Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees

作者：

Highlights：

• Merged Tree-CAT, a decision tree-based technique for building CATs is introduced.

• The tree growth is controlled by merging branches with similar trait distributions.

• It builds an adaptive test in a few seconds with high precision.

• It can be implemented in any personal computer.

摘要

•Merged Tree-CAT, a decision tree-based technique for building CATs is introduced.•The tree growth is controlled by merging branches with similar trait distributions.•It builds an adaptive test in a few seconds with high precision.•It can be implemented in any personal computer.

论文关键词：Computerized adaptive tests,Decision trees,Linear programming

论文评审过程：Received 6 August 2019, Revised 12 October 2019, Accepted 27 October 2019, Available online 28 October 2019, Version of Record 5 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113066