Learning Spiral is upgrading its AI-powered proctoring system, UCanAssess, to help universities detect potential cheating during online and blended examinations. As digital assessments become more widespread, institutions face growing challenges in identifying impersonation and other activities that could compromise examination integrity.
UCanAssess is a digital assessment platform developed by Learning Spiral to help universities and colleges conduct secure and reliable examinations. Its AI-powered proctoring feature monitors examination sessions and flags potentially suspicious activities, including impersonation, the use of unauthorised tools and possible external assistance.
The platform is designed to help examination teams identify potential violations and manage assessments across geographically dispersed student populations. By automating aspects of monitoring, it can also reduce the need for invigilators to continuously observe every candidate.
“The beauty of UCanAssess is that it allows us to proctor students through the use of Artificial Intelligence,” said Manish Mohta, Managing Director of Learning Spiral.
AI-driven monitoring can help institutions identify incidents requiring further investigation, particularly when conducting remote examinations or assessments involving large numbers of students. However, automated alerts should not be treated as conclusive evidence of malpractice. Human reviewers must assess flagged activities in context before determining whether a violation has occurred.
Learning Spiral’s upgrade aims to strengthen UCanAssess’s ability to identify emerging forms of suspicious behaviour while retaining human oversight in the review process. The approach is intended to help educational institutions improve examination monitoring, promote fairness and safeguard the credibility of digital assessment results.