Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Author Fees

Article Submission Charge (ASC): 

To ensure the seriousness of submissions, Indonesian authors are required to pay an Article Submission Charge (ASC) of IDR 250,000 upon initial submission. This fee guarantees that your manuscript enters the review process. Thus, Premise does not welcome “fast-tract” option, since Article Submission Charge (ASC) has replaced this model. ASC is valid under official request by an editor sent via email. No authors are allowed to pay ASC unless the designated editor requests authors to do so.

Article Publishing Charge (APC): 

For Indonesian authors, an Article Publishing Charge (APC) of IDR 500,000 is applicable upon acceptance and publication of the article. No authors are allowed to pay APC unless the designated editor requests authors to do so.

For international (non-Indonesian) authors, the APC is waived. However, a nominal Article Submission Charge (ASC) of 20 USD is required to cover the costs of the review process. This payment can be made via PayPal.

Submission Process 

We strongly encourage authors to submit their manuscripts through our online submission system (OJS). This platform allows authors to: 

  • Upload all required files, including the Cover Letter, Title Page, main manuscript, figures, supplementary information, and based on Article Template 2024
  • Track the status of their manuscript throughout the review process. 

Desk Review and Initial Screening

Upon submission, the Editor will conduct a desk review to ensure the manuscript meets the journal’s minimum standards, including: 

  • Word count: 3,000–7,000 words. 
  • Proper use of Mendeley Reference Manager. 
  • A minimum of 20 cited references, with a focus on recent and relevant literature. 
  • An article (research or review) with foreign authors (Indonesians +non-Indonesian) will be prioritized.
  • Foreign author will be definitely prioritized if the article meets the scopes.
  • It takes one month generally and may take shorter than 15 days occasionally.

Payment of ASC

The Article Submission Charge (ASC) is payable once the manuscript has been accepted for review by the Editor-in-Chief. Authors will be notified via email with payment instructions. Thus, Premise does not welcome “fast-tract” option, since Article Submission Charge (ASC) has replaced this model. Thus, no authors are allowed to pay ASC unless the designated editor requests authors to do so.

Letter of Acceptance (LoA).

Authors may request a Letter of Acceptance (LoA) after their manuscript has undergone two rounds of revisions based on feedback from two blind reviewers. Please note that the LoA will only be issued once the revised manuscript meets the journal’s standards. This process typically takes up to one  to two months after the desk review decision is issued. Following desk-review is official review by selected reviewers which may take a month for a round and another month for subsequent round. 

Premise does not apply quota or no limits for submission. Any author has submitted before deadline of each period is welcomed to get published as long as the authors are serious to revise the reviewed articles. However; only 76 articles are published in in a volume yearly.   

Withdrawal Policies

Any author (s) who has submitted an article and the article has been reviewed at least once, will get a penalty as much as 500.000 IDR if they withdraw the reviewed article for no requesting or confirming to editor in chief.

Premise: Journal of English Education and Applied Linguistics (PJEE) is archived in the CLOCKSS archival system to ensure the long-term preservation and continued accessibility of its published content. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Generative AI Policies

INTRODUCTION 

This policy is based on and refers to the guidelines outlined in the Generative AI Policies for Journals, as provided by:

STM

: Recommendations for classifying AI use in academic manuscript preparation

Elsevier

: The application of generative AI and AI-assisted technologies within the review process

WAME

: Chatbots, generative AI, and scholarly manuscripts

Premise: Journal of English of Education and Applied Linguistics (PJEE) understands the importance of artificial intelligence (AI) and its potential to help authors with their research and writing processes. IAES is excited about the new possibilities that generative AI tools bring, especially for helping to come up with ideas, speed up research, analyze results, improve writing, organize submissions, assist authors who write in a second language, and speed up the research and sharing process.  PJEE is offering guidance to authors, editors, and reviewers on the use of such tools, which may evolve given the swift development of the AI field.  

Generative Artificial Intelligence (AI) tools, including large language models (LLMs) and multimodal models, are continually developing and evolving, particularly in their applications for businesses and consumers. While generative AI possesses significant potential to enhance creativity for authors, it is important to acknowledge the associated risks that come with the current generation of these tools. Generative AI can produce a wide variety of content, encompassing text generation, image synthesis, audio, and synthetic data. Notable examples of such tools include ChatGPT, Copilot, Gemini, Claude, NovelAI, Jasper AI, DALL-E, Midjourney, and Runway. 

