Reasoning-capable model variants and chain-of-thought prompting yield no measurable improvement in either alignment axis for classroom evaluation¶

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Comparing paired models sharing the same base, additional test-time reasoning produced no measurable improvement on expert-rating or learning-gain alignment, and chain-of-thought prompting findings were similar. → Michael Hardy 2026

Evidence¶

Michael Hardy 2026¶

Michael Hardy, Yunsung Kim. (2026). Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact. arXiv. https://arxiv.org/abs/2603.00883 doi:10.48550/arxiv.2603.00883

q2 · i? · causal · r1

Paired comparisons in Sec. 5.2 of reasoning variants against their base models (e.g., DeepSeek-R1 vs DeepSeek-V3.1) on both Kendall's tau alignment axes. The article concludes additional reasoning context alone does not repair the core mismatch.

"we findno measurable improvementon either axis of alignment in Figure 4. Findings comparing the chain-of-thought prompt were similar"

Discussion¶

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