Published March 8, 2026
| Version v1
Dataset
Open
Instructional Risk Evaluation Dataset for LLM-Generated Teaching Outputs
Authors/Creators
- 1. Computer Science Department, Nile University of Nigeria, Abuja, Nigeria
Description
This dataset contains the expert evaluations and learner detectability assessments used to analyze instructional risk in LLM-generated outputs. It includes annotations of instructional failure modes, severity scores, propagation risk ratings, and learner judgments of correctness and reuse intention. These data form the empirical basis for computing the Instructional Risk Index (IRI) and for examining cross-domain risk patterns and learner susceptibility to pedagogically misleading outputs.
Files
Files
(86.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:61c40ed38136645e65896e405ff9feb1
|
86.5 kB | Download |