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Item Selection Rules for Content Adaptive Progress Testing

  • University of Plymouth
  • IT Solutions, Braga
  • ERASMUS+ OAIPT Project Team
  • University of Minho

Research output: Contribution to journalArticlepeer-review

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Abstract

Content adaptive progress testing (CAPT) introduces a new approach to longitu
dinal testing of candidates who take progress tests as part of their educational program.
CAPT assessments adapt between subsequent assessments, tailoring items on an
individual level to assist each candidate in demonstrating knowledge across many
topics which are all mapped to the overall course learning outcomes. In this way,
success is measured by topic completion on an individual level. Some of the key
benefits include a truly personalized learning experience, with individual feedback
throughout, while also tracking each candidate’s progress against a single long-term
goal of demonstrating attainment across all required topics. For the learning experience
to be personalized, there needs to be automatic software selection of different items for
each candidate based on their performance across a sequence of assessments. The
advantages, disadvantages and practical implementation of different item selection
rules are discussed. There is a need to ensure that no item is repeated to the same
candidate in any test: No two items in the same test belong to the same topic for the
same candidate, a minimum number of topics per broader area are administered in every
assessment, and selection of incomplete topics is prioritized over complete topics.
These rules need to be clear and transparent to motivate appropriate learning.
Original languageEnglish
Pages (from-to)7-20
JournalJournal of Computerized Adaptive Testing
Volume13
Issue number2
DOIs
Publication statusPublished - 5 Jun 2026

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