AI use also carries negative outcomes: technical instability, negative emotional impacts, over-reliance, and contextual contingency¶
Claim · All claims
Evidence · 3 studies · 3 reviewr3·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? Speech recognition errors and connectivity issues disrupt interaction flow (8 studies). → Zhang S 2026
q2 i? Cognitive overload and lack of emotional support may constrain WTC growth (4 studies). → Zhang S 2026 (2)
q2 i? Excessive dependence on AI may reduce learner agency and authentic interaction engagement (3 studies). → Zhang S 2026 (3)
Evidence¶
Zhang S 2026¶
Zhang S, Zou B, Liu Y, Chen Z and Yan R (2026) Impacts of artificial intelligence on willingness to communicate and its key antecedents in EFL contexts: a systematic review (2015–2026). Front. Educ. 11:1927432. https://doi.org/10.3389/feduc.2026.1927432
q2 · i? · review · r3
Thematic synthesis of negative outcomes codes 8 studies to technical instability, reporting that "Speech recognition errors and connectivity issues disrupt interaction flow" (e.g., Wang and Zou, 2025; Zheng et al., 2025).
"Speech recognition errors and connectivity issues disrupt interaction flow"
Zhang S 2026 (2)¶
Zhang S, Zou B, Liu Y, Chen Z and Yan R (2026) Impacts of artificial intelligence on willingness to communicate and its key antecedents in EFL contexts: a systematic review (2015–2026). Front. Educ. 11:1927432. https://doi.org/10.3389/feduc.2026.1927432
q2 · i? · review · r3
Thematic synthesis codes 4 studies to negative emotional impacts, reporting that "Cognitive overload and lack of emotional support may constrain WTC growth" (e.g., Cao and Abdullah, 2025; Xin and Derakhshan, 2025).
"Cognitive overload and lack of emotional support may constrain WTC growth"
Zhang S 2026 (3)¶
Zhang S, Zou B, Liu Y, Chen Z and Yan R (2026) Impacts of artificial intelligence on willingness to communicate and its key antecedents in EFL contexts: a systematic review (2015–2026). Front. Educ. 11:1927432. https://doi.org/10.3389/feduc.2026.1927432
q2 · i? · review · r3
Thematic synthesis codes 3 studies to over-reliance on AI, reporting that "Excessive dependence on AI may reduce learner agency and authentic interaction engagement" (e.g., Ebadi et al., 2025).
"Excessive dependence on AI may reduce learner agency and authentic interaction engagement"
Discussion¶
Learner Variables¶
- Domain Context — moderator: an instructional effect differs with it
Related Claims¶
- Studies directly measuring WTC consistently report positive effects of AI on EFL learners' WTC across tool types, contexts, and age groups — the general claim this finding bears on, with the studies behind it
- Students report negative experiences with ChatGPT including inaccurate outputs, lack of emotional connection, and risk of overreliance, which constrain competence — related
- Unstructured ChatGPT use in programming education is linked to overreliance, reduced persistence, unreliable outputs, and academic integrity risks — related
- AI use in training carries risks of uncritical acceptance and overreliance, including undetected conceptual errors and increased delegation of problem solving — related
- Learner-level challenges of ChatGPT in STEAM IBL include over-reliance, inaccurate or irrelevant feedback, conceptual confusion, and diminished creativity — related
- Effective AI use increases AI over-reliance, which negatively affects sustainable learning performance — related
- Measurable vocal outputs do not by themselves carry fixed pedagogical meaning; their significance depends on interpretation in context — related
- Over-reliance on AI in chemical experimentation carries ethical considerations and pitfalls as AI automates routine tasks and alters how experiments are conceptualized — related
- Persistent challenges include feedback inaccuracy, learner overreliance, and limited transparency — related
- A 2025 systematic review reports that AI tools raising social presence and emotional engagement may improve AI-supported collaborative learning outcomes — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-wtc-negative-outcomes-challenges |
title |
AI use also carries negative outcomes: technical instability, negative emotional impacts, over-reliance, and contextual contingency |
description |
AI use also carries negative outcomes: technical instability, negative emotional impacts, over-reliance, and contextual contingency |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
3 — zhang-s-2026, zhang-s-2026-2, zhang-s-2026-3 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.