- Paper Types and Submission Processes
- Publication Frequency
- Open Access Policy
- Special Section Proposals
- Statement on Publication Ethics and Misconduct
- Author Responsibilities
- Authorship Statement
Paper types and submission processes
For information about the types of paper published by the Journal of Learning Analytics, how to submit a paper, and details of the peer review process, see the journal's Focus & Scope.
The Journal of Learning Analytics publishes three issues a year: Spring, Summer and Fall.
Open Access Policy
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
The journal does not charge authors submission or processing charges to submit – costs are covered by the Society for Learning Analytics Research (SoLAR).
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Special Section Proposals
Special Section Proposals
To submit a proposal for a special section, guest editors should email email@example.com with a 1-3 page document detailing:
- Guest editors and their respective affiliations
- Proposed theme of the special section, and background on why it is important and timely
- Scope and relevant topics for the special section
- Proposed timeline for the review process and publication
Statement on Publication Ethics and Misconduct
The Journal of Learning Analytics subscribes to the UTS ePress Statement on Publication Ethics and Transparency and follows the ethical standards set by the Committee on Publication Ethics (COPE).
- Editors adhere to the Code of Conduct and Best Practice Guidelines for Journal Editors
- Authors are expected to follow COPE’s International Standards for Authors
- Reviewers are expected to follow COPE’s Ethical Guidelines for Peer Reviewers
- The submission is original and has not been previously published, nor has it been submitted to another journal for consideration.
- The text adheres to the ethical, stylistic and bibliographic requirements outlined in the Author Guidelines
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It is the responsibility of the author/s to ensure:
- Any conflicting or competing interest is disclosed on submission of their work and all sources of funding are declared.
- They contact the Journal Editors to identify and correct any material errors upon discovery, whether prior or subsequent to publication of their work.
- The work is original, and all sources are accurately cited, according to the Journal’s style guide.
- Authorship of the work is accurately reflected. This means all individuals credited as authors legitimately participated in the authorship of the work, and all those who participated are credited and have given consent for publication. Authorship should be limited to those who have made a significant contribution to the conception, design, or analysis and interpretation of the work. Other contributors should be mentioned in the acknowledgement section of the paper and their contribution described. Please refer to the Authorship Statement below for more information on authorship.
- That their submission follows all Author Guidelines (including those for ensuring a blind review).
Authorship of an article in the Journal of Learning Analytics (JLA) is an important label that denotes both credit and responsibility for the work conducted and should accurately reflect individuals’ contributions.
Qualification for authorship of a JLA article is based on three criteria:
- Substantial contributions to the conception of the work, design of the study, or analysis and interpretation of the data
- Involvement in the writing of the manuscript to be submitted
- Approval of the final submitted version with responsibility for the integrity of its content
Contributors who do not meet all three of the criteria for authorship should not be listed as authors, but can be recognized in a separate acknowledgements section. JLA explicitly disallows the practices of guest, gift and ghost authorship; responsibility for the correct attribution of authorship resides collectively with the submitting authors.
Submissions with four or more authors will be required to submit a statement that outlines the contribution that each author has made to the work and manuscript preparation.
Complaints related to the Journal of Learning Analytics should be directed in the first instance to the Editors via the official journal contact information. Complaints will be investigated according to recommendations by the Committee on Publication Ethics. If complainants are unsatisfied with the response they may contact the Society for Learning Analytics Research (SoLAR).