Automatic item generation for passage-based assessment
AssigneeAct, Inc.
InventorRICHARD D. MEISNER
Life of this patent
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Abstract
A computer-implemented method for automatic item generation in an digital examination that includes obtaining a first string of text, the first string of text being organized based on a linguistic context, selecting a first textual term from the first string of text, identifying a first set of linguistic characteristics corresponding to the first textual term, obtaining a second textual term exhibiting at least one linguistic characteristic that is different from any linguistic characteristic of the first set of linguistic characteristics, and generating a second string of text by replacing the first textual term in the first string of text with the second textual term.
Claims24
A computer implemented method of passage-based automated item generation in an digital examination, the method comprising:
- obtaining a first string of text, the first string of text being organized based on a linguistic context;
- selecting a first textual term from the first string of text;
- identifying a first set of linguistic characteristics corresponding to the first textual term;
- obtaining a second textual term exhibiting at least one linguistic characteristic that is different from any linguistic characteristic of the first set of linguistic characteristics;
- and
- generating a second string of text by replacing the first textual term in the first string of text with the second textual term.
A system for generating items in an digital examination, the system comprising:
- a data store, a graphical user interface, and an item generation logical circuit, wherein the item generation logical circuit comprises a processor and a non-transitory memory with computer executable instructions embedded thereon, the computer executable instructions configured to cause the processor to:
- obtain a first string of text, the first string of text being organized based on a linguistic context;
- select a first textual term from the first string of text;
- identify a first set of linguistic characteristics corresponding to the first textual term;
- obtain a second textual term exhibiting at least one linguistic characteristic that is different from any linguistic characteristic of the first set of linguistic characteristics;
- and
- generate a second string of text by replacing the first textual term in the first string of text with the second textual term.
Dependencies are inferred from the claim text.