Claims

The most effective forms of learning support differed by user expertise: beginners preferred at-a-glance visual cues while advanced users preferred the analysis console.

Claim · All claims
Evidence · 1 study · design r2 · q1
Currency · newest study 2026 · not yet checked against its sources · 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.

q1 i? Beginner-level participants relied on immediate visual cues such as color encodings, whereas advanced participants gravitated toward the Analysis Console and direct data engagement. → Yanjia Li 2026

Evidence

Yanjia Li 2026

Yanjia Li, Kelcy Kexin Han, Tianrui Hu, Yi-Fan Cao, Huamin Qu, Sicheng Song. (2026). SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation. https://arxiv.org/abs/2606.24694 doi:10.48550/arxiv.2606.24694

q1 · i? · design · r2

Case study of user-study participants' behavioral patterns. Beginners (P4, P8-10, P14) preferred visual encodings and the Timeline Tree Map; advanced participants (P3, P12) preferred the Analysis Console. Qualitative findings; no effect sizes.

"While participants universally valued the learning support inte- grated within the system, our study revealed that the most effec- tive forms of support differed significantly based on the user’s level of expertise."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id learning-support-preferences-differ-by-expertise
title The most effective forms of learning support differed by user expertise: beginners preferred at-a-glance visual cues while advanced users preferred the analysis console.
description The most effective forms of learning support differed by user expertise: beginners preferred at-a-glance visual cues while advanced users preferred the analysis console.
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — yanjia-li-2026

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