Subject distribution is uneven, with E-commerce contributing five answers and Machine Learning 88 of 485¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The 485 answers are unevenly distributed across nine subjects, from five answers in E-commerce to 88 in Machine Learning. → Jahangir Alam SM 2026

Evidence¶

Jahangir Alam SM 2026¶

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 doi:10.48550/arxiv.2608.22346

q2 · i? · design · r2

Descriptive subject-distribution reporting from the Limitations section, derived from the workbook and verified against the final JSON (Table 2). The article states "E-commerce has five answers, while Machine Learning has 88" and recommends sampling plans reflect this imbalance. Descriptive metadata; no effect size printed.

"E-commerce has five answers, while Machine Learning has 88. Question-specific rubrics use different maxima, criterion counts, and textual scales."

Discussion¶

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