You will be assigned dedicated tickets on which to log time. Until then, feel free to ignore this thread.
This is the brainstorm thread for talks topics for the 2026 conference.
There will be three tasks - the current one for the brainstorm, a second one for voting and assignment, and a final one to write up the actual proposals. The whole team participates in brainstorming talk ideas and submitting them, regardless of who actually attends the conference.
Timeline
Current task
- Submit three talk ideas.
- Also comment on any issues you think may have resulted in us getting fewer acceptances last year, and any ideas you think might make talks more viable this year.
Next sprint
Weāll vote on the talk ideas and assign them from the top rated ones.
First new sprint in January
We will write, review, and submit talks.
Getting ideas
You can read the same thread from previous years for ideas:
Avoid suggesting tutorials or āHOWTOsā - these ideas are easy to get, but they take a lot of work and time to prepare afterwards, and usually have smaller attendance.
In general, try to focus on talks that our clients or prospects might attend - it helps a lot if itās not only technical, but also focuses on outcomes for the learners and the instructors, or the community at large.
Think about what you have worked over the last year ā what got you or our clients excited? The more you use materials you have already worked on, the easiest it will be to prepare the talk. Avoid new topics or ideas specifically that require development or research specifically for the talk.
Be opinionated in your talk title (think of what would make you click on an article title) - it should attract the attention, and make people curious about what you are going to say.
Information based on last years agenda:
AI was very heavy last year. It may have been a component in the majority of talks. My perception is that the excitement has cooled somewhat but I donāt think weāre in the trough of disillusionment just yet, so submitting talks with an AI bent is probably still a viable approach.
Another big one is showing off new product features weāve developed and cool things you can do with them.
A third was talks that covered topics that are useful for MOOCs in particular-- Projects that deal with scale and data.
Consider the above categories first, but if you have something you think is especially interesting that doesnāt fit into this category, still submit it. We donāt want things to be too homogeneous, after all ![]()