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• Providing explicit CPT-oriented scaffolding during the planning and translation stages of reflective writing significantly increases reflection depth during tool use.result 90%
• The improvement in reflection depth and structure gained from CPT-oriented support during tool use does not fully transfer to a delayed post-test without support.result 85%
• CPT-oriented support, whether AI-based or static, leads to deeper metacognitive content in reflections during tool use.result 90%
• Students largely interacted with the conversational agent (CA) in a way similar to a static worksheet, with minimal follow-up questions.result 85%
• The observed benefits in reflection quality are primarily due to the CPT support structure itself, rather than the AI adaptivity or conversational interaction of the LLM.result 80%
• Pensée is the first application of Large Language Models (LLMs) to explicitly support the planning and translation stages of reflective writing.method 95%
• Future work on LLM-based learning tools should adopt delayed post-tests as standard practice to better distinguish between performance and long-term learning.limitation 85%
• Response length to the conversational agent declined sharply over the course of the interaction for both treatment and control groups.result 90%

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