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 →
2Distinct papers
7Unique collaborators
2/2OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5058806857
ORCID evidence
Observed aliases (1)
- Qin Ni (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Skills Training: 2 papers
- Adoption: 1 paper
Claim outcomes
- Decision Quality: 2 papers
- Output Quality: 1 paper
- Worker Satisfaction: 1 paper
- Ai Safety And Ethics: 1 paper
- Other: 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 |
|---|---|---|---|
| AI decision-support modes do not directly boost novice teachers' task performance but shape it indirectly by changing users' confidence and trust; agreement between teachers and AI substantially increases both trust and performance.semantic_scholar | Qin Ni orcid |
Fetched 2026-05-10 | 0 |
| Explainable AI helps teachers perform better in the moment under concurrent assistance but erodes longer-term trust; an RCT of 120 pre-service teachers finds explanations boost immediate execution only in concurrent setups and do not transfer to independent tasks, while paradoxically suppressing accumulated trust.semantic_scholar | Qin Ni provider id |
Fetched 2026-04-11 | 1 |
Citation observation summary
OpenAlex supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.