learning Design, and their posterior enactment using LMSs (Learning Management
Systems). A script that describes such collaborative activities is typically designed beforehand in order to
structure collaboration, and defines the features that determine the behavior of the LMS, for instance, the
sequence of activities or the groups/role distribution. In CSCL settings, group management and composition are
especially relevant and affect the chances of achieving the expected learning outcomes. This paper presents a
software tool, named InstanceCollage, which aims at facilitating the configuration and population of groups for
IMS-LD scripts created with the authoring tool Collage, and discusses the implications of the IMS-LD
specification with respect to this task. InstanceCollage is designed to process collaboration scripts based on
CLFPs (Collaborative Learning Flow Patterns). Using this type of patterns, InstanceCollage focuses on the
importance of understanding the function of groups within the learning strategy of the script. This paper
describes the approach taken in InstanceCollage to facilitate this understanding for non-expert users.
Additionally, two case studies are presented, which represent complex authentic collaborative learning
scenarios, as a proof of concept of the functionality of this tool. The case studies are also used to illustrate the
requirements of group configuration tools and to show that InstanceCollage complies to such requirements. |