Integrating IRT Analysis into LMS for Item Pool Optimization

Panagiotis Fotaris, Theodoros Mastoras

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Due to the computerization of assessment tests, the use of Item Re- sponse Theory (IRT) has become commonplace for educational assessment de- velopment, 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 validi- ty 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.
Original languageEnglish
Title of host publicationProceedings of the 2nd Workshop on Technology Enhanced Formative Assessment co-located with EC-TEL 2013, the 8th European Conference on Technology Enhanced Learning
Place of PublicationPaphos, Cyprus
PublisherCEUR-WS.org
Pages0-0
Number of pages1
Volume1147
Publication statusPublished - 17 Sep 2013
EventProceedings of the 2nd Workshop on Technology Enhanced Formative Assessment co-located with EC-TEL 2013, the 8th European Conference on Technology Enhanced Learning - Paphos, Cyprus, September 17-21, 2013
Duration: 17 Sep 2013 → …

Workshop

WorkshopProceedings of the 2nd Workshop on Technology Enhanced Formative Assessment co-located with EC-TEL 2013, the 8th European Conference on Technology Enhanced Learning
Period17/09/13 → …

Keywords

  • e-learning
  • Item Pool Optimization
  • Computer Aided Assessment
  • Item Analysis
  • Massive Open Online Courses
  • MOOCs
  • Item Response Theory
  • Learning Management Systems
  • Technology Enhanced Learning

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    Fotaris, P., & Mastoras, T. (2013). Integrating IRT Analysis into LMS for Item Pool Optimization. In Proceedings of the 2nd Workshop on Technology Enhanced Formative Assessment co-located with EC-TEL 2013, the 8th European Conference on Technology Enhanced Learning (Vol. 1147, pp. 0-0). CEUR-WS.org. http://ceur-ws.org/Vol-1147/paper3.pdf