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Using Automatic Item Generation to Create Multiple-Choice Questions for Pharmacy Assessment.

Tara Leslie1, Mark J Gierl2

  • 1Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB.

American Journal of Pharmaceutical Education
|October 18, 2023
PubMed
Summary
This summary is machine-generated.

Automatic item generation (AIG) successfully created over 15,000 multiple-choice questions (MCQs) for pharmacy licensing exams. This viable strategy ensures high-quality assessment items for clinical pharmacy practice.

Keywords:
automatic item generationmultiple-choice questionspharmacy assessmenttest development

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Area of Science:

  • Assessment research
  • Educational technology
  • Pharmacy education

Background:

  • Automatic item generation (AIG) is an emerging field using technology to create assessment items.
  • While AIG has been applied in medicine and dentistry, its use in pharmacy education is novel.
  • High-stakes pharmacy examinations require reliable and valid assessment tools.

Purpose of the Study:

  • To implement AIG for generating multiple-choice questions (MCQs) for a summative pharmacy examination.
  • To establish a robust process for creating a bank of pharmacy assessment items.

Main Methods:

  • A three-step AIG process was employed, including cognitive and item model development.
  • Systematic distractor generation was incorporated to enhance item quality.
  • Computer technology was used to assemble items, with a sample reviewed against established quality guidelines.

Main Results:

  • Over 15,000 MCQs were generated, covering patient assessment and treatment for nausea/vomiting in clinical pharmacy.
  • A subset of generated items met content validity and quality standards upon review.

Conclusions:

  • The AIG process is a feasible method for developing a test item bank for pharmacy licensing examinations.
  • This approach supports the creation of high-quality MCQs suitable for high-stakes assessments in pharmacy.