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Found 3 papers, 1 papers with code
Using Language Models to Detect Alarming Student Responses
This article details the advances made to a system that uses artificial intelligence to identify alarming student responses.
Language models and Automated Essay Scoring
In this paper, we present a new comparative study on automatic essay scoring (AES).
Neural network approach to classifying alarming student responses to online assessment
Given the anomalous nature of these types of responses, our goal is to maximize the chance of flagging these responses for review given the constraint that only a fixed percentage of responses can viably be assessed by a team of reviewers.
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