Dear Researchers and Educators,
In light of the increasing integration of AI tools into education, my recent study revisits Bloom’s Taxonomy, proposing a new framework that integrates next-generation skills to address gaps left unaddressed by AI.
Here’s an overview of the proposed skills aligned with each cognitive level of Bloom’s Taxonomy:
- Remembering: AI Literacy (understanding AI’s capabilities and limitations)
- Understanding: Data Literacy and Interpretation
- Applying: Collaborative Problem-Solving with AI
- Analyzing: Criteria and Output Validation (evaluating AI-generated outputs)
- Evaluating: Ethical Reasoning and Decision-Making
- Creating: AI Content Assessment and Refinement (enhancing creativity with AI tools)
Please read the full monograph at:
http://dx.doi.org/10.13140/RG.2.2.28275.64804
The Goals of this discussion are :
The Key Questions I have at the moment :
Let’s collaborate to refine this framework and ensure it meets the needs of educators and students in an AI-driven educational landscape.
Looking forward to your valuable insights and suggestions!
I suggest adding a skill that comes first in the series of skills mentioned, which is the skill of understanding problems or defining them and putting them in a framework that determines their dimensions before starting the process of using artificial intelligence to produce solutions. In addition to another skill that can be called planning, and its role is to start designing a dedicated plan to deal with the problem at hand.