How Bloom’s Taxonomy is Used in Microlearning to Create a Highly Competent Workforce

bloom's taxonomy

Having a workforce that thinks, creates, contributes and innovates for a business is a dream come true. Bloom’s taxonomy used consciously in microlearning helps you make that happen. It goes a long way in making your microlearning approach purposeful.

Let’s understand how!

Bloom’s Taxonomy- the Basics

blooms taxonomy

Bloom’s pyramid above shows two ends of a continuum.

On one end of the continuum, you have basic capability of your employees being able to just recall facts to perform their jobs. This too is critical in delivering quality and productive work.

On the other end, however, you have the more complex and highly-evolved capabilities where your learners becomes creators and contributors of original work. At this stage learners are able to contribute things that are far more meaningful, valuable and impactful for a business. Now, who wouldn’t to have such high performing and contributing employees!

When you aim at nurturing creative and innovative workforce, you rise above the struggle of dealing with forgetfulness (Ebbinghaus’ forgetting curve).

Gaining mastery in skills helps your workforce to deliver results even in the most demanding, complex and difficult work situations.

It’s nothing short of a jackpot to have a workforce that’s loaded with superior thinking, understanding, comprehension and synthesizing capabilities.

How Microlearning Helps Build Higher Thinking and Innovative Capabilities

By using the microlearning approach in your overall training initiative helps you get sustainable Training ROI. It allows you to incrementally enhance your learners knowledge, skill and capabilities to superior-levels on an on-going basis.

Role of a good microlearning platform

A pre-requisite to do this is a robust microlearning platform that’s fast, fun and truly effective. A good microlearning platform actually helps a learner breeze through these 6 cognitive stages proposed in Bloom’s taxonomy viz. remember, understand, apply, analyse, evaluate and create.

A robust microlearning platform works as a real catalyst in enhancing learner capabilities. Transformation from simple awareness levels to mastery becomes easier when conscious and deliberate efforts are made by Training managers and developers.

Further, a good microlearning platform is also built upon strong algorithms that measure a learners proficiency and learning curve on-the-go. It also offers you insightful data based on relevant parameters like their department, date of joining, and job-profile.

Separately, microlearning content and formats must be designed in a way that transformation from simple remembering what-to-do to a higher-level of contributing original work at workplace becomes easier.

Bloom’s Taxonomy Simplified: the ‘4 Stages’ Classification Used in Microlearning

Given below is the Bloom’s taxonomy in a more simplified version with 4 learning levels.

Awareness Explanatory Practitioner Mastery

A learner progresses to a level of mastery with spaced repetition, by increasing level of difficulty, and offering the same information in different contexts. Each learner can be treated uniquely using a robust AI-driven microlearning platform that not only creates content, but also monitors a learner’s performance based on each one’s learning styles and learning progress.

4 stages explained with an example…

With the right in-built algorithms in a good microlearning platform, you get to measure and quantify a learner’s learning progress through these reclassified 4 stages of Bloom’s taxonomy.

To conclude, a learner’s transition from  Awareness to Explanatory to Practitioner to Mastery makes your organisation truly vibrant. Your workforce gives you a strategic competitive advantage that’s valuable, rare, costly-to-imitate and non-substitutable.

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