English-delivered AI explanations impose a double cognitive burden: foreign-language content significantly reduced learning outcomes versus native-language instruction in controlled higher-education studies¶
Claim · All claims
Evidence · 1 study (2 entries) · reviewr2·q3
Currency · newest study 2026 · checked against its sources 2026-10-18 (automated, 2 of 2 entries) · 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.
q3 i? Exposure to academic content in a foreign language without explicit language support significantly reduced both content and language learning outcomes compared to native-language instruction (Roussel et al., 294 students). → Avijit Roy 2026
q2 i? Bilingual (English and Tamil) instruction outperformed English-only instruction for non-English-dominant students on linked-list concept learning in programming education. → Avijit Roy 2026 (2)
Evidence¶
Avijit Roy 2026¶
Avijit Roy, Proma Roy. (2026). Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages — A Case Study in Bengali, the Digital Divide, and the Hidden Cost of English-Centric Design. arXiv preprint. https://arxiv.org/abs/2608.12278 doi:10.48550/arxiv.2608.12278
q3 · i? · theoretical · r2
This article reports, citing Roussel et al. (2017), a controlled experiment with 294 higher education students in which foreign-language presentation significantly lowered content and language learning outcomes; no effect size is printed here.
"Roussel et al. (2017) demonstrated this experimentally with 294 higher education students, showing that content presented in a foreign language produced significantly lower outcomes across both content and language learning compared to native-language presentation, under conditions where all other instructional variables were held constant."
Avijit Roy 2026 (2)¶
Avijit Roy, Proma Roy. (2026). Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages — A Case Study in Bengali, the Digital Divide, and the Hidden Cost of English-Centric Design. arXiv preprint. https://arxiv.org/abs/2608.12278
q3 · i? · review · r2
This article reports, citing Soosai Raj et al. (2018), that bilingual English–Tamil instruction outperformed English-only instruction for non-English-dominant students; no effect size is printed here.
"Soosai Raj et al. (2018) found analogous patterns in programming education, with bilingual instruction (English and Tamil) outperforming English-only instruction for non-English-dominant students on linked-list concept learning."
Discussion¶
Related Claims¶
- In one participatory budgeting case, Latino immigrant participation lapsed under outreach with interpretation and was sustained only after the activity structure was redesigned — related
- English learners lag behind their peers in achievement and attainment; limited exposure to academic content is offered as a partial explanation, not tested — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
double-burden-language-of-ai-instruction |
title |
English-delivered AI explanations impose a double cognitive burden: foreign-language content significantly reduced learning outcomes versus native-language instruction in controlled higher-education studies |
description |
English-delivered AI explanations impose a double cognitive burden: foreign-language content significantly reduced learning outcomes versus native-language instruction in controlled higher-education studies |
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 |
2 — avijit-roy-2026, avijit-roy-2026-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.