Exam proctoring is nothing new, technology has existed for years to block access to defined websites or locking down systems so a user can’t access restricted information. However, the pandemic and the disruption caused has driven a growing number of students to remote learning and the existing exam proctoring solutions haven’t kept pace with the shift in education dynamics.
More students are now online from home, a digital divide causing those with low bandwidth connections or low performance computers to get left behind their more affluent peers. The existing exam proctoring solutions often fail the students exam if the internet connection drops or have defined policies which auto-fail the student. This can’t be the future of remote exams.
At Mona Lisa, as part of our inclusive culture, we have developed a new approach to exam proctoring, one that both operates in low bandwidth and low compute power environments. A system that enables the teachers or invigilators to make informed decisions on the students actions. Through exam specific configurations we can allow or deny access to individual applications, websites or artificial intelligence advanced features to not only enable remote exams but also to make them efficient to invigilate. Machine learning techniques highlight student performance against the cohort of exam takers giving greater insights into exam performance.
The pandemic has driven great transformations in business working environments and the increase in working from home that will likely be here for some time, will continue to adapt to remote learning even after the pandemic ends and students can return to traditional classrooms. We believe it will evolve and with the right technology allow students to attend and achieve accreditations in remote learning institutions anywhere in the world. Could this be the start of a truly level playing field on global education?
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