Artificial intelligence software for grading of student problem-solving work
First Claim
1. A method using a computer for grading student work on a problem when the student'"'"'s own steps are shown in detail, said method comprising the following steps executed by said computer:
- creating a reference trace representing a best solution path to said problem;
creating a student trace of the student'"'"'s work, further comprising the steps of;
explicitly tracing the student'"'"'s work by searching for a specific rationale for appending a step to said student trace;
provisionally accepting said step as part of said best solution path, subject to revocation if a better-quality step is later found by a step conflict check;
implicitly tracing the student'"'"'s work to discover implicitly taken unwritten mental steps provided the explicit tracing has failed to justify said step;
appending any remaining untraced steps to said student trace and excluding them from said best solution path;
computing a value of said steps in the student'"'"'s work to form a student value; and
,comparing said student value to a total value of said steps in said reference trace, as a result producing and displaying at least a partial score for said student for said problem.
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Abstract
Described is a method using a computer for grading student work on a problem when the student'"'"'s own steps are shown in detail. A reference trace is created representing a best solution path to the problem. A student trace of the student'"'"'s own work is then created, which involves searching explicitly for a specific rationale for appending a step to the student trace; deeming the step a correct production provided the step was able to be reproduced and marking the step as traced; provisionally accepting the step as part of the best solution path subject to revocation if a better-quality step is later found by a step conflict check; implicitly tracing the student'"'"'s work to discover implicitly taken mental steps provided the explicit tracing has failed to justify the step; appending any remaining untraced steps to the student trace and excluding them from the best solution path; computing a value of the steps in the student'"'"'s work to form a student value; and, comparing the student value to a total value of the steps in the reference trace to obtain a score.
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Citations
12 Claims
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1. A method using a computer for grading student work on a problem when the student'"'"'s own steps are shown in detail, said method comprising the following steps executed by said computer:
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creating a reference trace representing a best solution path to said problem; creating a student trace of the student'"'"'s work, further comprising the steps of; explicitly tracing the student'"'"'s work by searching for a specific rationale for appending a step to said student trace; provisionally accepting said step as part of said best solution path, subject to revocation if a better-quality step is later found by a step conflict check; implicitly tracing the student'"'"'s work to discover implicitly taken unwritten mental steps provided the explicit tracing has failed to justify said step; appending any remaining untraced steps to said student trace and excluding them from said best solution path; computing a value of said steps in the student'"'"'s work to form a student value; and
,comparing said student value to a total value of said steps in said reference trace, as a result producing and displaying at least a partial score for said student for said problem. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer-readable medium for grading student work on a problem when the student'"'"'s own steps are shown in detail, said medium causing a computer to execute the following steps:
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creating a reference trace representing a best solution path to said problem; creating a student trace of the student'"'"'s work, further comprising the steps of; explicitly tracing the student'"'"'s work by searching for a specific rationale for appending a step to said student trace; provisionally accepting said step as part of said best solution path, subject to revocation if a better-quality step is later found by a step conflict check; implicitly tracing the student'"'"'s work to discover implicitly taken unwritten mental steps provided the explicit tracing has failed to justify said step; appending any remaining untraced steps to said student trace and excluding them from said best solution path; computing a value of said steps in the student'"'"'s work to form a student value; and
,comparing said student value to a total value of said steps in said reference trace, as a result producing and displaying at least a partial score for said student for said problem. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification