Computerized adaptive testing in computer assisted learning?

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)


A major goal in computerized learning systems is to optimize learning, while in computerized adaptive tests (CAT) efficient measurement of the proficiency of students is the main focus. There seems to be a common interest to integrate computerized adaptive item selection in learning systems and testing. Item selection is a well founded building block of CAT. However, there are a number of problems that prevent the application of a standard approach, based on item response theory, of computerized adaptive item selection to learning systems. In this work attention will be paid to three unresolved points: item banking, item selection, and choice of IRT model. All problems will be discussed, and an approach to automated item bank generation is presented. Finally some recommendations are given.
Original languageEnglish
Title of host publicationInterdisciplinary Approaches to Adaptive Learning. A Look at the Neighbours
Subtitle of host publicationFirst International Conference on Interdisciplinary Research on Technology, Education and Communication, ITEC 2010, Kortrijk, Belgium, May 25-27, 2010, Revised Selected Papers
EditorsStefan De Wannemacker, Geraldine Clarebout, Patrick De Causmaecker
ISBN (Electronic)978-3-642-20074-8
ISBN (Print)978-3-642-20073-1
Publication statusPublished - 2011

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


  • METIS-292534
  • IR-100550


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