Decision-Making Process

At HEISJ, we utilize a rigorous framework to evaluate the intersection of technology and education, ensuring all published work is technically sound and pedagogically relevant.

1. Initial Submission Screening

  • Preliminary Check: Screening for technical formatting, data availability, and a 15% similarity threshold via Turnitin.

  • Scope Review: The Section Editor determines if the AI or intelligent system application contributes original knowledge to the higher education sector.

2. Peer Review Process

  • Assignment: Double-blind review by two or more experts in EdTech or Computer Science.

  • Criteria: Technical robustness, algorithmic integrity, and educational impact.

3. Editorial Evaluation and Final Decision

  • Consolidation: The handling editor synthesizes technical and pedagogical feedback.

  • Outcome: Final decision issued by the Editor-in-Chief (Accept, Revisions, or Reject).

4. Revisions and Resubmission

  • Technical Updates: Major revisions may include 4–6 weeks for code refinement or further data testing.

5. Appeals: Formal appeals are reviewed by a technical sub-committee of the Editorial Board.

6. Post-Acceptance: Professional copyediting ensures technical terms are clear and consistent across the manuscript.

7. Ethical Oversight: Focus on data privacy and the ethical use of automation in educational research.