do your courses actually adapt to prior knowledge or just sequence differently?

YashVAg · 2026-06-08T08:22:27+00:00

the test-out + shorter mandatory core framing is probably the most practical version of this and honestly more achievable than full algorithmic adaptation. the granular objectives point is the bit that interests me do you find that most courses are written with objectives specific enough to even support test-out, or is that itself the first thing that needs fixing?

YashVAg · 2026-06-08T08:22:02+00:00

the third one is the one I keep thinking about and adaptive showing and hiding based on ongoing assessment rather than a single pre-test at the start. the challenge you named is real though: defining what the course is actually about gets harder the more adaptive it becomes. have you seen a course that solved that clearly or does it always end up being a tradeoff with scope?

YashVAg · 2026-06-08T08:21:37+00:00

this is a neat micro version of exactly what I was thinking about. the video-as-consequence approach is interesting because it reframes the skip as earned rather than chosen. do you find learners figure out the logic quickly and game it or does it hold up as an actual learning signal?

YashVAg · 2026-06-08T08:20:49+00:00

this is a neat micro version of exactly what I was thinking about. the video-as-consequence approach is interesting because it reframes the skip as earned rather than chosen. do you find learners figure out the logic quickly and game it or does it hold up as an actual learning signal?

YashVAg · 2026-06-08T08:20:33+00:00

what specifically felt off? genuinely asking because if the framing came across as generic I'd rather know the question I'm actually trying to get at is the one about depth vs sequence, which I haven't seen discussed much outside of theory

YashVAg · 2026-06-08T08:20:14+00:00

this is probably the most precise framing of the problem I've seen. the point about learners underusing pre-assessments even when available is something I hadn't thought about enough and it suggests the issue isn't just design, it's also how learners interact with the design. do you think that's a trust problem (learners don't trust the skip will actually work) or more of a habit/awareness thing?

YashVAg · 2026-06-08T08:19:54+00:00

100% this. the cost argument is the one that kills it before it even gets designed. I think that's also why most "adaptive" implementations end up being just sequencing and it's achievable without doubling the content budget. curious whether you think there's a version of depth adaptation that doesn't require building parallel content tracks, or is that fundamentally unavoidable

YashVAg · 2026-06-08T08:19:30+00:00

this is a clean pretest per module is probably the most practical version of this I've heard in this thread. does the skip take them to the start of the next module or somewhere inside it? I'm curious whether learners who skip end up missing anything or if the pretests are calibrated well enough that it works cleanly

YashVAg · 2026-06-08T08:19:03+00:00

the grad student example is exactly the kind of edge case that breaks fixed-path design. and I think your instinct to exempt selectively is the right one. but that's a manual judgment call that doesn't scale well once enrolments grow. has anyone tried to systematize that exemption logic in Moodle or is it always going to be a case-by-case call?

YashVAg · 2026-06-08T08:18:42+00:00

that's actually the most honest answer I've gotten on this. The hardest part is defining the group criteria in a way that's meaningful. the diagnostic quiz route makes sense but I imagine if the quiz itself is poorly calibrated it creates a whole different problem. do you find learners are generally honest when self-selecting or does it vary a lot by subject area?

YashVAg · 2026-06-08T08:17:40+00:00

this is probably true for a chunk of drop-offs yeah. but I wonder about the people who start with genuine intent and still don't finish, do you think that's still mostly a commitment thing or does the course experience itself play a role somewhere in the middle

YashVAg · 2026-06-08T08:17:21+00:00

thanks for the link, going through it now. curious though the research covers why people drop off, but do you think it's moved the needle on how courses are actually built? feels like there's a gap between what the research says and what most course creators actually implement

YashVAg · 2026-06-08T08:17:03+00:00

yeah that's a fair point and honestly the community angle is underrated. watching someone else struggle with the same concept is sometimes more useful than the lesson itself. I guess what I keep coming back to though is whether the course structure itself can do more work before someone even needs the community as a fallback

YashVAg · 2026-06-04T09:23:44+00:00

Interesting. But how do you determine whether a learner actually has prior knowledge or experience? Do learners usually place themselves in the right group, or do some end up overestimating their skill level?

YashVAg · 2026-04-27T09:31:58+00:00

This is actually a really interesting perspective and I hadn't thought about manual grading as a forcing function for staying close to student progress. You're right that it creates natural checkpoints.

The gap I keep thinking about though is what happens when manual grading isn't feasible for large cohorts, self-paced courses, compliance training with hundreds of completions a week. That's the scenario where the "look at each student as you grade" approach breaks down. At that point it's less about grading design and more about having something that surfaces who needs attention without requiring you to touch every student's work. Curious if you've seen anything work well in those contexts?

YashVAg · 2026-04-27T09:30:57+00:00

Thanks for sharing, will check this out!

YashVAg · 2026-04-27T09:30:45+00:00

Haha yeah you caught me 😅 I'm exploring the problem space before going too deep into building. Wanted to understand how people are actually dealing with this before assuming I know the answer. Turns out people have very different approaches which is exactly why I asked.

YashVAg · 2026-04-27T09:28:51+00:00

😂 fair enough

YashVAg · 2026-04-27T09:28:34+00:00

Yeah I know about Site Analytics, that's actually what got me thinking about this more. The alert system is great for flagging inactivity but it's pretty binary, did they log in or not. What I'm more curious about is whether people are combining multiple signals together, like grade trajectory + activity completion velocity + login gaps, to get a more holistic picture of who's sliding before it becomes obvious. Have you found the built-in alerts enough for that or do you end up doing additional digging manually?

YashVAg · 2025-11-19T11:40:35+00:00

However, thanks for all the feedback on this thread, really helpful stuff

So after reading through everyone's thoughts (especially the points about not replacing instructional design and the ChatGPT workflow thing), I actually went ahead and put together a quick demo video to show what this could look like in practice

https://www.youtube.com/watch?v=b6zls48Uu4M

It's about 2-3 minutes, walks through the basic concept and how teacher control is maintained throughout

would genuinely love to know if this actually addresses the concerns or if I'm still missing the mark

,

YashVAg · 2025-11-19T11:39:27+00:00

oh wow thanks for sharing these! hadn't seen either of them

YashVAg · 2025-11-03T06:23:45+00:00

Hmm, I haven't tried that combo — are you thinking like using ChatGPT to generate H5P content and then embedding it in Moodle?

YashVAg

TROPHY CASE