About JEO

The Journal of Educators Online (JEO) is a peer-reviewed publication highlighting research in the broad area of Computer Mediated Learning (CML) which includes distance, online, electronic, virtual, distributed, blended and mobile learning. Computer-mediated learning occurs when an individual interactively learns (formally or informally, synchronously or asynchronously) about material via computer means where the learning materials and pedagogy are developed to take advantage of the available technologies.

The goals of JEO are to:

  • Promote a scholarly approach to the practice and profession of teaching in computer-mediated environments.
  • Foster dialogue concerning innovative computer-mediated teaching, learning and assessment strategies.
  • Enhance understanding and application of best practices in online teaching and learning. 

JEO is published in January, May, and September of each year.  Submissions are accepted on a rolling basis.

Open Access

JEO is an Open Access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of Open Access.

Open Access Archiving Policy

Once an article has been accepted for publication, authors may post the accepted version of the article on their own personal website, department’s website or institution repository without any restrictions. When posting or re-using the article, authors must provide a link to the appropriate DOI for the published version of the article at JEO.


JEO publishes only original manuscripts (i.e., manuscripts under review with another publication, previously published, or revised versions of previously published manuscript are not acceptable). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/int/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA.

Statement of Publication Ethics

The Journal of Educators Online (JEO) is committed to upholding the highest standards of publication ethics and integrity. We adhere to the principles of transparency, accountability, and respect in all aspects of our publication process. This includes rigorous peer review, ethical authorship, avoidance of plagiarism, and the handling of conflicts of interest. Our commitment extends to ensuring data accuracy and respecting intellectual property rights. The JEO editorial board is dedicated to enforcing these ethical standards, fostering a culture of ethical publishing, and promoting responsible research practices. Our goal is to contribute positively to the scholarly community by ensuring that all articles published in JEO meet these high ethical expectations.

Indexing and Promotion

To facilitate article dissemination, JEO is indexed via:

  • Education Resources Information Center (ERIC)
  • Scopus
  • ASCI-Database

In addition, JEO is included in the following journal databases:

  • Cabell Publishing: Complete Business College Set, Educational Technology & Library Science Directories
  • Elsevier
  • Directory of Open Access Journals (DOAJ)

Policy on Generative AI

As an academic journal, we recognize the potential benefits and ethical concerns of using generative artificial intelligence (AI) as a research tool. We believe that AI can serve as a valuable tool in assisting researchers with data analysis, authorship, and other research-related tasks. However, we also acknowledge the importance of ethical considerations when using AI in research. Our policy statement is grounded in the principle that AI should be used in ways that uphold ethical values such as fairness, transparency, accountability, and respect for individual rights: 

  1. Researchers must ensure that the data used to train the AI is representative and unbiased, and that the algorithms are transparent and explainable. Researchers should clearly document the methods and data used in their AI models, disclose any limitations or potential biases, and make their data and models available for scrutiny and replication. 
  1. Researchers must obtain informed consent from participants before collecting or using any data and ensure that the privacy and confidentiality of individuals and their personal information are protected. 
  1. Researchers must be aware of the potential biases and limitations of generative AI and take steps to mitigate these issues. For example, they may need to consider using multiple AI models or combining AI with other research methods to ensure a more comprehensive and balanced analysis. 
  1. Researchers must be transparent about the use of generative AI in their research, including acknowledging its contributions in any publications or presentations. While AI should not be listed as a co-author, its use as a writing tool should be identified as an author note.  

This journal supports the ethical use of generative AI as a research tool. We encourage researchers to follow these guidelines to ensure that their use of this technology is conducted in an ethical and responsible manner and contributes to the advancement of knowledge in their field. 

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