System and method for data anomaly detection process in assessments
A method, computer program product, and computer system for detecting cheating in an assessment. Brainwaves of a user are identified. An attention level of the user is determined with the identified brainwaves. The attention level of the user is analyzed. An action of the user is classified as a cheating event using the analyzed attention level of the user.
1. A computer-implemented method executed by a processor comprising:
identifying brainwaves of a user;
determining an attention level of the user with the identified brainwaves;
analyzing the attention level of the user; and
classifying an action of the user as a cheating event using the analyzed attention level of the user.
2. The computer-implemented method of claim 1 wherein analyzing the attention level of the user includes comparing the attention level of the user with a second attention level, wherein the second attention level is from at least one of the user and a second user.
3. The computer-implemented method of claim 1 wherein analyzing the attention level of the user includes comparing the attention level of the user with a difficulty level of the action of the user.
4. The computer-implemented method of claim 3 wherein analyzing the attention level of the user further includes comparing an amount of time spent by the user to perform the action with the difficulty level of the action.
5. The computer-implemented method of claim 1 wherein analyzing the attention level of the user includes:
identifying the action of the user as requiring the attention level of the user to reach a threshold attention level; and
determining that the attention level of the user is less than the threshold attention level for the action of the user.
6. The computer-implemented method of claim 1 wherein the action of the user includes answering one or more questions.
7. The computer-implemented method of claim 1 further comprising providing an alert of the cheating event to at least one of the user and a second user.
8. A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
identifying brainwaves of a user;
determining an attention level of the user with the identified brainwaves;
analyzing the attention level of the user; and
classifying an action of the user as a cheating event using the analyzed attention level of the user.
9. The computer program product of claim 8 wherein analyzing the attention level of the user includes comparing the attention level of the user with a second attention level, wherein the second attention level is from at least one of the user and a second user.
10. The computer program product of claim 8 wherein analyzing the attention level of the user includes comparing the attention level of the user with a difficulty level of the action of the user.
11. The computer program product of claim 10 wherein analyzing the attention level of the user further includes comparing an amount of time spent by the user to perform the action with the difficulty level of the action.
12. The computer program product of claim 8 wherein analyzing the attention level of the user includes:
identifying the action of the user as requiring the attention level of the user to reach a threshold attention level; and
determining that the attention level of the user is less than the threshold attention level for the action of the user.
13. The computer program product of claim 8 wherein the action of the user includes answering one or more questions.
14. The computer program product of claim 8 further comprising providing an alert of the cheating event to at least one of the user and a second user.
15. A computing system including a processor and memory configured to perform operations comprising:
identifying brainwaves of a user;
determining an attention level of the user with the identified brainwaves;
analyzing the attention level of the user; and
classifying an action of the user as a cheating event using the analyzed attention level of the user.
16. The computing system of claim 15 wherein analyzing the attention level of the user includes comparing the attention level of the user with a second attention level, wherein the second attention level is from at least one of the user and a second user.
17. The computing system of claim 15 wherein analyzing the attention level of the user includes comparing the attention level of the user with a difficulty level of the action of the user.
18. The computing system of claim 17 wherein analyzing the attention level of the user further includes comparing an amount of time spent by the user to perform the action with the difficulty level of the action.
19. The computing system of claim 15 wherein analyzing the attention level of the user includes:
identifying the action of the user as requiring the attention level of the user to reach a threshold attention level; and
determining that the attention level of the user is less than the threshold attention level for the action of the user.
20. The computing system of claim 15 wherein the action of the user includes answering one or more questions.
21. The computing system of claim 15 further comprising providing an alert of the cheating event to at least one of the user and a second user.