Claims

Effortful, fluent-feeling experiences can create an illusion of learning: felt sense of learning is a poor gauge of actual learning

Claim · All claims
Evidence · 1 study (2 entries) · causal r? · q2
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.

q2 i? Students in effortful active classes judged they were learning less even as they objectively learned more (Deslauriers et al., 2019, as reported). → Mario Brcic 2026 q2 i? Software engineers given an AI assistant on a coding task performed the task well but learned markedly less, scoring far lower afterward on the concepts behind the code (Shen and Tamkin, 2026, as reported). → Mario Brcic 2026 (2)

Evidence

Mario Brcic 2026

Mario Brcic, Stjepan Frljic. (2026). The Effortless Trap: Productive Struggle, AI, and the Illusion of Learning. Preprint. https://arxiv.org/abs/2606.26181 doi:10.48550/arxiv.2606.26181

q2 · i? · causal · r?

The article reports, citing Deslauriers et al. (2019), a controlled study in which students in effortful active classes felt they learned less while objectively learning more, grounding the effortless trap. No effect size is printed in the article.

"Students in effortful active classes judged that they were learning less even as they objectively learned more (Deslauriers et al., 2019), so fluent, AI-smoothed practice can feel most productive exactly when it teaches least."

Mario Brcic 2026 (2)

Mario Brcic, Stjepan Frljic. (2026). The Effortless Trap: Productive Struggle, AI, and the Illusion of Learning. Preprint. https://arxiv.org/abs/2606.26181

q2 · i? · theoretical · r2

The article reports, citing the Shen and Tamkin (2026) preprint (a randomized coding task, N=52 per its reference list), that engineers with an AI assistant performed the task well but learned markedly less afterward. No effect size is printed in the article.

"software engineers given an AI assistant on a coding task performed it well but learned markedly less, scoring far lower afterward on the concepts behind the code they had just produced (Shen and Tamkin, 2026)"

Discussion

Page metadata
Field Value
type claim
id effortless-ai-use-creates-illusion-of-learning
title Effortful, fluent-feeling experiences can create an illusion of learning: felt sense of learning is a poor gauge of actual learning
description Effortful, fluent-feeling experiences can create an illusion of learning: felt sense of learning is a poor gauge of actual learning
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 2 — mario-brcic-2026, mario-brcic-2026-2

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