Khái niệm cốt lõi
Using code similarity measures can significantly enhance the accuracy of human grading in programming courses.
Thống kê
Through historical data analysis, we found that grading errors had an RMSE of 7.5 percentage points per problem.
Linear regression showed an R-squared coefficient of 0.947, indicating unbiased errors in grader assignments.
Trích dẫn
"Graders score assignments more accurately when they have recently seen a submission similar to the current submission."
"We propose several algorithms for assigning student submissions to graders to maximize grading accuracy."