Estimated reading time: 4 minutes
Bloom’s Taxonomy is a framework utilized by trainers and educators to ascertain learning goals. It was developed by a gaggle of educators chaired by Benjamin Bloom in 1956. It stays a worthwhile and widely used tool that’s adaptable to changing environments. And it has strong application for learning artificial intelligence. The framework has six levels.
- Knowledge is with the ability to remember information. An example could be that a brand new marketing worker is in a position to remember login to the corporate’s social media accounts.
- Comprehension is with the ability to understand the meaning of data. Our latest marketing employees can understand the corporate’s social media metrics like connections, engagement, etc.
- Application is with the ability to use the knowledge to unravel problems. The marketing worker can arrange automation tools that can disseminate social media posts on the optimum time for engagement.
- Evaluation is with the ability to break down individual components in order that they could be understood. The marketing worker can conduct an evaluation of promoting spend to indicate where the corporate is getting one of the best return on their investment.
- Synthesis is using knowledge for brand new purposes. The marketing worker can recommend latest promoting channels based on the knowledge they’ve received.
- Evaluation is judging the worth of data. The marketing worker is actively involved in developing latest marketing campaign messages.
The rationale Bloom’s Taxonomy is very important is because after we take into consideration learning, we want to come to a decision what level of coaching an worker should receive. For instance, during orientation, our goal is perhaps to easily provide knowledge. Then later during onboarding, the goal may very well be to supply comprehension. The educational goal drives the content development. There’s no reason to supply a learning experience on the evaluation level if the goal is application.
Let me add … this isn’t to insult anyone. We’re not saying that individuals aren’t able to learning at the several levels. We’re saying that learning sessions must be aligned with the training goal. Since the variety of learning, the length of learning, and the exercises included in the training must be appropriate for the specified consequence. There’s no reason to have a one-day session if a one-hour session will accomplish the goal.
I desired to speak about Bloom’s Taxonomy today because this framework could be very helpful in designing worker learning for artificial intelligence (AI). If organizations are going to make use of AI, then they should know what level of Bloom’s Taxonomy the AI technology can provide. Is it simply knowledge? Or is it application?
And once organizations know what their AI technology can provide, then they should design learning experiences so employees can effectively work with AI. Using our marketing worker example above, let’s say the corporate’s AI will find a way to do knowledge, comprehension, and application. Well, then employees might want to do the evaluation, synthesis, and evaluation part. And in the event that they don’t currently have that level of skill, they’ll have to receive training and development. As well as, employees should receive training in order that they can effectively work with AI technology on the knowledge, comprehension, and application tasks.
Frameworks like Bloom’s Taxonomy could be helpful in designing learning roadmaps for workers to not only learn their jobs but work with emerging technologies like artificial intelligence. It would take some research and planning to design the right learning goals.
Image of blooms captured by Sharlyn Lauby while exploring EPCOT Center in Lake Buena Vista, FL
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