Submissions

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Author Guidelines

Authors are invited to submit original scholarly work within the Aims and Scope of the Journal of AI-Enabled Engineering and Technical Education (JAIEETE).

Submissions must be original, written in English, and not under consideration by another journal.

JAIEETE considers:

  • Original Research Articles
  • Review Articles
  • Systematic Reviews
  • Case Studies
  • Short Communications

Manuscripts should normally include:

  • Title
  • Abstract
  • Keywords
  • Introduction
  • Methodology / Materials and Methods
  • Results
  • Discussion
  • Conclusion
  • Declarations, where applicable
  • References

JAIEETE uses double-blind peer review. The manuscript file must therefore be anonymized and must not contain author names, affiliations, acknowledgements, or other information that could reveal author identity.

Authors must disclose relevant funding, conflicts of interest, ethical approval, informed consent, and substantive use of generative AI where applicable.

All manuscripts must comply with the journal's publication ethics, AI, open-access, and copyright policies.

Article Processing Charge (APC)
The standard article processing charge for JAIEETE is £300 GBP.

For the inaugural issue, the APC is fully waived. Authors whose manuscripts are accepted for the inaugural issue will therefore pay no submission fee, APC, page charge, colour charge, or publication fee.

Editorial and peer-review decisions are independent of financial considerations.

Submission Preparation Checklist

All submissions must meet the following requirements:

  • The submission is original and has not been previously published or submitted elsewhere.
  • The manuscript falls within the aims and scope of JAIEETE.
  • The manuscript has been anonymized for double-blind peer review.
  • All authors have approved the submission.
  • References have been checked for accuracy and completeness.
  • Ethical approval and informed consent are reported where applicable.
  • Funding and conflicts of interest are disclosed.
  • Relevant use of generative AI has been disclosed.
  • The manuscript complies with the journal's author guidelines and publication policies.

Original Research Articles

Publishes original empirical, experimental, computational, or applied research that makes a clear scholarly contribution to AI-enabled engineering, technical, vocational, or professional education.

Review Articles

Publishes critical and evidence-based reviews that synthesize and evaluate developments relevant to artificial intelligence in engineering and technical education.

Systematic Reviews

Publishes systematic reviews and, where appropriate, meta-analyses conducted using transparent and reproducible methods to address clearly defined research questions within the journal's scope.

Case Studies

Publishes evidence-based case studies examining the implementation, evaluation, or educational impact of AI and emerging technologies in engineering, technical, vocational, or professional education.

Short Communications

Publishes concise reports of significant preliminary findings, innovative educational practices, emerging technologies, or focused research contributions within the journal's scope.

Copyright Notice

Authors retain copyright in their published work.

By publishing an article in the Journal of AI-Enabled Engineering and Technical Education (JAIEETE), authors grant the journal the right of first publication.

Published articles are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Under this license, others may share, adapt, and reuse the work for any lawful purpose, including commercial use, provided appropriate credit is given to the original author(s) and source.

Authors may deposit and share the published version of their article in institutional repositories, personal websites, and other scholarly platforms with appropriate attribution.

Privacy Statement

The Journal of AI-Enabled Engineering and Technical Education (JAIEETE) respects the privacy of its authors, reviewers, editors, readers, and registered users.

Personal information collected through the journal website, including names, email addresses, affiliations, and account information, is used only for legitimate journal activities such as:

  • User registration and account management
  • Manuscript submission and editorial processing
  • Peer review and publication
  • Journal communication and notifications
  • Maintaining the scholarly record

Personal information will not be sold or used for unrelated commercial purposes.

Information may be shared only when necessary for journal operations, required by law, or authorized by the individual concerned.

JAIEETE takes reasonable measures to protect personal information and limit access to authorized users.

Users may contact the journal editorial office regarding questions about their personal information or the journal's privacy practices.