Integrating IRT analysis into LMS for item pool optimization

Fotaris, Panagiotis and Mastoras, Theodoros (2013) Integrating IRT analysis into LMS for item pool optimization. In: 2nd Workshop on Technology Enhanced Formative Assessment at EC-TEL 2013, the 8th European Conference on Technology Enhanced Learning, 17-21 Sept 2013, Paphos, Cyprus.

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Abstract

Due to the computerization of assessment tests, the use of Item Response Theory (IRT) has become commonplace for educational assessment development, evaluation, and refinement. When used appropriately by a Learning Management System (LMS), IRT can improve the assessment quality, increase the efficiency of the testing process, and provide in-depth descriptions of item and test properties. This paper introduces a methodological and architectural framework which embeds an IRT analysis tool in an LMS so as to extend its functionality with assessment optimization support. By applying a set of validity rules to the statistical indices produced by the IRT analysis, the enhanced LMS is able to detect several defective items from an item pool which are then reported for reviewing of their content. Assessment refinement is achieved by repeatedly employing this process until all flawed items are eliminated.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: e-learning, Item Pool Optimization, Computer Aided Assessment, Item Analysis, Massive Open Online Courses, MOOCs, Item Response Theory, IRT, Learning Management System, Technology Enhanced Learning
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 07 Dec 2013 14:32
Last Modified: 16 Jun 2017 09:44
URI: http://repository.uwl.ac.uk/id/eprint/444

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