Design learning-oriented LLM prompts around guided questions, step-by-step support, reflection, and a thinking partner rather than direct answers¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

Drawing on the discourse of the learning- and skill-oriented creator groups, the article's Figure 1 synthesis recommends that effective learning prompts combine G1 and G2 practices: guided questions, step-by-step support, reflection, and using ChatGPT as a thinking partner, while avoiding prompts that request direct answers. G1 creators modeled this orientation, e.g., "Your goal is to use AI as a wise tutor who guides you with questions, not as a vending machine that just spits out the answer." The strategy treats prompting as a learnable practice that keeps the learner cognitively engaged.

Design Implications¶

Context¶

Requirements¶

• Learners must monitor and evaluate their own thinking and verify outputs rather than outsourcing cognitive effort

Constraints¶

• The article did not measure learning outcomes directly, so the strategy's effectiveness for actual learning is inferred from discourse framing, not tested

Target Learners¶

• self-directed learners using ChatGPT for study

Target Learning Goals¶

• conceptual understanding
• retrieval practice and skill-building
• metacognitive reflection

Affordances¶

• Chatgpt Epistemic Orientation Framework

Claims¶

• Viewers of learning-oriented content describe ChatGPT as a tutor or thinking partner, while viewers of output-oriented content raise over-reliance and cognitive-offloading concerns [+W]

Related Strategies¶

• Questioning Techniques to Address Errors
• Emphasis on Reasoning over Answers

Examples¶

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Key Sources¶

• Lb0