Author Guidelines
The Journal of Cognitive AI for Human Learning (JCAIHL) is an international, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality research at the intersection of artificial intelligence, cognitive science, and learning sciences. The journal provides a global platform for researchers, academics, and practitioners to disseminate innovative theories, computational models, methodologies, and applications that advance the emerging field of Cognitive AI for human learning.
JCAIHL welcomes original research articles, review papers, theoretical studies, and methodological contributions covering both fundamental concepts and practical implementations of intelligent learning systems. The journal particularly encourages interdisciplinary research integrating artificial intelligence, machine learning, cognitive modeling, learner analytics, educational technology, psychology, human-AI interaction, and related computational approaches to understand, model, and enhance human learning processes.
Authors should prepare their manuscripts using the JCAIHL manuscript template and submit them through the online submission system. Only manuscripts that comply with the journal's formatting requirements, ethical standards, and submission guidelines will be considered for peer review.
Submitted manuscripts must present original work that has not been previously published, is not under consideration by another journal or conference, and provides a significant contribution to the advancement of Cognitive AI and intelligent learning systems research. All submissions undergo a rigorous double-blind peer-review process conducted by experts in relevant disciplines, evaluating originality, scientific quality, methodological rigor, clarity of presentation, relevance, ethical considerations, and overall contribution to the field.
As part of our commitment to efficient scholarly communication, the editorial team strives to complete the initial review process within four weeks. If authors do not receive any update after this period, they are encouraged to contact the editorial office via email for further information.
The Journal of Cognitive AI for Human Learning (JCAIHL) is published as an open-access international journal, ensuring that all published articles are freely available to readers worldwide without subscription barriers. The journal is committed to promoting accessible scientific knowledge and supporting global collaboration in the development of intelligent, adaptive, explainable, and human-centered AI learning systems. We are also pleased to inform authors that there are no article submission charges for manuscripts submitted to the journal.