IP Library › Granted Patent US 12,400,555
Granted Patent B2
US 12,400,555 · App. 18/472,481 · Granted Aug 26, 2025

System and method for detecting academic dishonesty and initiating corrective/disciplinary actions

Inventor: Clay Cross (Fulton, MD)
Assignee: CHIRON PROPERTIES, LLC
G09B7/00G06F21/64
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,400,555
App. No.
18/472,481
Granted
Aug 26, 2025
Kind
B2
Abstract

Disclosed is a system and method for detecting academic dishonesty and initiating corrective or disciplinary actions is presented. The present invention relates to a method of detecting academic dishonesty and initiating corrective or disciplinary actions. The invention is particularly suited for practical examinations where a student or other person being tested, i.e., any test taker, is tasked with solving a problem which, when solved correctly, gives the student access to a “flag value” (an answer) that the student discovers/finds and submits as his or her “student response.” In this application the terms “student” and “test-taker” are used interchangeably. If the student submits the correct student response they are identified as having solved the problem, whereas if they do not submit the correct response (either by submitting no response or by submitting an incorrect response) they are identified as having failed to solve the problem.

Claims (22)

1. A method of detecting academic dishonesty in connection with a practical examination, comprising:

presenting, to a plurality of test takers, a problem requiring a completion of a task, whereby if a test taker from the plurality of test takers successfully completes the task, the test taker discovers a flag value from a plurality of flag values;

transmitting, from each test taker from the of said plurality of test takers, the plurality of flag values to an assessment system, each of the plurality of test takers operating in an isolated network from a plurality of isolated networks;

analyzing, via the assessment system, the plurality of flag values to determine, via shared secrets and without communicating with the plurality of isolated network, duplicate flag values from the plurality of flag values, the duplicate flag values indicating that different test takers were operating in the same isolated network and that academic dishonesty has occurred.

2. A method of detecting academic dishonesty in connection with a practical examination, comprising:

executing a set of instructions to generate a plurality of unique flag values;

populating a test platform with the plurality of unique flag values such that completion of a task by a test taker from the plurality of test takers reveals a unique flag value from the plurality of unique flag values to the test taker, the plurality of test takers operating on a plurality of isolated networks;

presenting, to the plurality of test takers, a problem requiring the completion of the task, whereby if the test taker successfully completes the task, that test taker discovers a flag value from the plurality of unique flag values, the flag value associated with the completion of the task and an isolated network from the plurality of isolated networks that the test taker completed the task in;

receiving, from the plurality of test takers, a plurality of flag values in response to the completion of the task;

determining, via shared secrets and without communicating with the plurality of isolated network, duplicate flag values from the plurality of flag values, the duplicate flag values received from different test takers indicating that different test takers were operating in the same isolated network and that academic dishonesty has occurred; and

generating a corrective action to identify the isolated network associated with the duplicate flag values from the different test takers.

3. A system for detecting academic dishonesty in connection with a practical examination, comprising:

a test platform including a first processor and a first input device;

an assessment system in communication with, but physically isolated from, the test platform, the assessment system including a second processor and a second input device;

wherein the second processor is configured to:

create a plurality of unique flag values;

populate the test platform with the plurality of unique flag values such that a completion of a task by a test taker from a plurality of test takers reveals a unique flag value from the plurality of flag values to the test taker; and

present, to the plurality of test takers, a problem requiring the completion of the task, whereby if the test taker successfully completes the task, the test taker discovers the unique flag value associated with the completion of the task and an isolated network from a plurality of isolated networks the test taker completed the task in;

wherein the first processor is configured to:

enable submission, by each test taker from the plurality of test takers, of the discovered unique flag value from the plurality of unique flag values to the assessment system; and

wherein the assessment system is configured to:

analyze the submitted unique flag values to determine, via shared secrets, submission of two identical flag values by two different test takers.

Continuity (2)
Provisional Application 63409292 · Sep 23, 2022
Related Publication 20240105073A1 · Mar 28, 2024
References Cited (9)
US 11417339B1 · Wang et al. · 2022 [cited by applicant]
US 20170039869A1 · Gleim et al. · 2017 [cited by applicant]
US 20180061254A1 · Amigud · 2018 [cited by applicant]
US 20180232830A1 · Dorenkamp · 2018 [cited by examiner]
US 20200279223A1 · Sarab · 2020 [cited by examiner]
US 20220114901A1 · Biggin et al. · 2022 [cited by applicant]
US 20240038047A1 · Schmid · 2024 [cited by examiner]
CN 109165040A · 2019 [cited by applicant]
CN 112116505A · 2020 [cited by applicant]