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Applied Neuroscience in Instructional Design Course

Applied Neuroscience in Instructional Design Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

The Applied Neuroscience in Instructional Design Course shows you how memory, attention, and cognitive load shape learning, then turns research on spacing, retrieval, and practice into clear design patterns. Build multimedia lessons, microlearning, and interactive activities, run rapid prototypes, and align assessments with real performance so every module is efficient, engaging, and scientifically grounded.

Elevify advantages

Develop skills

  • Design cognitive-friendly lessons: apply chunking, dual coding, and load control.
  • Build practice that sticks: use spacing, retrieval, and desirable difficulties fast.
  • Create transfer-ready training: authentic tasks, job aids, and workplace assessments.
  • Produce engaging e-learning: microlearning, multimedia scripts, and interactions.
  • Optimize learning impact: data-driven feedback, A/B tests, and smart analytics.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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