Output details
11 - Computer Science and Informatics
The University of West London
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Output title
Extending LMS to Support IRT-Based Assessment Test Calibration
Type
E - Conference contribution
Name of conference/published proceedings
Technology Enhanced Learning. Quality of Teaching and Educational Reform Communications in Computer and Information Science
Volume number
73
Issue number
-
First page of article
534
ISSN of proceedings
1865-0937
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
<29> This paper introduced a methodological and architectural framework for extending an LMS with IRT-based assessment calibration to increase the overall validity of the testing process. Its originality lies in the fact that despite using a complex approach to item evaluation (IRT), the proposed framework is user-friendly and allows users with no statistical background to comprehend and utilise the analysis results. It can be adapted to other LMSs and would be ideally suited for a MOOC environment. Optimising the latter’s extensive item pools could improve its assessment quality, thus possibly driving more institutions to offer course credit for MOOC completion.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
