Advanced methods in automatic item generation /

Bibliographic Details
Main Authors: Gierl, Mark J. (Author), Lai, Hollis (Author), Tanygin, Vasily (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: New York, NY : Routledge, 2021.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction : the changing context of educational testing
  • Cognitive model development : cognitive models and item generation
  • Item model development : template-based AIG using item modelling
  • Item generation : approaches for generating test items
  • Distractor generation : the importance of the selected-response item in educational testing
  • Putting it all together to generate test items : overview
  • Methods for validating generated items : a focus on model-level outcomes
  • Content coding : challenges inherent to managing generated items in a bank
  • Generating alternative item types using auxiliary information : expanding the expression of generated items
  • Rationale generation : creating rationales as part of the generation process
  • Multilingual item generation : beyond monolingual item development
  • Conclusions and future direction.