Extending LMS to Support IRT-Based Assessment Test Calibration

Panagiotis Fotaris, Theodoros Mastoras, Ioannis Mavridis, Athanasios Manitsaris

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

Abstract

Developing unambiguous and challenging assessment material for measuring educational attainment is a time-consuming, labor-intensive process. As a result Computer Aided Assessment (CAA) tools are becoming widely adopted in academic environments in an effort to improve the assessment quality and deliver reliable results of examinee performance. This paper introduces a methodological and architectural framework which embeds a CAA tool in a Learning Management System (LMS) so as to assist test developers in refining items to constitute assessment tests. An Item Response Theory (IRT) based analysis is applied to a dynamic assessment profile provided by the LMS. Test developers define a set of validity rules for the statistical indices given by the IRT analysis. By applying those rules, the LMS can detect items with various discrepancies which are then flagged for review of their content. Repeatedly executing the aforementioned procedure can improve the overall efficiency of the testing process.
Original languageEnglish
Title of host publication1st International Conference, Tech-education 2010
Place of PublicationBerlin Heidelberg, Germany
PublisherSpringer-Verlag
Pages534-543
Number of pages10
Volume73
ISBN (Print)9783642131653
DOIs
Publication statusPublished - 19 May 2010
Event1st International Conference, Tech-education 2010 - Athens, Greece, May 19-21, 2010
Duration: 19 May 2010 → …

Publication series

NameCommunications in Computer and Information Science

Conference

Conference1st International Conference, Tech-education 2010
Period19/05/10 → …

Bibliographical note

The final authenticated version is available online at https://doi.org/10.1007/978-3-642-13166-0

Keywords

  • e-learning
  • Assessment Test Calibration
  • Computer Aided Assessment
  • Item Analysis
  • Item Response Theory
  • Learning Management System

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  • Cite this

    Fotaris, P., Mastoras, T., Mavridis, I., & Manitsaris, A. (2010). Extending LMS to Support IRT-Based Assessment Test Calibration. In 1st International Conference, Tech-education 2010 (Vol. 73, pp. 534-543). (Communications in Computer and Information Science). Springer-Verlag. https://doi.org/10.1007/978-3-642-13166-0