Claims

One-shot path generation raises Validity but lowers Adaptivity and Efficiency relative to step-by-step interaction

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · checked against its sources 2026-10-18 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Static generation increases Validity by 30.8 points for Qwen3-4B-2507 (CoT) but decreases Adaptivity by 28.8 points for Qwen3-30B-A3B (CoT) and Efficiency by 33.8 points for DeepSeek-R1-Distill-14B. → Yu Liu 2026

Evidence

Yu Liu 2026

Yu Liu, Zeming Liu, Tianle Zhang, Zihao Cheng, Yuhang Guo, Kehai Chen, Min Zhang, Yunhong Wang, Haifeng Wang. (2026). PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning. arXiv. https://arxiv.org/abs/2609.18861 doi:10.48550/arxiv.2609.18861

q2 · i? · causal · r2

Comparison of step-by-step interactive planning with one-shot generation of the entire curriculum in a single turn, on Basic Education personas (Table 8). The article reports the printed percentage-point changes; no effect size is printed.

"Static generation increases Validity by 30.8 percentage points for Qwen3-4B-2507 (CoT), while Adaptivity decreases by 28.8 points for Qwen3-30B-A3B (CoT) and Efficiency by 33.8 points for DeepSeek-R1-Distill-14B."

Discussion

Page metadata
Field Value
type claim
id one-shot-generation-lowers-adaptivity
title One-shot path generation raises Validity but lowers Adaptivity and Efficiency relative to step-by-step interaction
description One-shot path generation raises Validity but lowers Adaptivity and Efficiency relative to step-by-step interaction
status review
evidence_strength moderate
newest_evidence 2026
source_checked 2026-10-18
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — yu-liu-2026

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