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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5044884665
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Edisa Korda (openalex, provider refresh)
- Edisa Korda (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Skill Acquisition: 1 paper
- Ai Safety And Ethics: 1 paper
- Inequality: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| Short, researcher-led edtech pilots overstate classroom benefits: learning gains depend on teachers' orchestration and clear mathematical purpose, not gadget sophistication. Generative AI magnifies unresolved questions about who validates mathematical reasoning, so procurement should fund teacher training and rigorous, classroom-embedded evaluations rather than tool purchases alone.openalex | Edisa Korda provider id |
2026-08-21 | 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.