Source Link
Excerpt:
A new study suggests that AI could speed up the grading process for teachers, but it may sacrifice some accuracy in the process.
Many states have adopted the Next Generation Science Standards, which emphasize the importance of argumentation, investigation, and data analysis. But teachers following the curriculum face challenges when it’s time to grade students’ work.
“Asking kids to draw a model, to write an explanation, to argue with each other are very complex tasks,” says Xiaoming Zhai, corresponding author of the study and an associate professor and director of AI4STEM Education Center in University of Georgia’s Mary Frances Early College of Education.
“Teachers often don’t have enough time to score all the students’ responses, which means students will not be able to receive timely feedback.”
The study explored how Large Language Models grade students’ work compared to humans. LLMs are a type of AI that are trained using a large amount of information, usually from the internet. They use that data to “understand” and generate human language.
.jpg%2F500px-Donald_Trump_(53953173435).jpg&f=1&nofb=1&ipt=1eb09485c9f1cd57919082677e15526c735bd86eb8152493e737ff4709ce030d)
