Computerized adaptive test and decision trees: A unifying approach

作者：

Highlights：

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

• It builds an adaptive test with minimum mean square error.

• It reduces the item-selection time to milliseconds.

• It is well suited for simultaneous administration and for on-line testing.

• Opens new research lines combining psychology, statistics and operational research.

摘要

•Tree-CAT, a decision tree-based technique for building CATs is presented.•It builds an adaptive test with minimum mean square error.•It reduces the item-selection time to milliseconds.•It is well suited for simultaneous administration and for on-line testing.•Opens new research lines combining psychology, statistics and operational research.

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

论文评审过程：Received 9 July 2018, Revised 5 September 2018, Accepted 26 September 2018, Available online 27 September 2018, Version of Record 15 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.052