
Source
Psychology Today
Summary
The article argues that the way educators frame and structure tasks determines whether AI becomes a thinking crutch or a scaffold for deeper learning. A classroom debate scenario showed how teams assigned different roles—AI user, content evaluator, information gatherer—could distribute cognitive load and enhance engagement. Prompts that ask the AI to “explain your reasoning” nudged students to interrogate output. But without scaffolding, some teams admitted to overreliance and skipping higher-order thinking. Well-designed tasks promoting interaction, reflection, and collaborative interpretation help AI remain a support, not a substitute.
Key Points
- Role assignment (AI user, evaluator, gatherer) helps distribute cognitive responsibility.
- Prompt framing (e.g. “explain your reasoning”) can push AI away from surface responses.
- Debate structure (real-time questioning) adds social accountability and forces adaptation.
- Without support, some students fall into dependency, skipping critical thought.
- The design of tasks—interaction, reflection, scaffolding—is central to ensuring AI enhances rather than replaces human thinking.
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