
The Journal of Knowledge Learning and Science Technology (JKLST) is an open-access journal with a publication fee of 100 USD (hard copy not included). Authors are required to pay this fee after their manuscript is accepted for publication. Financial support or funding sources should be disclosed. The publication fee is non-refundable unless the publication is canceled due to the journal's reasons.
We invite original, previously unpublished research papers, reviews, surveys, tutorial papers, application papers, case studies, short research notes, and letters on both applied and theoretical aspects. Manuscripts should be written in English or Chinese and should not be less than 8000 words, ideally not exceeding 8000 words (including references and appendices) or 19 pages in length (See Article Template). Submissions must include the following elements where applicable:
Papers should be formatted into A4-size (21 x 29.7 cm) pages. Please download the Article Template for manuscript preparation. Manuscripts should be submitted via the Journal's submission system or emailed to editor@jklst.org with a covering email stating the name, address, and affiliation of the corresponding author.
Note: Only MS Word format is acceptable. Authors are forbidden to publish the same research in more than one journal. Authors may suggest 2-4 reviewers by providing their title, full name, and contact information. The editor will decide whether to use these recommendations.
Natural Sciences (e.g., Biology, Chemistry, Physics)
Social Sciences (e.g., Sociology, Anthropology, Psychology)
Humanities (e.g., Literature, Philosophy, History)
Engineering & Technology
Medical & Health Sciences
All manuscripts submitted are checked for plagiarism using Crosscheck (powered by iThenticate).
Authors must participate in the peer review process. Submissions are accepted for review with the understanding that the same work has neither been submitted to, nor published in, another publication. Concurrent submission will result in immediate rejection.
Manuscripts are subject to a fair, unbiased peer review process and are considered based on their significance, novelty, and usefulness. The review output will either be:
The review process may take up to three months. If revisions are requested, the revised version should be submitted within 3 months for major revisions or 1 month for minor revisions. Authors needing more time should contact the Editor. The Editor reserves the right to reject a paper if it doesn't meet the journal's aims and scope, isn't technically sound, isn't revised satisfactorily, or is inadequate in presentation.
Revised versions should follow the same formatting requirements as the final version. Include a short summary of modifications and responses to reviewers' comments. Use the JKLST Article Template for the final version. Submit electronically via email to editor@jklst.org, referring to the paper ID.
Submission implies the paper is not under review elsewhere. It is the author's responsibility to ensure no copyright infringements, defamation, or other issues arise from the manuscript. Obtain all necessary copyright release permissions for any copyrighted materials before submission.
Please confirm that your submission meets the following requirements before proceeding:
☐ The submission complies with the guidelines outlined in the Author Instructions.
☐ The manuscript has not been previously published and is not under consideration by another journal.
☐ All references have been thoroughly checked for accuracy and completeness.
☐ All tables and figures have been properly numbered and labeled.
☐ Permission has been obtained to publish any photos, datasets, or other materials included with the submission.
By checking these boxes, you are confirming that your submission meets our publication requirements. Failure to comply with these guidelines may result in delays or rejection of your manuscript. Please let us know if you have any questions.
Section default policy
By submitting your work to this publication, you agree to the following copyright terms:
The author(s) retain copyright of the work, granting the publisher the non-exclusive right to publish the article.
The work is original and has not been published elsewhere, nor is it currently under consideration by another publication.
All authors have approved the manuscript and its submission to this publication.
If accepted, the work will not be published elsewhere in the same or similar form without the written permission of the publisher.
Please indicate your agreement with these copyright terms by checking the box below before proceeding with your submission.
Privacy Statement for the Journal of Knowledge Learning and Science Technology (JKLST) (ISSN: 2959-6386)
The Journal of Knowledge Learning and Science Technology (JKLST) is committed to protecting the privacy and confidentiality of its authors, reviewers, readers, and visitors. This Privacy Statement outlines how the journal collects, uses, and safeguards personal information obtained through its website and related services.
Collection of Personal Information
The journal may collect personal information from individuals in various ways, including but not limited to:
The types of personal information collected may include names, contact details (such as email addresses and affiliations), and other information voluntarily provided by individuals.
Use of Personal Information
The personal information collected by the journal is used solely for the purposes of conducting its scholarly activities and enhancing the user experience. The primary uses of personal information include:
Manuscript Submission and Peer Review
Personal information provided during manuscript submission and peer review processes is used for communication with authors, reviewers, and editors involved in the evaluation and publication of research papers.
Subscription and Communication
Personal information obtained through newsletter subscriptions or other communication channels is used to deliver relevant updates, announcements, and promotional materials related to the journal's activities, such as new issue alerts, call for papers, and conference announcements.
Website Analytics and Improvements
Non-identifiable information, such as IP addresses and browsing patterns, may be collected for website analytics and statistical purposes. This information helps the journal understand user preferences, improve website functionality, and enhance the overall user experience.
Protection of Personal Information
The journal takes appropriate measures to ensure the security and confidentiality of personal information. Safeguards are in place to prevent unauthorized access, disclosure, alteration, or destruction of personal data. Access to personal information is restricted to authorized personnel who require the information to fulfill their respective roles within the journal's operations.
Sharing of Personal Information
The journal does not sell, rent, or share personal information with third parties for commercial purposes without explicit consent, unless required by law or authorized by the individual. However, certain service providers and partners may have access to personal information solely for the purpose of assisting the journal's operations, such as manuscript submission systems, website hosting, or email delivery services. These entities are bound by confidentiality agreements and are expected to adhere to privacy and data protection regulations.
Data Retention
Personal information collected by the journal is retained for as long as necessary to fulfill the purposes outlined in this Privacy Statement, unless a longer retention period is required or permitted by law.
Updates to the Privacy Statement
The journal may periodically update this Privacy Statement to reflect changes in its practices or applicable regulations. Any updates will be published on the journal's website, and individuals are encouraged to review the Privacy Statement regularly for the most up-to-date information.
For any questions or concerns regarding this Privacy Statement, please contact the journal directly.
Copyright: © The Author(s), 2024. Published by Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.