Collaborative Filtering Item Selection Methods for On-the-Fly Assembled Multistage Adaptive Testing

• Author / Creator

  Xiao, Jiaying

• An important issue in the design and implementation of adaptive testing is the use of an appropriate item selection method. This study employed Collaborative Filtering (CF) methods for selecting items under on-the-fly assembled multistage adaptive testing (OMST) framework. Traditional item selection methods were compared to CF methods concerning the accuracy of ability estimation and item bank utilization. The simulation results indicated that CF item selection methods were comparable to traditional item selection methods (Maximum Fisher Information and a-stratification) for ability estimates. Furthermore, CF methods indicated more superior performance in terms of item bank utilization. Limitations for the current study, as well as directions for future research, are discussed.

• Subjects / Keywords

  • test security
  • adaptive testing
  • collaborative filtering
  • item selection

• Graduation date

  Fall 2019

• Type of Item

  Thesis

• Degree

  Master of Education

• DOI

  https://doi.org/10.7939/r3-xdkt-5t77

• License

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