Semi-Automated Exam Grading with Distinction Markers
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Solution Overview
Problem
Manual grading of long answer exams is tedious and prone to fatigue, inconsistency, and reduced accuracy, necessitating a more efficient and transparent evaluation process that leverages both human oversight and computational capabilities.
Innovation Solution
A semi-automated exam grading system that uses a computer system to identify constructs in model answers and evaluate examinee responses, providing graded sheets with distinction markers for priority levels, while allowing human evaluators to review and adjust automated assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual grading is used, then human evaluators can provide nuanced assessment, but evaluator fatigue reduces accuracy and consistency
Solution Approach 1:
The patent segments the grading process into distinct phases: automated construct identification and scoring, followed by human evaluator review of specific portions. This segmentation allows the system to leverage computational consistency for initial assessment while preserving human judgment for nuanced evaluation, thereby maintaining both accuracy and reliability throughout the grading process.
Solution Approach 2:
The automated grading system serves as an intermediary between the examinee answers and human evaluators. It processes answers through construct identification and generates preliminary scores, which then inform human reviewer decisions. This intermediary role reduces evaluator fatigue by handling routine assessment tasks while maintaining grading consistency through standardized automated procedures.
2Productivity
If automated grading is used, then grading speed increases, but transparency and understanding of evaluation criteria decrease
Solution Approach 1:
The system provides feedback to human evaluators by presenting automated scores and construct identification results as informational guidance during the review process. This feedback mechanism maintains transparency by showing evaluators the computational basis for preliminary assessments, allowing them to understand and adjust scores based on nuanced judgment while preserving grading speed through standardized evaluation criteria.
3Loss of time
If complete automated grading is implemented, then evaluator time is reduced, but handling of nuanced answers and edge cases becomes difficult
Solution Approach 1:
The patent implements partial automation where the computer system performs construct identification and initial scoring, but human evaluators conduct final review and adjustment. This partial action approach reduces evaluator time by automating routine tasks while preserving human capability for handling nuanced answers and edge cases that require adaptive judgment.
4Adaptability or versatility
If manual grading is used, then handling of nuanced answers is possible, but the process is tedious and prone to fatigue
Solution Approach 1:
The grading process is segmented into automated construct identification and human evaluator review phases. This segmentation improves ease of operation by allowing evaluators to focus specifically on nuanced answer assessment rather than performing complete manual grading, thereby maintaining adaptability while reducing fatigue and improving overall process efficiency.
Data Source
AI summary
A method, computer system, and a computer program product for semi-automated exam grading are provided. An exam that includes a question is received. A model answer to the question is received. The model answer includes an essay form. A computer system identifies constructs in the model answer. An examinee answer sheet that includes an examinee answer to the question is received. The computer system grades the examinee answer of the examinee answer sheet based on the constructs of the model answer. The computer system presents the graded examinee answer sheet to an evaluator for review. The graded examinee answer sheet includes one or more distinction markers along with the examinee answer. The one or more distinction markers indicate respective priority levels of corresponding portions of the examinee answer.