Publication Info
Type Preprint
Status Under review
Year 2026
Venue arXiv (cs.CY)
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Preprint

Towards an AI-Native Peer Review Pipeline for Educational Technology: Engine Architecture and Prompt Matrix Verification

Kahveci, M.

2026 — arXiv (cs.CY).

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Citation (APA)

Kahveci, M. (2026). Towards an AI-Native Peer Review Pipeline for Educational Technology: Engine Architecture and Prompt Matrix Verification. 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.

Keywords

AI-Augmented Peer Review Diamond Open Access Open Peer Review Records Scholarly Infrastructure Research Artifacts NExAIE PEDAL Archive

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.} }
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