Why is metacognitive reflection so important when using AI?
Jinfo Report
26th August 2025
Abstract
This report introduces the concept of “metacognitive reflection”, and explains why it’s an essential skill for information professionals working with AI.
It includes examples of how to apply metacognitive reflection and practical tips for developing metacognitive habits.
It includes examples of how to apply metacognitive reflection and practical tips for developing metacognitive habits.
Contents:
- Introduction
- What is metacognitive reflection?
- Why is it important when using generative AI?
- Distinguish between surface credibility and true reliability
- Understand the limits of the tool
- Spot bias
- Improve prompt craft and task design
- What does it look like in action?
- How do you develop your metacognitive skills?
- Conclusion.
See also, the Jinfo Report "Critical-thinking skills for GenAI" for further analysis of this topic.
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About this report
- Report title: Why is metacognitive reflection so important when using AI?
- Pages: 5
- Link to this page
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