Indiana First With Computerized Grading 524
Mz6 writes "Computerized grading has been talked about previously, however, the New York Times reports that Indiana has become the first state to grade high school English essays by computer. The computerized grading process, called 'e-rater', uses a 6-point rating scale and uses artificial intelligence to 'mimic the grading process of human readers'. The system was tested over a 2-year pilot program and produced results virtually identical to those of trained readers. The big question is, will other states begin to emulate Indiana by tossing human grading?"
From the web site. (Score:4, Informative)
Submit "and" essay? I guess they haven't run the software on themselves.
F.
Re:I would have loved this is a kid (Score:4, Informative)
As someone procrastinating grading right now... (Score:5, Informative)
But I think that if a computer grading program which is no worse than humans could be devised, it would be a great learning tool. A lot of people make it to college as borderline illiterates. I'm not kidding. I read a lot of their crap. That's because their HS teachers were too overworked to grade their writing, so they didn't assign much. If a computer program could auto-grade and give detailed comments on how to improve the writing, high school students could be assigned an essay per week, and really get the hang of writing well. Teachers could focus on teaching instead of tedium.
Sure, the first grading applications are going to make a few serious errors. This is the first stage of every application when a computer is asked to interpret rich data. Early voice recognition sucked. Now it sucks much less, and it will just keep getting better. Same with OCR, chess software, machine translation, etc. So the right debate to have is about when this will be good enough for school use, and not whether. I'm prepared to admit that the answer to the right question is "not yet" (I'm sure how deep the current problems go), but I fully support working on this system until it works right.
I took this test (Score:5, Informative)
I almost wimped out. I wrote about 80 percent of the essay (about influence of pop-culture on society - and silly me I always thought society influences pop-culture but anyway). I had 5 paragraphs - 1 intro, 3 body - 1 half-assed conclusion. I reoreded the paragraphs, copied the one I felt was the best written and pasted it into the body 3 times.
Guess what I got.....6/6 (six point grading scale which is pretty messed up because a 5/6 is an 83%). Hopefully they won't audit mine....
Re:I would have loved this is a kid (Score:3, Informative)
Regards,
Steve
Re:I would have loved this is a kid (Score:3, Informative)
It's not a baysian filter, it's Latent Semantic Analysis. LSA works by taking large amounts of text, and comparing the usage and application of the words within paragraphs. It learns very quickly what words mean, and the interesting thing is, that once it's trained far enough, it starts gaining more meaning to its words by where they're not, than by where they are.
LSA has been put through a variety of tests. And has taken tests even. LSA has been shown to produce "average" results on a synonym test. ("A Doctor is: A) Nurse, B) Practitioner, C) Politician, D) Numerologist") Producing incorrect results mainly only when one word given is more associated (strongly linked) to the word than another more suitable word. Such as in my example, it would pick "Nurse" not "Practitioner" because it's seen Nurse used more often with Doctor.
LSA has been seriously tested by the designers to see if they could write a bad essay that gets a good grade. The answer? Yes, it's possible. But you have to REALLY know the subject well, (as you'd have to produce garbage that relates words accurately between each other) and a lot of time.
The recommended the best way to cheat the system, was to do your research, know your topic, and... write a good essay. Any other way requires too much effort, and a vastly superior knowledge of the subject.
Interesting is that this system can identify plagarism, give it two papers, and it looks how closely the papers match. This gets not just exact copies, but also paraphrased plagarism. The system doesn't really care what the words are, as it looks at their similarity. It could tell that "The doctor studied the patient." is just paraphrased "The practitioner examined his customer."
If train it right, it will even do this between two languages. It's also useful as a spam detector, as it will get "Enlarge your member" from just one marked "Make your dick bigger."
(So, I was told from the professor, Apple's Mail.app is supposed to use LSA)
For any interested. The professor at New Mexico State University was Peter Foltz, and some college up in Colorado was doing a lot of work on it also.