System and method for data anomaly detection process in assessments
AssigneeQuestionmark Computing Limited
InventorsEric Shepherd, John Kleeman
Life of this patent
Estimating the term…
Abstract
A method, computer program product, and computer system for identifying at least one attribute of a user. An attention level of the user is determined with the identified at least one attribute. The attention level of the user is analyzed. An action of the user is classified as an attention deficiency event using the analyzed attention level of the user.
Claims25
A computer-implemented method comprising:
- identifying, by at least one computing device of one or more computing devices, at least one attribute of a user;
- determining, by at least one computing device of the one or more computing devices, an attention level of the user with the identified at least one attribute;
- analyzing, by at least one computing device of the one or more computing devices, the attention level of the user;
- and
- classifying, by at least one computing device of the one or more computing devices, an action of the user as an attention deficiency event using the analyzed attention level of the user, wherein the attention deficiency event includes an indication of possible cheating by the user during an assessment.
A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
- identifying at least one attribute of a user;
- determining an attention level of the user with the identified at least one attribute;
- analyzing the attention level of the user;
- and
- classifying an action of the user as an attention deficiency event using the analyzed attention level of the user, wherein the attention deficiency event includes an indication of possible cheating by the user during an assessment.
A computing system including a processor and memory configured to perform operations comprising:
- identifying at least one attribute of a user;
- determining an attention level of the user with the identified at least one attribute;
- analyzing the attention level of the user;
- and
- classifying an action of the user as an attention deficiency event using the analyzed attention level of the user, wherein the attention deficiency event includes an indication of possible cheating by the user during an assessment.
Dependencies are inferred from the claim text.