Media mention: Zhai quoted in Earth.com
Xiaoming Zhai, an associate professor in the Department of Mathematics, Science, and Social Studies Education and director of the AI4STEM Education Center, was quoted about a new study on the use of artificial intelligence tools for grading.
The study compared grading by a type of AI called a large language model (LLM) with human graders and found that LLM grades quickly but relies on shortcuts.
“Students could mention a temperature increase, and the large language model interprets that all students understand the particles are moving faster when temperatures rise,” Zhai explained. “But based upon the student writing, as a human, we’re not able to infer whether the students know whether the particles will move faster or not.”