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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5150910396
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Duygu Cavusoglu (openalex, provider refresh)
- Duygu Cavusoglu (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Training Effectiveness: 1 paper
- Skill Acquisition: 1 paper
- Inequality: 1 paper
- Other: 1 paper
- Task Allocation: 1 paper
- Worker Satisfaction: 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 |
|---|---|---|---|
| Generative AI can act as a socio-digital peer in teacher education, not just a tool, by providing motivational, emotional, and dialogic support that reshapes how pedagogical skills are formed and how institutions adopt and capture value.openalex | Duygu Cavusoglu provider id |
2026-09-08 | 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.