Data Mining for Evaluation, Benchmarking and Reflective Practice in a LMS
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Description
Large amounts of user and systems information is tracked by Learning Management Systems (LMS), affording the evaluation of online learning and teaching behaviour from a teaching unit level through to an enterprise level. At Queensland University of Technology, data from the in-house built LMS was mined over the period 2001- present for trends and usage information in order to provide a valuable perspective to evaluating systems usage, learning and teaching behaviours and benchmarking. This case study investigates the role of quantitative data in evaluating teaching and learning at various levels from unit of study to the enterprise through the establishment of benchmarks. Analysis of asynchronous discussion forum usage is discussed as an example.
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| ID Code: | 2368 |
|---|---|
| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) |
| Measurements or Duration: | 8 pages |
| Keywords: | Data mining, Learning Management system, Online technologies |
| ISBN: | 1-880094-57-6 |
| Pure ID: | 34245364 |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Education Past > QUT Faculties & Divisions > Division of Technology, Information and Library Services |
| Copyright Owner: | Consult author(s) regarding copyright matters |
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| Deposited On: | 04 Nov 2005 00:00 |
| Last Modified: | 03 Mar 2024 11:48 |
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