Express Learning Series - Bloom's Taxonomy in Healthcare Simulation
Welcome to another episode of the Healthcare Simulation Middle East podcast, where we explore Blooms Taxonomy - a key tool in healthcare education. Picture mid-twentieth century when pioneers like Benjamin Bloom were laying learning theory foundations. Bloom's taxonomy is an educational guide for structured learning.
Now let's delve into this taxonomy. It presents cognitive skills as steps: remembering, understanding, applying, analyzing, evaluating and creating - a staircase to mastery. This framework shapes how we design simulation scenarios in healthcare education.
Consider learners recalling vital medical details and comprehending their implications before applying this knowledge in simulated clinical situations. Teaching aspiring professionals begins with memorizing patient signs such as heart rate and blood pressure. They then understand these numbers' relation to well-being before interpreting signs for decision-making.
For experienced educators, Bloom's taxonomy offers new perspectives through complex simulations like high-stress trauma cases that require data analysis, evaluation of interventions and creative problem-solving strategies for improved patient outcomes.
To engage learners using Bloom’s Taxonomy start simple by introducing concepts related to remembering and understanding; gradually move towards more intricate scenarios requiring application, analysis and evaluation of information. For seasoned pros encourage collaborative research projects encouraging creative thinking.
In conclusion remember that Blooms Taxonomy forms the core of our educational approach promoting stages of learning transforming students into adept professionals – it keeps your healthcare simulation alive with learning! Until next time stay curious on this wave of educational transformation from the Healthcare Simulation Middle East podcast.
Fueled to learn more about Bloom's Taxonomy? Go here: https://www.britannica.com/topic/Blooms-taxonomy
Information
- Show
- PublishedSeptember 1, 2023 at 11:02 AM UTC
- Length3 min
- Season1
- Episode1
- RatingClean