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A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
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Constructing tests for skill assessment with competence-based test development.

Pasquale Anselmi1, Jürgen Heller2, Luca Stefanutti1

  • 1Department of Philosophy, Sociology, Education and Applied Psychology (FISPPA), University of Padova, Padova, Italy.

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|October 8, 2024
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Summary
This summary is machine-generated.

Competence-based test development refines test construction by streamlining the competency deletion procedure. This innovative method enhances test informativeness and allows for incorporating developer preferences to better uncover individual skill states.

Keywords:
competence modelcompetence structureproblem functionshort testsskill assessmenttest construction

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Area of Science:

  • Psychometrics
  • Educational Measurement
  • Cognitive Science

Background:

  • Competence-based test development aims to create maximally informative tests about an individual's skill set.
  • Existing methods like the competency deletion procedure can be complex and computationally intensive.
  • Test construction often requires balancing informativeness with practical constraints and developer input.

Purpose of the Study:

  • To introduce a streamlined competency deletion procedure for efficient test construction.
  • To integrate test developer preferences regarding competencies into the test development process.
  • To evaluate the performance of tests developed using the streamlined procedure in accurately assessing competence states.

Main Methods:

  • A streamlined version of the competency deletion procedure was developed, focusing on essential information for test construction.
  • A method was devised to incorporate test developer preferences directly into the selection of competencies.
  • The performance of the resulting tests was evaluated based on their ability to accurately infer competence states from item responses.

Main Results:

  • The streamlined procedure effectively reduces computational complexity while retaining test informativeness.
  • Incorporating developer preferences did not significantly compromise the tests' ability to uncover competence states.
  • The developed tests demonstrated strong performance in accurately identifying individuals' underlying skill sets.

Conclusions:

  • The streamlined competency deletion procedure offers an efficient and flexible approach to competence-based test development.
  • This method allows for the creation of informative tests that align with both psychometric principles and practical developer needs.
  • The findings support the use of this enhanced procedure for developing accurate and efficient assessments of individual competencies.