About the Journal
I. Aims and Scope
We invite contributions from researchers, 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 and the often-neglected affective dimensions of learning.
- Curriculum & Instruction: Studies on instructional material fidelity and modernization through technology.
- AI in General Education: Ethical integration of Generative AI and the development of Critical AI Literacy (CAIL).
II. Peer Review Policy: The AI-Augmented Hybrid Model
NExAIE operates under a unique AI-Native Peer Review Protocol designed for maximum transparency and speed:
- AI-Generated Analysis: Specialized agents evaluate measurement integrity and statistical rigor (SEM, CFA, EFA).
- Transparency: All AI prompts are version-controlled, tracked, and disclosed to authors.
- Human Authority: Human Section Editors—world-class experts—retain the final "Accept/Reject" authority, providing the essential "sense-making" synthesis.
- Pre-screening: Authors have access to our Preliminary AI Review Prompts to stress-test their work before formal submission.
III. Fast-Track Workflow & Open Science
- 3-Day Processing: Chief Editorial team provides initial screening within 72 hours.
- Monthly Publication: Ensuring timely dissemination of AI-related research.
- Diamond Open Access: No subscription paywalls and No Article Processing Charges (APCs).
IV. Editorial Leadership
- Chief Editor: Dr. Murat Kahveci (Kahveci Nexus)
- Section Editorial Board: Currently onboarding an international panel of experts in Curriculum & Instruction, Applied Mathematics, and STEM Education for Volume 1, Issue 2.