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Generating multiple-choice questions using reverse engineering techniques.

Sujin Shin1, Jaehwa Choi2, Eunmin Hong3

  • 1College of Nursing, Ewha Womans University, Seoul, Republic of Korea.

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Summary
This summary is machine-generated.

ChatGPT-4 can create nursing education multiple-choice questions using reverse engineering. AI-generated questions largely follow item development principles, serving as valuable drafts for educators.

Keywords:
Educational measurementeducational technologygenerative artificial intelligencemultiple-choice questionsnursing education

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Area of Science:

  • Nursing Education
  • Artificial Intelligence in Education

Background:

  • Traditional multiple-choice question (MCQ) development is time-consuming.
  • Exploring AI tools like ChatGPT-4 for efficient educational content creation is crucial.

Purpose of the Study:

  • To evaluate ChatGPT-4's capability in generating MCQs for nursing education using reverse engineering.
  • To assess the adherence of AI-generated MCQs to established item development principles.

Main Methods:

  • ChatGPT-4's nursing knowledge was assessed.
  • 20 reverse-engineered prompts were used to generate 60 MCQs.
  • Five nursing education experts reviewed the AI-generated MCQs for principle compliance.

Main Results:

  • ChatGPT-4 achieved 98% accuracy in medical-surgical nursing questions.
  • AI-generated MCQs averaged 7.90/9.00 compliance with item development principles.
  • The principle 'The question stem should use only essential words or phrases' was least adhered to.

Conclusions:

  • ChatGPT-4 is a valuable tool for drafting nursing educational materials, particularly MCQs.
  • Reverse engineering techniques and expert review enhance AI-generated question quality.
  • Educators can improve AI outputs by providing structured prompts with examples.