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Automated Question Paper Quality Analysis Tool (V2: Question-CO-PO)
Url: https://q-metric-v2.vercel.app/
The Question Paper Quality Analysis Tool for Examination Papers is an intelligent automated system designed to enhance the quality, fairness, and academic integrity of engineering assessments. The system evaluates examination papers for alignment with Bloom’s Taxonomy, module-wise weightage distribution, and Course Outcome (CO) mapping. The system automatically audits question papers for Bloom’s Taxonomy distribution, module-wise weightage balance, Course Outcome (CO) mapping, and CO-PO attainment alignment. Using rule-based analysis and Natural Language Processing (NLP) techniques, it examines programming-oriented questions, identifies their difficulty levels, and verifies the implementation of specified algorithms in code-based questions.
The tool generates a Quality Prediction Score (QPS) based on multiple evaluation parameters, including Bloom’s cognitive levels, module coverage, CO attainment, and CO-PO alignment. It also produces a detailed PDF report containing analytical insights and actionable recommendations for faculty members. By automating the examination review process, the system ensures objective evaluation, improves question paper design, and promotes equitable assessments aligned with curriculum and accreditation requirements.
For feedback, partnerships, collaboration opportunities, or access and usage requests for the Question Paper Quality Analysis (QPQA)Tool for Examination Papers, please contact us at: anantkumarumbarkar@gmail.com
Видео Automated Question Paper Quality Analysis Tool (V2: Question-CO-PO) канала Anant Umbarkar
The Question Paper Quality Analysis Tool for Examination Papers is an intelligent automated system designed to enhance the quality, fairness, and academic integrity of engineering assessments. The system evaluates examination papers for alignment with Bloom’s Taxonomy, module-wise weightage distribution, and Course Outcome (CO) mapping. The system automatically audits question papers for Bloom’s Taxonomy distribution, module-wise weightage balance, Course Outcome (CO) mapping, and CO-PO attainment alignment. Using rule-based analysis and Natural Language Processing (NLP) techniques, it examines programming-oriented questions, identifies their difficulty levels, and verifies the implementation of specified algorithms in code-based questions.
The tool generates a Quality Prediction Score (QPS) based on multiple evaluation parameters, including Bloom’s cognitive levels, module coverage, CO attainment, and CO-PO alignment. It also produces a detailed PDF report containing analytical insights and actionable recommendations for faculty members. By automating the examination review process, the system ensures objective evaluation, improves question paper design, and promotes equitable assessments aligned with curriculum and accreditation requirements.
For feedback, partnerships, collaboration opportunities, or access and usage requests for the Question Paper Quality Analysis (QPQA)Tool for Examination Papers, please contact us at: anantkumarumbarkar@gmail.com
Видео Automated Question Paper Quality Analysis Tool (V2: Question-CO-PO) канала Anant Umbarkar
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29 мая 2026 г. 17:14:51
00:15:21
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