Some of the risks associated with the operation of generative AI tools today are:

  1. Inaccuracy and bias: Generative AI tools are fundamentally statistical in nature rather than factual. Consequently, they can introduce inaccuracies, falsehoods (often referred to as hallucinations), or biases that may be difficult to detect, verify, and rectify.
  2. Lack of attribution: Generative AI frequently fails to adhere to the established practices within the global scholarly community regarding the correct and precise attribution of ideas, quotes, or citations.
  3. Confidentiality and intellectual property risks: Currently, generative AI tools are often employed on third-party platforms that may not provide adequate standards for confidentiality, data security, or copyright protection.
  4. Unintended uses: Providers of generative AI may repurpose input or output data generated from user interactions (for instance, for AI training). This practice has the potential to infringe upon the rights of authors and publishers, among others.

AUTHORS 

Authors may use generative AI tools (e.g., ChatGPT, GPT models) for specific tasks, such as enhancing the grammar, language, and readability of their manuscripts. However, authors remain responsible for the originality, validity, and integrity of their submissions. When opting to use generative AI tools, it is essential that authors do so in a responsible manner and adhere to our journal's editorial policies concerning authorship and publication ethics. This responsibility encompasses reviewing the outputs produced by any AI tools and ensuring the accuracy of the content.

The IAES endorses the responsible use of generative AI tools, ensuring that high standards of data security, confidentiality, and copyright protection are maintained in instances such as the following:

  • Idea generation and idea exploration 
  • Language improvement 
  • Interactive online search with LLM-enhanced search engines 
  • Literature classification 
  • Coding assistance 

Authors are responsible for ensuring that the content of their submissions meets the required standards of rigorous scientific and scholarly assessment, research, and validation and is created by the author. 

Generative AI tools should not be credited as authors, as they are unable to assume responsibility for the content submitted or to manage copyright and licensing agreements. Authorship necessitates accountability for the content, consent to publication through a publishing agreement, and the provision of contractual assurances regarding the integrity of the work, among other essential principles. These uniquely human responsibilities cannot be fulfilled by generative AI tools.  

Authors must clearly acknowledge any use of generative AI tools in their articles by including a statement that specifies the full name of the tool (along with its version number), how it was used, and the reason behind it. For article submissions, this statement should be placed in either the Methods or Acknowledgements section. This transparency allows editors to assess the employment and responsible use of generative AI tools. PJEE will maintain discretion over the publication of the work to ensure that integrity and guidelines are upheld.  

If an author intends to use an AI tool, they must ensure that it is suitable and robust for their intended purpose. Additionally, they should verify that the terms associated with such a tool offer adequate safeguards and protections, particularly concerning intellectual property rights, confidentiality, and security.

Authors should avoid submitting manuscripts that use generative AI tools in ways that compromise fundamental researcher and author responsibilities, for example: 

  • text or code generation without rigorous revision 
  • synthetic data generation to substitute missing data without robust methodology  
  • generation of any types of content that are inaccurate, including abstracts or supplemental materials 

These types of cases may be subject to editorial investigation.  

IAES currently prohibits the use of generative AI in the creation and manipulation of images and figures, as well as original research data, for inclusion in our publications. The term “images and figures” encompasses pictures, charts, data tables, medical imagery, snippets of images, computer code, and formulas. “Manipulation” refers to augmenting, concealing, moving, removing, or introducing specific features within an image or figure.

Human oversight and transparency must consistently inform the use of generative AI and AI-assisted technologies throughout every stage of the research process. Research ethics guidelines are continuously being revised to reflect advancements in generative AI technologies. PJEE will continue to update our editorial guidelines as both the technology and ethical standards in research develop.

EDITORS AND PEER REVIEWERS 

PJEE is committed to maintaining the highest standards of editorial integrity and transparency. Editors and peer reviewers using manuscripts in generative AI systems could risk breaking confidentiality, ownership rights, and privacy, including personal information. Consequently, editors and peer reviewers are prohibited from uploading files, images, or information from unpublished manuscripts into generative AI tools. Non-compliance with this policy may violate the intellectual property rights of the rightsholder. 

Editors  

Editors play a crucial role in maintaining the quality and integrity of research content. Consequently, it is imperative that editors maintain confidentiality regarding submission and peer review details.

The use of manuscripts within generative AI systems could pose significant risks related to confidentiality, as well as potential infringements on proprietary rights, data security, and other concerns. Therefore, editors are prohibited from uploading unpublished manuscripts, along with any associated files, images, or information, into generative AI tools.