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New dataset released for multimodal exam answer assessment

By PulseAugur Editorial · [1 sources] ·

A new dataset has been released on arXiv, featuring multimodal examination answers from 415 students across four institutions. This collection includes 485 scanned submissions, complete with expert-designed Outcome-Based Education (OBE) rubrics. The data encompasses nine subjects and 12 question templates, with rubrics detailing 47 criteria. The scans present realistic academic content such as handwriting, equations, and diagrams, varying in quality due to different scanning methods. This dataset is intended to support research in rubric-aware automated evaluation, multimodal document understanding, and privacy-aware OBE assessment. AI

IMPACT This dataset could advance research in automated grading and multimodal document understanding for educational purposes.

RANK_REASON The cluster contains a research paper detailing a new dataset for academic assessment. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset released for multimodal exam answer assessment

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The cluster contains a research paper detailing a new dataset for academic assessment. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jahangir Alam SM, Md Khalid Syfullah, Saad Ahmed, Munira Akter Mou, A K Z Rasel Rahman, A. K. M. Masudur Rahman, Mohammed Sowket Ali ·

    Multimodal examination answer data with expert-designed Outcome-Based Education rubrics for criterion-level assessment

    arXiv:2608.22346v1 Announce Type: cross Abstract: This data article describes a multimodal collection of scanned examination answers paired with expert-designed Outcome-Based Education (OBE) grading metadata. The collection contains 485 answer submissions from 415 consenting stud…

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