A system and method for maintaining academic integrity in the learning environment, based on behavioral pattern analysis of learner-produced content; wherein the behavioral patterns in learner-produced artifacts are compared to the known, previously acquired data and/or modeled behavioral data in order to continuously and/or on-demand estimate the probability of learner identity and the veracity of authorship of the academic work. The system and method optionally combines with mature and novel algorithms to perform content-level analyses such as plagiarism and collusion detection, authorship identification, and student profile-level analyses such as prediction of future performance.
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