About the Journal


AI-EDU Arxiv is a new preprint platform that focuses in on sharing specific examples of how artificial intelligence (AI) is being used in four key educational areas: teaching, enhancing student experiences. research , and administrative tasks in schools and colleges. It acts as a go-to place for showcasing how AI is making teaching smarter, admin tasks smoother, and research more efficient. By collecting a wide variety of case studies, AI-EDU Arxiv sparks conversations among educators, administrators, and researchers. The goal is to deepen our understanding of AI's role in reshaping education. Gathering a hefty database of use cases is step one, crucial for seeing what's possible with AI in education and laying the groundwork for future theories and rigorous empirical  studies. 

Copyright Notice and Disclaimer for Contributors

Copyright is retained by the authors. Contributions to AI-EDU Arxiv are licensed under a Creative Commons Attribution 4.0 International License. This license allows for unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Before submitting to AI-EDU Arxiv, authors should note the variability in the acceptance of preprints across different academic disciplines. While many fields embrace preprints as a means to promptly share research findings, others may have restrictions. Specifically, some journals may decline to review or publish manuscripts that have been previously shared as preprints, particularly if the submissions have not undergone substantial revision or enhancement.

It is the sole responsibility of contributors to verify the submission and publication policies of prospective journals regarding preprints. We encourage you to thoroughly review these policies to avoid any potential conflicts that could affect the future dissemination of your work through traditional publication channels. AI-EDU Arxiv aims to facilitate the open exchange of innovative ideas and findings in the intersection of AI and education. We trust our contributors to make informed decisions about their publication strategy to advance knowledge and understanding in the field.

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