ML Powered Behavioral Reports in Online Proctoring
This research focuses on solving the reporting problem in online proctoring platforms by introducing “behavioral reports” from data collected during an online test. We propose a Machine Learning and artificial intelligence-powered “clarity” report module. A state-of-the-art reporting module that generates behavioral patterns that will help employers make unbiased and informed decisions. Reveal to educators their students’ strengths and weaknesses as well. The behavioral report will be paired with student performance data to help the employer/educators make smarter decisions.
Intern:
Isaac Osigwe Uloko
Faculty Supervisor:
Jonathan Anderson
Province:
NL
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