Claims

Most unrestricted-mode interactions were direct answer retrieval: 52.9% of exercise interactions were copy-paste of the question, and participant answers were linguistically near-identical to chatbot text in 25.3% of cases

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · 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? 52.9% of Mode 1 exercise interactions were classified as copy-paste question, versus 21.8% in the Socratic mode. → Alexandre Clin Deffarges 2026 q2 i? Mean linguistic similarity between participant answers and chatbot messages was 0.374 in Mode 1 versus 0.044 in Mode 2 (p < 10^-18), with 25.3% of Mode-1 final answers nearly identical to chatbot text versus 0% in Mode 2. → Alexandre Clin Deffarges 2026 (2)

Evidence

Alexandre Clin Deffarges 2026

Alexandre Clin Deffarges, Nataliya Kosmyna, and Pattie Maes. (2026). Socrates went Nuclear: Comparing Interaction Strategies for AI systems in a Learning Context using Brain Sensing. arXiv preprint arXiv:2609.00584. https://arxiv.org/abs/2609.00584 doi:10.48550/arxiv.2609.00584

q2 · i? · causal · r2

Rule-based classification of each discussion into eight behavioral clusters, applied to the 170 exercise attempts in each conversational mode. Copy-paste dominated Mode 1 (52.9%) while Mode 2 spread across ask for definition (28.8%), copy-paste (21.8%), and no discussion (22.4%).

"52.9% of all exercise interactions in Mode 1 were classified ascopy-paste question, and the remaining interactions were mostly ask for definition(22.4%)."

Alexandre Clin Deffarges 2026 (2)

Alexandre Clin Deffarges, Nataliya Kosmyna, and Pattie Maes. (2026). Socrates went Nuclear: Comparing Interaction Strategies for AI systems in a Learning Context using Brain Sensing. arXiv preprint arXiv:2609.00584. https://arxiv.org/abs/2609.00584

q2 · i? · causal · r2

Linguistic similarity analysis comparing each final training answer with the chatbot messages of the corresponding exercise. The authors state this confirms Mode 1 answers were heavily derived from the chatbot while Mode 2 answers were formulated by participants themselves.

"Mean similarity between participant answers and chatbot messages was 0.374 in Mode 1 versus 0.044 in Mode 2 (𝑝< 10−18), and 25.3% of Mode-1 final training answers were nearly identical to the chatbot text, against 0% in Mode 2."

Discussion

Page metadata
Field Value
type claim
id unrestricted-mode-answer-retrieval-copy-paste
title Most unrestricted-mode interactions were direct answer retrieval: 52.9% of exercise interactions were copy-paste of the question, and participant answers were linguistically near-identical to chatbot text in 25.3% of cases
description Most unrestricted-mode interactions were direct answer retrieval: 52.9% of exercise interactions were copy-paste of the question, and participant answers were linguistically near-identical to chatbot text in 25.3% of...
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 2 — alexandre-clin-deffarges-2026, alexandre-clin-deffarges-2026-2

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