Publication Info
| Type | Preprint |
| Status | Under review |
| Year | 2026 |
| Venue | arXiv (cs.CY) |
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Towards an AI-Native Peer Review Pipeline for Educational Technology: Engine Architecture and Prompt Matrix Verification
2026 — arXiv (cs.CY).
Citation (APA)
Abstract
This report outlines the technical architecture and verification protocol of the Nexus AI & Education (NExAIE) Paper Review Engine. NExAIE introduces a novel, AI-augmented peer review workflow integrated into the PEDAL Archive. By utilizing a multi-dimensional evaluation matrix (7 publication types x 6 scholarly dimensions), the system ensures rigorous, consistent, and context-aware assessments. We describe the secure data handling protocols, including AES-256 field-level encryption for confidential metadata, and provide a systematic verification of the 42 unique prompt combinations that drive the AI-assisted review process.
Keywords
BibTeX
@misc{cv,
title = {Towards an AI-Native Peer Review Pipeline for Educational Technology: Engine Architecture and Prompt Matrix Verification},
author = {Kahveci, M.},
year = {2026},
howpublished = {arXiv (cs.CY)},
abstract = {This report outlines the technical architecture and verification protocol of the Nexus AI & Education (NExAIE) Paper Review Engine. NExAIE introduces a novel, AI-augmented peer review workflow integrated into the PEDAL Archive. By utilizing a multi-dimensional evaluation matrix (7 publication types x 6 scholarly dimensions), the system ensures rigorous, consistent, and context-aware assessments. We describe the secure data handling protocols, including AES-256 field-level encryption for confidential metadata, and provide a systematic verification of the 42 unique prompt combinations that drive the AI-assisted review process.}
}