Search Results for author:
Found 2 papers, 0 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.
The effects of data size on Automated Essay Scoring engines
We study the effects of data size and quality on the performance on Automated Essay Scoring (AES) engines that are designed in accordance with three different paradigms; A frequency and hand-crafted feature-based model, a recurrent neural network model, and a pretrained transformer-based language model that is fine-tuned for classification.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
