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December 15th, 2020

Remote Proctoring For Online Examination Using Ai


Digital transformation in the education sector has reached new heights amidst the ongoing pandemic crisis globally. For universities and educational institutions, it has become a necessity to deploy solutions to conduct examinations and assessments remotely.

It is indeed a challenge for them to do online assessments without compromising on the security, feasibility, convenience, and authenticity of educators as well as students.

Subsequently, the concept of remote proctoring is garnering attention more than ever now.

Defining remote proctoring

Remote proctoring refers to the process of authenticating, authorising, and controlling online assessment tests. It enables instructors to conduct online assessments and examinations in a remote environment without compromising the integrity of exams.

Online proctoring enables end to end monitoring of the exam through the web camera of the candidate. It records the exam process from the start to the end, including the chat logs, screen, images, etc. Online proctoring offers numerous advantages over traditional invigilation processes when combined with AI-based technologies.

Different types of remote proctoring

Depending on the internet connectivity and scope of the examination, remote proctoring can be deployed in multiple ways.

  • Video proctoring – The candidate will be monitored throughout the entire exam via continuous video streaming activity. The invigilator can shut down the exam in case of any cheating or unfair activity from the candidate.
  • Image proctoring – The system will capture images of the candidate at specific intervals during the exam and thus determine any malpractices conducted. It is the best-suited online proctoring option if internet connectivity is unstable.
  • Auto proctoring – It automatically monitors and analyses the activities of the student during the exam. It can identify students involved in malpractices without any manual intervention. It uses AI-based technologies for the automatic detection of fraud activities.
  • Candidate identity verification – It is deployed to identify the candidate before the start of an exam. It verifies the identity card of the candidate by capturing the image through a webcam.

AI in remote proctoring

The use of artificial intelligence technologies has further improved the efficiency of the remote proctoring process for examinations. AI technologies continuously learn, adapt, and get smarter after each remotely proctored exam.

There are three key areas where AI benefits remote proctoring.

  • To detect identity fraud
  • To recognize cheating behaviour
  • To discover content threat

What are the AI-based technologies used in remote proctoring?

AI-based remote proctoring and invigilation technologies can be deployed to conduct all kinds of examinations and assessments. Listed below are various AI-based technologies used to improve the efficiency of remote proctoring.

Pattern recognition:- As you know, pattern recognition is the process of recognizing patterns automatically using machine learning algorithms. The same technology can be deployed to detect patterns that hint at an act of cheating during exams. It can identify patterns based on the available data or statistical information collected previously.

Facial recognition:- Face recognition technology can be used in multiple ways while conducting exams in a remote environment. It is capable of identifying or verifying a face through facial patterns and data. It can detect other faces present in the testing environment. Identity verification of the candidate is another area where facial recognition helps.

Voice recognition:- This technology helps to pick up sounds and verify them against the background noise to detect instances of cheating. It can automatically detect the sounds and recognize the speech patterns in the testing environment.

Detection of eye movements:- This technology helps to detect the eye movement patterns of the candidate. It can detect if the eye movement pattern of the candidate diverts from the screen or gazes repeatedly to mobile phones, books, or any other objects.

Object detection:- By using object detection technology, the system can detect the objects present in the testing environment. Also, the remote proctoring software can understand the physical environment of the candidate using plane detection technology.

Advantages of using AI-based remote proctoring

The use of AI-based remote proctoring and invigilation technologies mainly improves the authenticity of the exam conducted in a remote environment. Here are some of the significant advantages that AI-based remote proctoring offers.

Better accuracy:- AI technologies are capable of detecting suspicious activities better than how human eyes do it in real-time. It generates alerts for anything that hints at malpractices or cheating during the exam. Thus it can lead to improved accuracy in candidature assessments.

Improved security:- The system can take immediate action against the candidate in case of any malpractice or cheating activity. It helps to improve the credibility and security of online examinations.

Better scalability:- As the accuracy of assessment improves, the remote proctoring software becomes more efficient in recognizing patterns leading to malpractices. Thus it is capable of providing additional security similar to human proctors.

Cost-effective:- AI-based remote proctoring is a cost-effective option when compared with the expenses incurred in logistics, administration, and human resources to conduct examinations in the conventional format. The need for human intervention for conducting online exams can be reduced drastically with smarter AI-based technologies.

Smarter and intelligent:- The accuracy of AI-based remote proctoring improves further when it garners more data points. Thus the system becomes smarter and works perfectly through repetitive proctoring.

Bottom Line

There are various benefits of deploying AI-based remote proctoring and invigilation technologies for conducting online examinations. However, there are a few challenges that institutions face while enabling online proctoring exams. It needs many prerequisites like laptop/desktop, stable internet connection, and other accessories such as speakers, webcam, microphones, and more.

Despite the challenges, AI-based remote proctoring solutions offer a platform for conducting exams in a better and secure manner. It can dramatically improve the authenticity of online exams and prevent candidates from indulging in malpractices.

Given the COVID-19 outbreak, more educational institutions are now compelled to conduct online examinations, and remote proctoring using AI-based technologies can be hugely beneficial for them. Organizations can also take advantage of such technologies for conducting seamless employee assessment tests.

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