Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: A method and system is disclosed for confirming the identity of students taking an exam online. A camera or similar device compares the image of a student to a known and verified Reference Image to confirm the identity of the student. Using data analysis on answers during the exam coupled with both the uniqueness of the browser used and the location of taking the online exam, provides information on whether the student may have been obtaining help from others. The result is identifying students who are cheating, colluding, or conspiring to falsify test scores.

Abstract: A method and system is disclosed for confirming the identity of students taking an exam online. A camera or similar device compares the image of a student to a known and verified Reference Image to confirm the identity of the student. Using data analysis on answers during the exam coupled with both the uniqueness of the browser used and the location of taking the online exam, provides information on whether the student may have been obtaining help from others. The result is identifying students who are cheating, colluding, or conspiring to falsify test scores.

Abstract: A method and system is disclosed for validating honesty of a student taking an online test. A camera is used to detect and monitor the test taker's eye movements and eye gaze positions during the taking of the test to ensure the test taker is looking only at the computer display showing the questions and answer choices to the test taker. A microphone is incorporated into, placed on, or in the vicinity of the computer display and the system compares audio received to recorded voice of the test taker to detect another voice. Other voices and eye movement beyond the display screen may be flagged as indicative of dishonest test taking.

Abstract: A method and system is disclosed for confirming the identity of students taking an exam online. A camera or similar device compares the image of a student to a known and verified Reference Image to confirm the identity of the student. Using data analysis on answers during the exam coupled with both the uniqueness of the browser used and the location of taking the online exam, provides information on whether the student may have been obtaining help from others. The result is identifying students who are cheating, colluding, or conspiring to falsify test scores.