About the Journal

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NExAIE (Nexus AI & Education) is a premier international venue for the intersection of artificial intelligence, pedagogy, and disciplinary research. Hosted by the Kahveci Nexus, the journal serves as a bridge between high-level educational theory and the practical realities of the classroom.

I. Aims and Scope

We invite contributions from researchers, K-12 educators, teacher-scholars, and practitioners across the following core areas:

  • Natural Sciences & STEM Practice: Best practices in Chemistry, Physics, Biology, and Earth Sciences, with an emphasis on the learning cycle and inquiry-based models (IBSE).

  • Science & Math Education: Research on conceptual understanding, psychometrics, and the often-neglected affective dimensions of learning.

  • Curriculum & Instruction: Studies on instructional material fidelity, accessibility standards (WCAG 2.1), and modernization through educational technology.

  • AI in General Education: Ethical integration of generative AI, prompt engineering for pedagogical purposes, and the development of Critical AI Literacy (CAIL).

Accepted Article Types:

To support diverse forms of scholarship, NExAIE accepts Research Articles, Review Articles, Technology Reports (focusing on new software or AI models), Communications (brief reports of urgent breakthroughs), Laboratory Experiments (classroom-tested activities), and Commentaries.

II. Peer Review Policy: The AI-Augmented Model

Submissions that meet the journal's scope do not undergo traditional double-blind peer review. Instead, NExAIE operates under a unique, transparent AI-Native Peer Review Protocol:

  • Pure AI-Augmented Evaluation: In place of traditional external reviewers, specialized AI agents perform comprehensive evaluations covering academic merit, methodological and statistical rigor (e.g., SEM, CFA, EFA), data integrity, pedagogical alignment, and citation compliance.

  • PEDAL Archive Transparency: All AI analysis prompts are version-controlled, tracked, and disclosed as a public dossier through the PEDAL Archive.

  • Editorial Synthesis: The AI-generated reports are submitted directly to our Human Expert Section Editors, who evaluate the findings, provide essential "sense-making" synthesis, and retain final "Accept/Reject" authority.

  • Pre-Screening: Authors are highly recommended to utilize our Preliminary AI Review Prompts as a Socratic mentor to stress-test their work before formal submission.

III. Fast-Track Workflow & Open Science

  • 3-Day Initial Screening: The Chief Editorial team provides initial screening for scope and minimum quality standards within 72 hours.

  • Monthly Publication Intent: We aim to publish a new issue every month to provide a rapid outlet for cutting-edge research. While our AI-Augmented Review significantly accelerates the evaluation phase compared to industry standards, final editorial decisions and professional typesetting are conducted by our dedicated human volunteers; therefore, individual submission-to-publication timelines will naturally vary.

  • Diamond Open Access: NExAIE is committed to barrier-free science. There are no subscription paywalls and absolutely no Article Processing Charges (APCs).

IV. Editorial Leadership

  • Editor-in-Chief: Murat Kahveci, Ph.D. (Kahveci Nexus)

  • Section Editorial Board: We are currently onboarding an international panel of experts in Curriculum & Instruction, Applied Mathematics, and STEM Education for Volume 1, Issue 2.