Donelan, H; Pattinson, C and Palmer-Brown, D
This is the latest version of this eprint.
PDF (Not Set)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
|Google Scholar:||Look up in Google Scholar|
A novel method for the analysis and interpretation of data that describes the interaction between trainee network managers and a network management training tool is presented. A simulation based approach is currently being used to train network managers, through the use of a simulated network. The motivation is to provide a tool for exposing trainees to a life like situation without disrupting a live network. The data logged by this system describes the detailed interaction between trainee network manager and simulated network. The work presented here provides an analysis of this interaction data that enables an assessment of the capabilities of the trainee network manager as well as an understanding of how the network management tasks are being approached. A neural network architecture is implemented in order to perform an exploratory data analysis of the interaction data. The neural network employs a novel form of continuous self-organisation to discover key features in the data and thus provide new insights into the learning and teaching strategies employed.
|Item Type:||Journal Article|
|Keywords:||network management; simulation based training tool; neural networks; data analysis|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Helen Donelan|
|Date Deposited:||24 Oct 2006|
|Last Modified:||09 Aug 2016 16:36|
|Share this page:|
Available Versions of this Item
The analysis of user behaviour of a network management training tool using a neural network. (deposited 24 Oct 2006)
- The analysis of user behaviour of a network management training tool using a neural network. (deposited 24 Oct 2006) [Currently Displayed]
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.