What are the limitations of automated grading systems?
Automated grading systems can struggle with subjective assessments, context understanding, and nuanced feedback.
Can they accurately assess creative writing?
Not really. They often miss the creativity and depth of thought that human graders can appreciate.
What about multiple-choice questions?
For multiple-choice questions, they are quite effective, but they can't evaluate reasoning behind answers.
Are there any biases in automated grading?
Yes, biases can occur if the algorithms are trained on unrepresentative data, affecting fairness.
How can we improve automated grading systems?
Improving them involves better training data, incorporating human feedback, and enhancing context understanding.
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