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You have all had this experience. You want to make a pie, and you end up on one of those recipe websites. Fourteen pop-ups. A heartfelt story about a childhood trip to a pumpkin patch. Three unrelated photos of someone's toddler in a sweater. And somewhere buried under 'what fall means to our family' the actual recipe.

It's deeply frustrating.

Now, gently, with zero judgment: your course might feel exactly like that to your students.

They're not looking for the backstory. They're looking for the recipe. And if they have to dig for it, something has already gone wrong. Not because they're lazy, but because the design is working against their brains.

That's what Cognitive Load Theory is about. And once you understand it, you can design with it instead of against it.

What is Cognitive Load Theory?

Cognitive Load Theory (CLT), originally developed by educational psychologist John Sweller in 1988, starts with one deceptively simple premise:

Learning doesn't stop because students aren't smart enough or aren't trying hard enough. It stops because the design of the learning environment is making too many demands on a system that simply can't handle them all at once.

Contemporary research often estimates working memory capacity at roughly four chunks of information at a time, depending on the learner, the task, and how familiar the material is — not the seven items that were widely cited for decades.

CLT identifies three types of cognitive load. Think of working memory as a bucket. Each type fills that bucket differently:

Intrinsic Load

The inherent complexity of the material itself. How many concepts must be held in mind at once. Tax law is harder than file uploads. You can't eliminate this, but you can sequence it thoughtfully.

Extraneous Load

The load caused by poor design, scattered navigation, unclear instructions, and redundant content. This is the one instructors often have the most direct control over. Reducing unnecessary extraneous load is one of the most consistent practical implications of Cognitive Load Theory.

Germane Load

The mental resources devoted to making sense of new material and building lasting understanding. Not a separate 'type' so much as what happens when extraneous load is cleared away.

"Why Don't Students Get It?"

Here's something instructors rarely hear: students don't experience your course the way you built it.

You built it knowing where everything is. You know why Week 3's reading connects to Week 6's assignment. You know that the folder labeled 'Resources' contains the rubric. That context lives in your head not theirs.

What your students experience is more like walking into a house in the dark, in a city they've never visited, looking for the bathroom. Every second they spend figuring out where things are and what they're supposed to do is a second they are not spending actually learning your content.

This is true whether you teach online, hybrid, or face-to-face. A confusing syllabus creates cognitive load. A lecture that introduces eight new concepts in forty minutes creates cognitive load. A PowerPoint with dense text while you read the same words aloud can create unnecessary cognitive load. This is related to what researchers call the redundancy effect: presenting identical information in competing ways can increase mental effort rather than reduce it. (More on this in Part 4, on Mayer’s 15 principles.)

What This Actually Looks Like

Example 1: The 'Everything Everywhere All at Once' Module

You've seen it or built it. Eight items in a folder with no clear order, instructions scattered in multiple places, and no signal about what to do first.

Before - High Extraneous Load

After - CLT Aligned Design

Same content. Radically different cognitive experience.

Example 2: Instructions That Require a Treasure Map

If a student has to read your assignment prompt more than once just to understand what you're asking for, that's extraneous load doing its quiet damage. The mental effort should be spent doing the assignment not decoding it.

Before - High Extraneous Load

After - CLT Aligned Design

Research on the worked-example effect shows that models of successful performance can reduce unnecessary cognitive load and improve performance, especially early in a learning sequence and particularly for novices. (To help with CLT-aligned design you can use the TILT framework detailed in this blog post)

Example 3: The Split-Attention Effect

If your diagram is on one slide and the explanation is on the next, students are spending cognitive effort toggling between them instead of understanding the concept. CLT calls this the split-attention effect. The fix is often simple: put the label next to the thing it labels, and keep explanations close to the visual students need to interpret. Annotation, labels, arrows, and guided prompts can help students integrate related information instead of searching for connections on their own.

Example 4: The Week 1 Overload

Many courses front-load the semester with complex content. For some students, that early overload creates confusion, delay, and a loss of confidence that can be difficult to recover from.

Before - High Extraneous Load

After - CLT Aligned Design

When More Support Hurts: Mixed-Experience Classrooms

Here’s a finding from the research that surprises almost every instructor who hears it for the first time: the extra support and guidance that helps your beginners can actually hurt your advanced students.

This is called the expertise reversal effect. The detailed worked examples, the step-by-step guidance, the embedded explanations all of this is enormously helpful for students encountering material for the first time. But for students who have already built some knowledge in an area, that same structured support becomes redundant information they have to process and set aside. It adds extraneous load rather than reducing it.

What does this mean in practice? In courses with mixed experience levels, which is most courses, one-size-fits-all design is rarely optimal. As students gain proficiency, consider gradually reducing the guidance and support you provide: offer optional worked examples rather than required ones, provide structure for those who want it rather than building it into the main path.

A Word About Students Who Carry Extra Load

Cognitive Load Theory focuses on instructional design and what you can control. But it's worth naming something the research increasingly acknowledges; not all cognitive load originates in the classroom.

Students with accessibility needs, students managing jobs and caregiving responsibilities, students for whom English is a second language, and students navigating financial or emotional stress all arrive at your course carrying cognitive demands that no redesign will fully address. Affective factors like anxiety, stress, and emotional strain have been shown to deplete working memory resources in ways that compound the load your design creates.

Good course design doesn't solve this. For students already operating at or near cognitive capacity, a clear, well-structured course is not a convenience; it's a support issue.

Six Things You Can Do This Week

No full course redesign required. Start with one.

01. Chunk Your Content

02. Use Consistent Structure

03. Cut the Redundancy

04. Show What 'Good' Looks Like

05. Keep Visuals and Explanations Together

06. Build Complexity Gradually

Remember This: Design is Care

Every time a student sits down with your course, your syllabus, your slide deck, or your handout, they bring a brain with limited working memory capacity. That capacity doesn't expand because the deadline is close or because the material is important.

The question isn't whether you care about your students' learning. You clearly do; you're reading this. The question is whether your design reflects that care. So next time you build a module, write a prompt, or put together a handout ask yourself: am I teaching, or am I making my students dig for the recipe?

References

1. 1

   Barbieri, C. A., Miller-Cotto, D., Clerjuste, S. N., & Chawla, K. (2023). A meta-analysis of the worked examples effect on mathematics performance. Educational Psychology Review, 35, Article 11.

2. 2

   Tetzlaff, L., Simonsmeier, B. A., Peters, T., & Brod, G. (2025). A cornerstone of adaptivity: A meta-analysis of the expertise reversal effect. Learning and Instruction, 98, Article 102142.

3. 3

   Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer.

4. 4

   Winkelmes, M.-A., Boye, A., & Tapp, S. (Eds.). (2019). Transparent design in higher education teaching and leadership: A guide to implementing the transparency framework institution-wide to improve learning and retention.