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Using Automatic Item Generation to Create Solutions and Rationales for Computerized Formative Testing.

Mark J Gierl1, Hollis Lai1

  • 1University of Alberta, Edmonton, Canada.

Applied Psychological Measurement
|June 9, 2018
PubMed
Summary
This summary is machine-generated.

Automatic item generation (AIG) creates test items and rationales for computerized formative assessment. This method addresses the challenge of developing large, high-quality item banks needed for continuous student testing.

Keywords:
automatic item generationitem developmenttechnology and assessmenttest development

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Area of Science:

  • Educational Technology
  • Psychometrics
  • Computer Science

Background:

  • Computerized testing offers advantages for formative assessment but necessitates extensive item development.
  • The continuous administration of items in computerized formative testing requires large, diverse, high-quality item banks.
  • Automatic item generation (AIG) is an emerging approach utilizing cognitive and psychometric modeling for computer-assisted item creation.

Purpose of the Study:

  • To introduce a novel method for the automatic generation of both test items and their corresponding rationales.
  • To support the creation of effective feedback mechanisms for computerized formative testing.
  • To demonstrate and evaluate the rationale generation method within the medical education context.

Main Methods:

  • Development of a new computational approach for generating test items.
  • Implementation of a complementary method for automatically generating item-solving rationales.
  • Application and evaluation of the combined generation technique in the medical education domain.

Main Results:

  • Successfully generated test items and their associated rationales.
  • Demonstrated the feasibility of the automated approach for producing necessary components for formative assessment.
  • Provided a validated method applicable to specific educational domains like medical education.

Conclusions:

  • The proposed method offers a scalable solution for the challenge of item bank development in computerized formative testing.
  • Automated generation of both items and rationales can significantly enhance the efficiency and quality of feedback in educational assessments.
  • The approach shows promise for broader application in developing adaptive testing and personalized learning systems.