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What Opportunities are there for Instructional Designers  &  Developers?

Adobe Captivate

Knowledge of following theories and models: Situated Cognition Theory. Sociocultural Learning Theory. Bloom’s Taxonomy Of Learning Objectives. Knowledge of eLearning authoring tools such as Captivate. The ADDIE Model. Merrill’s Principles Of Instruction. Individualized Instruction.

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Top 100 eLearning Items

Tony Karrer

Using eLearning Learning , I thought it would be interesting to go look what it thinks are some of the top items of all time. Learning 2.0 - The Things How we read online. - Tools Collaborative Learning Using Web 2.0 Tools - A Summary PR 2.0: Tools Collaborative Learning Using Web 2.0

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What is Instructional Design? Our Guide to Everything you Need to Know

Growth Engineering

When you put it like this, it’s clear that instructional design can be a tool for changing the culture of your organisation. What Learning Theories Should you Know? Then you will need to create your online learning using an authoring tool like Genie. . What are the Big Learning Theories you Need to Know?

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Top 113 eLearning Posts and 28 Hottest Topics for 2010

eLearning Learning Posts

Performance Learning Productivity , May 28, 2010. Course Content Authoring Tools – Open Source (Free) - eLearning 24-7 , June 7, 2010. Taxonomy of Learning Theories - E-Learning Provocateur , January 12, 2010. Instructional Design and E-Learning Blogs - Experiencing eLearning , July 6, 2010.

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Product Review Raptivity

eLearning 24-7

Raptivity is an interaction tool. Its target audience is the rapid content authoring tool market, but while it tries to hit it, it also misses at many levels. Raptivity calls their product an interaction tool with templates, games, simulations, etc. Product: Raptivity. This is somewhat erroneous. SCORM 2004/1.2,

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How microlearning can result in deep learning

Ed App

Cal Newport, academic and author of Deep Work , stresses that ‘to remain valuable in our economy you must master the art of quickly learning complicated things.’ It turns out that efficient learning doesn’t necessarily equate to shallow learning, and such associations between depth and length are misguided.