Peer Review Process

Peer review is a cornerstone of academic publishing. It ensures the validity, quality, and originality of the research we publish and upholds the scholarly integrity of Artificial Intelligence in Learning (AIL). Through this rigorous process, submitted manuscripts are evaluated by experts in the field to determine their scientific merit and suitability for publication.

How the Peer Review Process Works

Once a manuscript is submitted to AIL, it follows these key stages:

  1. Initial Editorial Screening
    The Editor-in-Chief and editorial team assess the manuscript to ensure it fits the journal’s aims, scope, and submission standards. Papers that do not meet basic requirements or ethical guidelines may be returned to authors before review.

  2. Assignment to Reviewers
    Qualified reviewers — selected based on their expertise in artificial intelligence, educational technology, and related domains — are invited to evaluate the manuscript. Each submission is typically reviewed by three independent experts.

  3. Double-Blind Review
    AIL follows a double-blind peer review model, meaning both authors and reviewers remain anonymous throughout the process. This promotes impartiality and objective evaluation based solely on the research quality and contribution.

  4. Reviewer Evaluation
    Reviewers provide detailed assessments covering the paper’s originality, methodology, clarity, and significance. They may recommend one of the following outcomes:

    • Accept with minor or major revisions

    • Revise and resubmit

    • Reject

  5. Editorial Decision
    The Editor-in-Chief or handling editor considers all reviewer feedback and makes a final decision. Authors receive constructive comments and, if applicable, are invited to revise and resubmit their manuscript.

  6. Final Acceptance and Publication
    After successful revisions and final approval, the accepted paper proceeds to copyediting, production, and online publication on the Bright Journal System platform.

 

Becoming a Reviewer

Most reviewers are invited by the journal’s editors based on their academic expertise, publication record, and research background. However, qualified researchers interested in contributing to the peer review process are encouraged to reach out. If you would like to be considered as a reviewer for Artificial Intelligence in Learning (AIL), please contact us.