Editorial Process

At HEISJ, we utilize a structured workflow to ensure that research at the intersection of technology and academia meets the highest standards of innovation and integrity.

1. Manuscript Submission All submissions must be uploaded via the HEISJ portal. Authors must ensure their work follows the specific technical and pedagogical formatting guidelines of the journal.

2. Initial Screening and Plagiarism Check The editorial office verifies that the manuscript addresses intelligent systems in education and maintains a similarity index under 15%.

3. Assignment to Section Editor Manuscripts are assigned to editors specializing in AI, EdTech, or Higher Education Policy to evaluate technical robustness and original contribution.

4. Double-Blind Peer Review At least two independent experts conduct an anonymous review focusing on algorithmic validity, research design, and educational impact.

5. Reviewer Recommendations Reviewers provide one of four outcomes: Accept, Minor Revisions, Major Revisions, or Reject.

6. Editorial Decision The Section Editor delivers a decision letter to the authors, including detailed feedback to improve the manuscript.

7. Author Revisions Authors revise the work and provide a response ledger. Technical updates may trigger a second round of peer review.

8. Final Acceptance Upon satisfying all technical and editorial requirements, a formal acceptance is issued.

9. Copyediting and Proofreading The production team ensures consistency in technical terminology and formatting before the final author sign-off.

10. Online Publication The article is published with open access, ensuring immediate visibility in the global tech and academic community.

11. Post-Publication Dissemination HEISJ promotes work through digital networks, social media, and technology-focused academic partnerships.