this post was submitted on 07 Mar 2024
38 points (89.6% liked)

Tech

415 readers
12 users here now

A community for high quality news and discussion around technological advancements and changes

Things that fit:

Things that don't fit

Community Wiki

founded 7 months ago
MODERATORS
[email protected]
38
Some teachers are now using ChatGPT to grade papers (arstechnica.com)
submitted 6 months ago by [email protected] to c/[email protected]
16 comments fedilink hide all child comments
 

In a notable shift toward sanctioned use of AI in schools, some educators in grades 3โ€“12 are now using a ChatGPT-powered grading tool called Writable, reports Axios. The tool, acquired last summer by Houghton Mifflin Harcourt, is designed to streamline the grading process, potentially offering time-saving benefits for teachers. But is it a good idea to outsource critical feedback to a machine?

Writable lets teachers submit student essays for analysis by ChatGPT, which then provides commentary and observations on the work. The AI-generated feedback goes to teacher review before being passed on to students so that a human remains in the loop.

"Make feedback more actionable with AI suggestions delivered to teachers as the writing happens," Writable promises on its AI website. "Target specific areas for improvement with powerful, rubric-aligned comments, and save grading time with AI-generated draft scores." The service also provides AI-written writing prompt suggestions: "Input any topic and instantly receive unique prompts that engage students and are tailored to your classroom needs."

you are viewing a single comment's thread
view the rest of the comments
[โ€“] [email protected] 3 points 6 months ago* (last edited 6 months ago)

AI =/= LLMs. AI are neural networks that are modeled after the human brain in every capacity possible on a current computers. Neural networks can be trained on text to create LLMs. They can be trained on photos to create image generators like stable diffusion. They can be trained on audio to speak exactly like someone or generate music. They can be put into control loops the learn movements for robots like boston dynamics. Neural networks are just small(for now) brains trained to do one thing.

We can already combine these to do pretty crazy things, they're only going to get more powerful, more efficient, more integrated, and more capable. AGI Singularity will happen, and probably sooner than we think.