Canadian Journal of Learning and Technology Unveils Comprehensive AI Policy for Authors and Reviewers

Details of the CJLT AI Policy Statement

The full statement, available in both English and French, defines artificial intelligence broadly to include generative tools such as large language models like ChatGPT, Claude, and Gemini, as well as image generators, data analysis tools, and coding assistants. It emphasizes that the journal requires disclosure of any AI use and outlines clear boundaries for appropriate applications. Authors may employ AI only for non-substantive tasks under human oversight, including language editing for clarity and grammar, or formatting assistance like applying reference styles and adjusting tables or figures without altering scientific content.

For research design, data collection, or analysis involving AI, explicit descriptions must appear in the methods section and in a dedicated AI use statement at the end of the manuscript. Authors remain fully accountable for all content, including verification of AI outputs for accuracy and originality. Inappropriate uses, which could lead to rejection or retraction, encompass generating substantial conceptual or scientific text, treating unverified AI outputs as authoritative for data analysis or literature synthesis, creating figures from unverified generated data, or uploading confidential materials to external AI platforms.

Peer reviewers face strict prohibitions against using AI to evaluate manuscripts, preserving the human expertise and confidentiality essential to the scholarly process. Limited AI assistance for editing review comments for clarity is permitted, but the core assessment must rely on individual judgment.

Background on the Canadian Journal of Learning and Technology

CJLT serves as a peer-reviewed, open-access publication focused on educational technology, online learning, cognition, and instructional design, with particular relevance to Canadian contexts. Published by the University of Alberta, the journal has long supported innovation in teaching and learning through technology. The new AI policy aligns with its mission to advance high-quality, original research while adapting to technological shifts in academia.

Broader Context of AI Policies in Canadian Higher Education

Canadian universities and colleges have been navigating fragmented approaches to AI integration, with roughly half of institutions developing formal guidelines as of recent assessments. Many rely on updates to existing academic integrity policies rather than standalone AI frameworks. This patchwork has created inconsistencies for students, faculty, and researchers across provinces, prompting calls for more coordinated national strategies. The CJLT policy contributes to this evolving landscape by providing a model tailored to scholarly publishing in learning and technology fields.

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Implications for Authors and Researchers in Canadian Universities

For academics and graduate students submitting to CJLT, the policy introduces new transparency requirements that encourage careful documentation of AI assistance. This approach supports originality while recognizing AI's potential to assist with routine tasks. Researchers in educational technology may find opportunities to explore AI's role in teaching and learning, provided they adhere to the outlined standards. The emphasis on human oversight aligns with broader efforts to maintain scholarly rigor amid rapid technological change.

Impact on Peer Review Processes

By barring AI from core review functions, the policy reinforces the value of expert human judgment in evaluating submissions. This stance helps protect the anonymity and integrity of the review process, which is particularly important in specialized fields like learning technology. Reviewers are encouraged to focus on critical analysis rather than delegating to tools that could introduce errors or biases.

Alignment with International Publishing Standards

The CJLT statement draws from widely adopted practices in academic publishing, requiring accountability similar to guidelines from major journals and organizations. It positions the journal alongside other Canadian and international outlets that have implemented comparable measures to address generative AI. This consistency aids researchers navigating multiple submission venues.

Challenges and Opportunities Presented by the Policy

Implementing the policy may present initial challenges, such as training authors on proper disclosure and ensuring consistent enforcement. However, it also opens opportunities for dialogue on evolving AI capabilities. The journal describes the statement as living, inviting ongoing input from the community via email to the editorial team. This flexibility allows adaptation as tools advance, fostering responsible innovation in Canadian higher education research.

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Future Outlook for AI in Scholarly Publishing

As generative AI continues to influence higher education, policies like CJLT's are likely to become standard. They support the development of AI literacy among academics and administrators while mitigating risks to research quality. Canadian institutions may look to such examples when refining their own guidelines, contributing to a more unified approach across the sector.

How the Policy Affects University Administrators and Job Seekers

University leaders overseeing research offices or publishing support services can reference the CJLT model when developing institutional resources. For PhD candidates and early-career academics seeking positions in Canadian higher education, familiarity with these standards demonstrates awareness of current best practices in scholarly communication. Resources on academic career development can provide further guidance on navigating publishing expectations.