Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5087959838
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Kyoung-Min Ko (openalex, provider refresh)
- Kyoung-Min Ko (openalex, source metadata)
- Kyoung-min 고경민Ko (openalex, provider refresh)
- Kyoung-min 고경민Ko (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Training Effectiveness: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| A 24-component consensus framework ranks hands-on AI practice and curricular linkage as the top priorities for extracurricular AI literacy, accounting for 57.2% of evaluative weight; the blueprint, validated via Delphi and AHP, records a content-validity index of 0.84 and is proposed as scalable for low-resource settings.openalex | Kyoung-Min Ko provider id |
2026-08-07 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.