“You’re only as good as your data set,” Ng said.Īutomated essay grading software has been employed at other institutions, such as Harvard University and the Massachusetts Institute of Technology, to grade student submissions in open-access online courses, which often have enrollments in the thousands. If the data set contains biased grading, then AI incorporates the bias, too. Feeding examples, however, can propagate error. Ng said it is necessary to teach AI software how to grade by feeding it examples - in this case, essays graded by other humans. “A robot would put a standard on the grading system.”Īrtificial intelligence systems are modeled on the human brain. “I sometimes felt like there was injustice, like maybe the grade depended on the mood of the grader,” Zeito said. “Everyone grades a little subjectively.”īiology junior Sania Zeito, who recently transferred to UT Dallas, said she felt there was a lack of objectivity when it came to grading standards at her previous university in Dubai. I let them do a lot of the technical work, like inputting grades and marking quizzes, because I want to stay consistent with the actual grading,” she said. “I don’t let the TAs grade the research papers. The objectivity of grading software powered by artificial intelligence is a big draw for Ketsler, who said she doesn’t like to rely on teaching assistants to grade everything. Ketsler said more diverse classrooms can make for interesting discussions but creates a demand for grading that takes each student’s background into account. “The bigger the class size, the more disparity you’re going to see between each student’s knowledge,” she said. ![]() Ketsler, who has been at UT Dallas for 11 years, said she’s witnessed a lot of growth, changing the way she has to approach teaching, including reducing the number of written assignments as her class sizes grew. “But I also want them to get some detail, some data.”įor Ketsler, that means written quizzes, regular writing assignments and three major research papers, each with a minimum of seven pages. “I do have tests that are multiple choice, because I do have to control my workload somehow,” Ketsler said. She said in her field it can be difficult to assess knowledge using only scantrons. Luba Ketsler, a UT Dallas economics professor, has a total of 449 students in her classes, in addition to a handful of research students. The labs focus on different aspects of natural speech, including essay grading. The Human Language Technology Research Institute consists of eight separate laboratories, each headed by a faculty member. Higher levels would evaluate coherence and overall organization, and even higher, the overall persuasiveness of an essay. ![]() Lower levels might deal with spelling and grammar. ![]() The software, he said, will read blocks of text and parse certain pieces of information. Grading essays requires an enormous amount of human labor, and these are hours that can be spent elsewhere in the classroom.” “For one, it has a lot of commercial value. “Essay grading is one of the very important applications of natural language processing,” Ng said. Ng said the goal of the technology is to remove the need for human graders altogether. Vincent Ng, a computer science professor who works with UT Dallas Human Language Technology Research Institute, is developing an automated grading system for longform essays. For professors struggling to cope with stacks of papers to grade, new software - developed by a UT Dallas researcher and powered by artificial intelligence - may offer a long-term solution.ĭr.
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