Online recruitment has gained tremendous importance since the onset of the Covid pandemic. Doubtlessly, organizations have accelerated virtual hiring like never before. But, online recruitment has also raised concerns about candidate cheating and assessment fraud. Thanks to auto proctoring, many of these concerns can be prevented in online recruitment.
The dawn of online recruitment has provided a unique set of challenges to proctors. From cheating to impersonation, candidates are resorting to innumerable dishonest practices during the assessment. Not everyone does cheat, but those who do, do it well!
To make matters worse, a majority of these acts go uncaught in online recruiting assessments. For example, between the end of 2020 to the first half of 2021, Glider Talent Intelligence tracked a 92% increase in fraudulent test-tracking activities.
Further, the AI-enabled proctoring features also reported that 23% of the candidates engaged in some assessment malpractice.
Technological advances have provided challenges and opportunities in online proctoring. At the forefront, the emergence of auto proctoring within the online recruitment and assessment processes has enhanced user experience for both recruiters and candidates. Additionally, as a part of defending assessment security, it has also extensively prevented cheating practices.
Do you know that innumerable researchers and academicians have found a positive relationship between technology and behavior intention? Similarly, many companies are leveraging proctoring technology to secure top talent.
What is Auto Proctoring? It is AI-powered assessment technology that completely monitors candidates on a one-to-one and one-to-many basis, their multimedia, and their environment during online assessments or examinations. The e-assessment method has gained tremendous acceptance in recent times of the global pandemic where everything was done on a remote and online platform.
Compared to online human proctoring, auto proctoring needs very less human intervention. The algorithms are designed to mimic the behavior of a human proctor in order to prevent the likelihood of cheating in assessments. A candidate can take up the assessment anywhere and anytime as long as there is a strong internet connection.
Auto proctoring includes components extracted from various domains like technology, AI, human behavior, NLP, and academics among others.
Here are the components of an auto-proctoring system for detecting real-time cheating behavior as per a research paper:
Auto proctoring is a 360-degree approach, especially in remote and online recruitment.
Video Proctoring: The candidate’s webcam will be used for real-time monitoring and recording of the candidate’s identity, test environment, and other activities. Any potential cheating or fraud is detected, and auto-flagged.
Audio Proctoring: Through the microphone, the candidate’s audio feed is scanned, recorded, and monitored with keen attention to additional noise or voice occurring during the assessment. Any sound that doesn’t conform to test guidelines will be auto-flagged.
Image Proctoring: Live images of the test candidate are captured at regular intervals. Then they are compared against the base image (taken before the assessment) to verify the genuineness. Any abnormality or other person intruding is auto-flagged.
Online recruitment is not just limited to assessments and tests alone. It covers various forms like ATS, cold e-mails, profile data on professional social media like LinkedIn, job portal database, phone screen, and video interviews as well.
Now as a promising job candidate, one must take care of the following in order to avoid violations by the auto-proctoring system:
Auto proctoring is redefining test integrity in online recruitment programs. A comparison between various proctoring platforms tells you how various parameters are considered to prevent cheating from beginning to end.
But how does it work?
Hardware: Webcam and wear cam, microphone capture everything that is happening on an active window screen. The inputs like the candidate’s face, body movements, sound, a proxy, or any other suspicious presence are auto-flagged immediately.
Continuous Monitoring: It assesses the test taker’s surroundings, background, nearby gadgets, and the presence of any other person. Frequent monitoring of such elements gives an estimation of the candidate’s behavior and tests integrity of the proctoring system.
Plagiarism Report: As a powerful anti-plagiarism tool, auto-proctoring verifies a candidate’s coding submissions against similar codes copied from the internet or elsewhere. The comprehensive monitoring report provides details and copy-pasted snippets and submits the same for review.
Audit Trail: Auto-proctoring also records the physical, visual, and acoustic environment of the candidate’s location. Through this, recruiters can analyze and review candidates’ skills, performance, and suspicious activities (if any).
Auto proctoring is one technology that organizations do not want to go away. The AI-based tool helps manage online recruitment with less human interference. Apart from reducing cost-per-hire, auto proctoring plays a key role in attracting quality talent and enhancing employer brand value too.
It is certainly the best tag for “Do More With Less.”