Short answer and writing task assessment systems all enjoy the AI-assisted grading program.
"Proctor" is an artificially intelligent teaching assistant. Proctor has many functions at this site: it monitors and records what students do as they navigate the site, it maintains security as students take assessments, and it can be trained to help you grade expository or informational student writing samples. How does it work? Proctor analyzes a student writing sample and compares it to a "corpus" of model texts. These represent full credit responses. I always write the first one, then I select several samples from the class which represent full credit variations and I add those to the corpus as well. Proctor compares text features such as word count, text sophistication / readability, n-grams, presence of proper nouns, number of sentences, etc. If the corpus has more than one model, then Proctor first selects the model that is most similar to the student's sample and scores based on that comparison. In the short answer test application, Proctor remembers partial credit awarded by the teacher and suggests that score when another student's response is sufficiently similar to the previously scored partial credit response.