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
2Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
1658287920
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Anahita Golrang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Productivity: 2 papers
- Skills Training: 1 paper
Claim outcomes
- Team Performance: 2 papers
- Other: 1 paper
- Training Effectiveness: 1 paper
- Governance And Regulation: 1 paper
- Output Quality: 1 paper
- Task Completion Time: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 that monitors pairs’ effort and gaze makes pair programming more effective: combined reactive prompts improve coordination and performance, and proactive, forecast-based support prevents breakdowns before they occur.arxiv | Anahita Golrang provider id |
2026-05-06 | 0 |
| An AI tutor that anticipates teamwork breakdowns improves pair-programming outcomes: in a 26-dyad lab study, forecast-driven prompts raised debugging success and cut task time while enhancing joint attention and mental effort.arxiv | Anahita Golrang provider id |
2026-05-04 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.