Identifying qualified and reliable reviewers is essential to maintaining the high academic standards of Artificial Intelligence in Learning (AIL). To support editors in this process, Bright Publisher provides a combination of advanced tools and practical strategies designed to simplify reviewer selection and ensure the integrity of the peer-review process.

Tips for Selecting Reviewers

To ensure high-quality and efficient reviews, editors are encouraged to consider the following guidelines:

• Match expertise carefully: Select reviewers conducting active research closely related to the manuscript topic. They are best positioned to evaluate the technical quality and relevance of the paper.

• Engage editorial board members: Board members are valuable reviewers and can recommend additional experts within their networks.

• Prioritize active researchers: Avoid inviting individuals who have not published in the last five years, as their familiarity with recent research trends may be limited.

• Consider emerging scholars: Young academics, postdoctoral researchers, and early-career faculty often provide detailed, timely, and high-quality reviews.

• Invite recently published authors: Authors who have recently published in AIL or related journals tend to be responsive and invested in maintaining research standards.

• Be selective with invitations: Only invite as many reviewers as necessary for each manuscript to prevent overburdening the reviewer community.

• Maintain diversity: Include reviewers from different geographic regions, institutions, and backgrounds to ensure balanced and inclusive evaluation.

For further support with reviewer management or to access the reviewer training toolkit, please contact: editor@ail.mbicore.com