Online learning gives students something a classroom often can't ... flexibility over where and when they learn, sometimes even how.
That flexibility doesn't fix a bad course, though.
You can hand a student a top-tier LMS, hundreds of recorded videos, a dozen different tools, and they can still end up lost. Confused about what's due. Not sure where half the materials even live. A polished platform means nothing if the course underneath it wasn't actually designed with a student in mind.
Good online learning is a design problem, mostly. Clear expectations. Materials people can actually get to. Feedback that shows up while it still matters. Somewhere obvious to go for help. Get those wrong and even the fanciest LMS just feels like a folder of files someone dumped and forgot about.
Below is a working list of dos and don'ts: what institutions should be doing, what tends to backfire, and what students are reasonably owed from a course built with them in mind.
Why This Actually Matters
Move a class online and the whole dynamic shifts. How students reach an instructor. How they talk to classmates. How assessments even work. Structure isn't optional here, it's basically the whole thing.
The Quality Matters Higher Education Rubric judges online courses on learning objectives, assessments, materials, learner interaction, technology, support, accessibility, usability. Notice what's missing from that list: nothing about how much content exists. Because that was never really the point. What matters is whether content, activities, assessment, tech, and support actually connect to something. Institutions need structured learning solutions built around that, not just a pile of resources.
Do that well and students stop wasting time figuring out the platform. They just learn.
The Dos
1. Make navigation genuinely simple
Nobody should be hunting through four menus for today's lesson, or a deadline, or what the assignment even wants.
A well-built course feels predictable. Same layout for every module. Resources labelled the way a human would label them. Deadlines you don't have to go looking for. Instructions that don't need a second read. Content in an order that actually makes sense.
Students should be able to answer, at a glance: where am I, what's next, who do I ask if I'm stuck. Decent instructional design services nail this part first, before anyone starts adding bells and whistles. The point was never to build something impressive-looking. It's to get out of the student's way.
2. Say what success actually looks like
Students need to know, in plain terms, what they're aiming for. Every module should open with what they're supposed to learn, what they need to do, how it'll be graded, when it's due, what tools they'll need.
And the pieces have to line up. If a module promises students will learn to analyze something, but the quiz just asks them to define a term, that's a mismatch, and students notice, even if they couldn't tell you exactly why something feels off.
Clear expectations also kill a lot of anxiety. Nobody should be guessing whether attendance counts, how much participation matters, or how a grade actually got calculated.
3. Get feedback to students while it can still help
A grade tells someone what already happened. That's it. Feedback tells them what to actually do differently, which is a different job entirely, and a more useful one.
SUNY Online's guidance is pretty blunt about this: feedback needs to be frequent, timely, and actually useful, or it's just noise. That can look like comments from an instructor, explanations tied to an assessment, rubrics, quick automated checks, one-on-one conversations, peer review when it fits.
Institutions putting together digital assessment infrastructure need to think past just delivering a test and grading it. The data from an assessment should be doing something, pointing to gaps, flagging misconceptions, showing a student how they're actually trending.
4. Don't let "online" mean "alone"
Students need real touchpoints with an instructor, with each other, with the material. Live sessions. Discussion boards. Peer review. Group work. Q&A. Office hours.
Even a fully asynchronous course needs to feel like someone's behind it. Not just a content-drop-and-wait situation.
Institutions running both online and in-person formats can lean on blended learning to figure out what actually works better live, what works better async, and what needs a room. The format's not really the point, every interaction just needs to build understanding, give practice, or actually connect people.
5. Build accessibility in from the start, not after a complaint
Accessibility has to be baked into the design, not patched in once a student hits a wall they shouldn't have hit in the first place. Missing captions, documents nobody can read with a screen reader, pages with no real structure, tools that don't work with a keyboard alone, these are all barriers institutions create, usually by accident.
The U.S. Department of Education is pretty clear on this: students with disabilities need actual access to digital resources, not a workaround someone builds after the fact.
That means checking captions and transcripts, heading structure, contrast, alt text where it matters, keyboard navigation, screen reader compatibility, PDFs that are actually usable, link text that makes sense out of context.
Building it in from the workflow up is almost always easier than fixing it after launch. For a student, this isn't a nice extra. It's whether they can participate at all.
6. Design for more than one way of learning
Not everyone learns the same way, obviously, but courses often act like they do. One student needs a diagram. Another needs to sit with text and reread it slowly. Someone else only gets it once they watch it demonstrated.
CAST's Universal Design for Learning guidelines push toward multiple ways in, not a custom course per student, just real flexibility inside one course. Text, diagrams, short demos, practice exercises, downloadable stuff people can revisit.
Give students more than one on-ramp and they can actually reach the objective, instead of getting stuck because the one format offered didn't work for them.
7. Make support impossible to miss
Students need to know exactly where to go the second something breaks, and that shouldn't require five clicks into the LMS to find. Tech support, instructor contact info, academic help, accessibility assistance, all of it should be visible from day one, not buried in a syllabus PDF nobody opens.
