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:
A5139512939
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- jarudin Jaru wastira (openalex, provider refresh)
- jarudin Jaru wastira (openalex, source metadata)
- Wastira, Jarudin Jaru (openalex, provider refresh)
- Wastira, Jarudin Jaru (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Other: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 1 paper
- Training Effectiveness: 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 |
|---|---|---|---|
| AI-powered personalization sharply raises engagement and pass rates in workplace learning: recipients used platforms substantially more and passed many more modules, while recommendation and predictive models delivered strong accuracy across three multinational firms.openalex | Wastira, Jarudin Jaru provider id |
2026-01-01 | 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.