Multimodal OBE examination-answer dataset of 485 scanned submissions with criterion-level rubric marks¶
Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 3 claims rest on one study
Description¶
A restricted research dataset created by Jahangir Alam SM et al. pairing 485 scanned higher-education examination submissions with criterion-level rubric marks and answer metadata for outcome-based education assessment research.
Components¶
Claims¶
- A full answer-level audit confirmed 485 unique identifiers and validated that every stored total equals the sum of its criterion marks [+W]
- The dataset's 12 question templates contain 47 criteria, with question maxima ranging from 5 to 16 marks [+W]
- Subject distribution is uneven, with E-commerce contributing five answers and Machine Learning 88 of 485 [+W]
Related Products and Programmes¶
Key Sources¶
- Jahangir Alam SM, Md Khalid Syfullaha, Saad Ahmed, Munira Akter Mou, A K Z Rasel Rahman, A.K.M. Masudur Rahman, Mohammed Sowket Ali. (2026). Multimodal examination answer data with expert-designed Outcome-Based Education rubrics for criterion-level assessment. arXiv. https://arxiv.org/abs/2608.22346
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
multimodal-obe-examination-answer-dataset-of-485-scanned-submissions-with-criterion-level |
title |
Multimodal OBE examination-answer dataset of 485 scanned submissions with criterion-level rubric marks |
description |
A restricted research dataset created by Jahangir Alam SM et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.