Institutions should also be watching for students who start missing things. Small problems snowball fast online. A student stuck on Monday shouldn't still be searching for help when the deadline hits Friday.
LMS course builds worth trusting account for the whole student journey. Not just "did the content get uploaded."
8. Have an actual position on AI
Generative AI has thrown a genuinely new question into the mix: when is it fine for a student to use it, and when does it tip into something dishonest? Institutions can't leave that ambiguous.
The 2025 EDUCAUSE Students and Technology Report treats generative AI as tied up with accessibility, engagement, and tech support, not some separate issue off in a corner.
Courses need to say plainly whether AI is allowed, on which assignments, how much disclosure is expected, how AI output should be checked, how academic integrity applies here, what students should know about privacy. Institutions leaning into AI-powered learning need that governance sorted before the tools ever touch a course, not scrambled together after something goes wrong.
The Don'ts
Just as important as the dos, honestly. A few habits quietly wreck otherwise solid programs.
1. Don't dump content and call it a course
Forty PDFs, twenty slide decks, a bunch of hour-long recordings, none of that is a course by itself. Students need the connective tissue: how the information links to the activity, and how that activity leads to what they're graded on.
Good custom e-learning content should answer three things without much effort: what's the student learning, what are they supposed to do with it, how will they show they got it. If a course can't answer those cleanly, more content isn't going to fix it. It'll just add noise.
2. Don't chain students to a screen for hours
Online was never supposed to mean an entire school day on video calls. Long sessions go passive fast, no matter how good the instructor is.
Break things up. Explanation, then practice, then a pause, then discussion. Adaptive learning can help here too, letting the path shift based on how a student's actually doing instead of marching everyone through the same content at the same speed. Screen time was never a real measure of quality. What's happening during that time is.
3. Don't assume everyone's got fast internet and a decent laptop
A course that only works with a strong connection and a powerful machine quietly locks out students who don't have either. And this isn't rare — UNESCO has pointed to real, ongoing gaps in connectivity worldwide.
Design for the conditions people actually have. Mobile-friendly layouts. Compressed media. Downloadable versions. Transcripts. Offline options where you can manage it. File sizes that won't choke a weak connection.
4. Don't let students wonder if anyone's actually there
Silence reads as absence. Slow replies, vague updates, weeks without a word, even a well-run course can start to feel automated if the instructor seems checked out.
Set expectations up front: how to reach them, roughly how fast they'll respond, when live help is available, where general questions go, how to raise something serious. Tech should support the teaching. It shouldn't be a substitute for a person showing up.
5. Don't add tools just because they exist
More apps rarely means better learning. Every new tool is another login, another interface, another notification, and often another thing that just breaks at the wrong moment.
Before adding anything, ask one plain question: what learning outcome does this actually support? If there's no clean answer, that's the answer. The right education technology solutions remove friction or make something possible that wasn't before. Tech should serve the design, not run it.
6. Don't sit on the data you already have
Institutions aren't short on signals. Completion rates, assessment scores, attendance, activity logs, direct feedback, it's all there, usually pointing at trouble long before final grades confirm it.
Don't wait until the end to find out half the class was lost since week three. Regular check-ins, short surveys, formative assessments catch this early. A structured learning readiness approach can also flag, ahead of time, which students are going to need extra academic, technical, or study support.
Quick Checklist
Do
- Keep navigation simple
- Set clear expectations
- Align activities with learning outcomes
- Give timely feedback
- Keep an instructor visibly present
- Build in real interaction
- Design for accessibility
- Put support in plain sight
- Design for different ways of learning
- Set clear AI policies
- Keep an eye on progress data
Don't
- Dump content with no structure
- Make students hunt for basics
- Rely entirely on long lectures
- Assume everyone has ideal connectivity
- Treat accessibility as optional
- Add tech without a reason
- Leave students without feedback
- Bury support resources
- Allow AI use with no rules attached
- Wait until the end to notice problems
What a Good Course Should Feel Like
Students don't need to know anything about instructional design to recognize when a course works. They just feel it.
They know what they're learning. What's next. When it's due. Where to find things. How they're being graded. Where feedback shows up. Who to ask, and how, when something's unclear.
SUNY's current guidance for online students also points at the student's side of this, managing time, checking in on progress, actually participating, asking for help before it piles up.
Because this really is shared. Students have to show up and manage their own end. Institutions have to build something where that's actually doable. For any school or provider, that means course design, content, tech, assessment, and support have to move as one thing, not five separate ones, true across both K-12 and higher education.
Last Thought
The best online programs were never the ones with the most tech piled on top. They're the ones where students can just... learn.
Easy to navigate. Clear expectations. An instructor who's actually there. Feedback that lands while it matters. Accessibility built in, not bolted on. Technology used because it does something, not because it's available.
That's really the whole standard: students should know what to do, why they're doing it, how they're progressing, and where to go when they're stuck. Get that right, and online learning stops feeling like a pile of files and starts being what it was meant to be.
Institutions working on a digital learning program can reach out to eQOURSE to talk through course structure, content, accessibility, LMS delivery, and assessment.