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Tech Report kmi-01-04 Abstract


Changing Tools, Changing Attitudes: Effects of introducing a CSCL system to promote learning at work
Techreport ID: kmi-01-04
Date: 2001
Author(s): Daisy Mwanza
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The use of computer-supported collaborative learning (CSCL) tools to manage and support learning at work offers a lot of advantages, such as the increase in the availability and access to knowledge. However, computer systems also introduce new ways of doing things, which may impact on their acceptability and usage in an organisation. The study considers the issue of re-mediating human activity through the introduction of a CSCL system to support collaborative organisational learning (COL) activities as a way of promoting learning at work. A comparative study into the effects of re-mediating work practices in an organisation was conducted 'before' and 'after' the introduction of a CSCL system using three selected constitutive elements of COL namely: collaboration, knowledge sharing and interactivity. The study used activity theory as a framework for examining the support mechanisms for the selected elements of COL from a social and cultural perspective in terms of how they occur, and how they are supported in context. Findings highlighted the importance of accounting for social and cultural issues relating to the tool user, prior to the introduction of a CSCL system to support learning at work, as these could impact on the usage and acceptability of such a tool.

Publication(s):

Mwanza, D., (2001). "Changing Tools, Changing Attitudes: Effects of introducing a CSCL system to promote learning at work." To appear in the proceedings of the Euro-CSCL 2001, 22-24 March 2001, Maastricht, Holland.
 
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Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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