One of the most exciting moments in my Multimedia Learning course was realizing how deeply I could relate to Mayer’s multimedia design principles.
As I worked through The Cambridge Handbook of Multimedia Learning (2021), I kept thinking:
“Wait — I’ve been doing this.”
I didn’t know the formal names. I didn’t always frame my decisions in terms of cognitive load theory. But as an instructional designer, I’ve been applying most of these principles long before encountering them in academic language.
Reading the handbook felt less like discovering something entirely new — and more like finding the research foundation behind my design instincts.
Mayer organizes multimedia design around three instructional goals:
- Minimize extraneous processing
- Manage essential processing
- Foster generative processing
And once I started mapping these goals onto my own work, everything clicked.
Three Instructional Goals in Multimedia Learning
| Goal | Principle | Description | How I’ve Been Using It |
|---|---|---|---|
| Minimize Extraneous Processing | Coherence principle | Eliminate irrelevant material | Avoiding decorative visuals that don’t serve learning objectives |
| Signaling principle | Highlight essential material | Using color, layout, arrows, and hierarchy to guide attention | |
| Redundancy principle | Avoid adding printed text to spoken text | Not crowding slides with paragraphs when narration explains the idea | |
| Spatial contiguity principle | Place text near corresponding graphics | Labeling directly on diagrams instead of separating captions | |
| Temporal contiguity principle | Present narration and graphics simultaneously | Synchronizing visuals with explanation | |
| Manage Essential Processing | Segmenting principle | Break presentation into parts | Designing microlearning modules and chunked content |
| Pre-training principle | Introduce key elements before lesson | Teaching terminology before introducing complex systems | |
| Modality principle | Use spoken rather than printed text | Preferring narration over dense text when visuals are present | |
| Foster Generative Processing | Multimedia principle | Use words and pictures rather than words alone | Pairing explanations with diagrams |
| Personalization principle | Use conversational style | Writing directly to the learner in a human tone | |
| Voice principle | Use human voice | Recording real narration instead of robotic delivery | |
| Embodiment principle | Use human gestures and presence | Including instructor presence in videos | |
| Emotional design principle | Prime positive emotion | Choosing warm, clean, inviting design aesthetics | |
| Generative activity principle | Provide learning prompts | Adding reflection questions after content segments | |
| Guided discovery principle | Provide hints and feedback | Designing scaffolded practice tasks | |
| Mapping principle | Create concept maps | Encouraging learners to build visual frameworks | |
| Self-explanation principle | Ask learners to explain to themselves | Embedding short explanation prompts | |
| Drawing principle | Ask learners to draw | Asking learners to sketch processes | |
| Imagination principle | Ask learners to imagine visuals | Prompting mental simulation |
Here’s a video of Richard Mayer explaining these principles:
Where It Felt Personal
Minimizing Extraneous Processing
I’ve always disliked cluttered slides. Even before studying CTML, I removed decorative elements that didn’t serve the learning goal. The coherence principle validated that instinct immediately.
Signaling? I’ve been intentionally using contrast, white space, and hierarchy for years to guide attention. Seeing the cognitive explanation behind it made me appreciate those choices even more.
And redundancy, that one really resonated. Early in my career, I overloaded slides with text. I learned quickly that learners disengage when they’re forced to read and listen simultaneously. Mayer’s explanation of split attention gave that experience a clear theoretical foundation.
Managing Essential Processing
Segmenting is probably the principle I’ve relied on most consistently.
I rarely design long, uninterrupted lessons. I chunk content. I create microlearning modules. I build pacing into instruction. It always felt right — now I understand why.
Pre-training is another habit I’ve used intuitively. Before diving into complex systems or models, I define key components first. I didn’t call it “pre-training,” but that’s exactly what I was doing.
Fostering Generative Processing
This is where I saw myself most clearly in the framework.
I naturally:
- Write conversationally (personalization)
- Include reflection prompts (generative activity)
- Encourage learners to explain ideas back (self-explanation)
- Use visual frameworks (mapping principle)
Even emotional design — which initially surprised me — aligns with my design preferences. I’ve always chosen warm, clean visuals because they “feel better.” I didn’t expect that emotional tone could influence cognitive engagement, but it makes sense when considering motivation and effort.
What Changed for Me
Reading the handbook didn’t completely transform my practice — it refined it.
Before, I designed based on:
- Experience
- Observation
- What “worked” in the field
Now, I design with:
- Explicit awareness of working memory limits
- Clear distinctions between extraneous, essential, and generative processing
- Research-backed confidence
It’s empowering to realize that many of my instincts as an instructional designer align with decades of cognitive research.
Final Reflection
The biggest takeaway for me wasn’t just learning new principles. It was recognizing that good instructional design — when done thoughtfully — often aligns naturally with how the human mind works.
Now I just have the language, theory, and evidence to explain why. And that makes my practice stronger.
Mahbub Amin 