article thumbnail

Taxonomy of Learning Theories

E-Learning Provocateur

Academia is teeming with learning theories. It can be quite a challenge for the modern learning professional to identify an appropriate learning theory, draw practical ideas from it, and apply it to their daily work. Which theory do you choose? How does it relate to other theories? Where do you start? Overarching themes.

article thumbnail

I don’t know

E-Learning Provocateur

And our test takers respond in kind – whether it’s via “when in doubt, pick C” or by madly selecting the remaining options in a quasi zig-zag pattern as they run out of time. But that’s precisely the kind of behaviour we don’t want to see on the job!

Theory 354
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Benefits of Scenario-Based Learning

Experiencing eLearning

After completing a few exercises, they build their own view of the patterns that are evident and are able to move into a new scenario with confidence even if the environment and scenario is radically different. Situated learning.

Benefits 280
article thumbnail

10 Strategies to Combat the Ebbinghaus Retention Curve

Learning Everest

The Ebbinghaus retention curve, also known as the Ebbinghaus forgetting curve, is a theory on memory that states that humans forget almost 70% of new information within the first 24 hours of learning it. The Ebbinghaus retention curve illustrates the importance of reinforcement and revision for effective, long-lasting learning.

article thumbnail

Agile Microlearning Explained

Cognitive science theories already supply the answers. Learner engagement and retention doesn’t have to be a mystery. Learn how OttoLearn packages them into a single platform you can use to deliver microlearning based reinforcement training, and go beyond completions to focus on outcomes.

article thumbnail

Scaling Up

E-Learning Provocateur

For example: The NIH Proficiency Scale maintains Not Applicable, Fundamental Awareness (basic knowledge), Novice (limited experience), Intermediate (practical application), Advanced (applied theory) and Expert (recognized authority). No doubt each of these scales aligns to the purpose for which it was defined.

article thumbnail

The Future of Microlearning

Upside Learning

This includes having the ability to create schedules for delivery, or pattern-driven engines that are smart about delivery. We need data and then theories about how to do it best. However, it may be more useful at times to push for help to someone who may not even be aware of the opportunity. Further, we’d like standards.