When outcomes change over time
Educators often evaluate AI use based on their first experience. If it saved time or produced a strong draft, it can feel like a success. If it produced an error, it can feel like a failure. Reflection helps you avoid both extremes by looking for patterns across time and adjusting in small, responsible ways.
Reflection
- Think of a tool or routine you used that seemed successful at first and then became less effective. What changed over time?
- What is one AI-supported task you tried or are considering?
- What would you consider over time to decide whether it's helping learning or speeding up workflow?
Why this matters: Reflection helps educators avoid one-time judgments based on a single success or error. Over time, reflection supports better safeguards and clearer learning routines because educators adjust based on outcomes rather than assumptions.