QUT ePrints

Data Mining for Evaluation, Benchmarking and Reflective Practice in a LMS

Heathcote, Elizabeth A. & Dawson, Shane P. (2005) Data Mining for Evaluation, Benchmarking and Reflective Practice in a LMS. In E-Learn World Conference on E-Learning in Corporate, Government, Heathcare and Higher Education 2005, 24-28 October, Vancouver, Canada.

Abstract

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.

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

1,541 since deposited on 04 Nov 2005
235 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 2368
Item Type: Conference Paper
Additional URLs:
Keywords: LMS, Evaluation, data mining
ISBN: 1880094576
Subjects: Australian and New Zealand Standard Research Classification > EDUCATION (130000) > SPECIALIST STUDIES IN EDUCATION (130300) > Educational Technology and Computing (130306)
Australian and New Zealand Standard Research Classification > EDUCATION (130000)
Divisions: Current > QUT Faculties and Divisions > Faculty of Education
Copyright Owner: Copyright 2005 AACE
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 04 Nov 2005
Last Modified: 09 Jun 2010 22:28

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page