Congratulations again on your proposal’s acceptance into our special series on AI and Open Education!
Here’s what next, in three parts: submission instructions, key dates, and guidelines to keep in mind while crafting your full submission.
If you have any questions, please contact [email protected].
Your full drafts are due on November 15 at midnight (AOE). Please aim to have written drafts be 2,500 words and video drafts 10 minutes. If your piece is written, follow APA guidelines for reference and style guides.
To submit your full draft, please follow the instructions here. Please do not share this link with anyone who is not a co-author.
Firstly, you will have to create a PubPub account. It’s quick and easy.
We are using PubPub to publish this series because of their commitment to community-owned scholarship and open access policies.
This platform lets us set the copyright such that authors own their work and anyone can reuse the work with proper citation and credit.
Additionally, they have a built in submission and review pipeline so your uploaded drafts can be edited and commented on within the platform without having to send drafts back and forth via email or having to upload different versions of documents during the revision process.
Once you have created a PubPub account and have a full draft that’s in APA style, you can submit your draft following the link above and clicking the “Create a submission” button and following the instructions. Again, your drafts are due at end of day November 15, 2024.
Your full drafts will be reviewed by two jury members who will leave in-line comments. We will notify you on December 1, 2024 once those comments are complete, at which point you will be expected to make revisions by January 1, 2025. Following this, we will read your draft once more to ensure our recommendations and suggestions were taken into consideration. We encourage you to reply to comments and annotations as well, this feature is another reason why we chose the PubPub platform for this series. Final drafts will be completed on January 14, 2025 and followed by copyediting, formatting, and proofing for publication on January 21.
November 15, 2024 (AOE): full draft submitted to PubPub portal here.
December 1, 2024: reviewer comments returned to authors
January 1, 2025: revisions by authors due
January 14, 2025: camera-ready deadline (final copy of work for publication)
January 21, 2025: new collection goes live!
Stipends will also be disseminated to authors in January (we will follow up then with details). We may also be in touch with additional opportunities to share your work and participate in our community.
While reviewing your abstracts, our jury members compiled a few recommendations that we think will make for publications of greater interest and wider reach. We recognize that 6 weeks is not much time to prepare a full submission—these are rapid response pieces! With that in mind, here are a few guidelines:
When describing work that is complete or underway, or new methods or tools you have experimented with, your readers will especially want to know what worked, what didn’t, and what can we learn from it?
When describing prospective or future work, think of your task as providing a roadmap that is itself useful to the AI + OER community. Consider answering:
what design decisions are you considering, and what are their affordances?
what resources are necessary for your project? How are these resources accessed?
what does a template look like for implementing your idea, that could be replicated elsewhere?
what are the implications of your idea for the OER ecosystem?
(these questions are also useful to answer regardless of the stage of your project)
Engage the nuance of Open Educational Resources (which differ, for example, from Open Access materials, and from materials in the Public Domain). Where do OER play a role in your work? If you are producing an artifact yourself, is the artifact going to be open? And if not, in the spirit of OER, explain what constraints keep it from being open.
Be specific in your references to AI tools (e.g. Claude 3.5 Sonnet, rather than Claude), where they lie on the spectrum from open to proprietary, and describe how those tools are accessed (including whether they are available offline).
Pay attention to equity issues within an open education ecosystem shaped by AI. Which issues are relevant to your proposal? Which are addressed by your work, and which require future work to address?
Where possible, address the core of our 2024 Call, and speak to the intersection between AI and OER. We understand that there is much valuable work to be done in each realm independently, but all proposals invited for full submission did begin to address the intersection, and we encourage you to engage with it in your full submission.