Academic integrity concerns were the third most prevalent pedagogical limitation, reported in 20 of 54 studies (37%)¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
Subclaims¶
Reading the evidence codes
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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? Academic integrity concerns, including plagiarism, cheating, ghostwriting, and unclear authorship, were reported in 20 studies (37%). → Espinoza-Celi V and Vargas-Saritama A 2026
Evidence¶
Espinoza-Celi V and Vargas-Saritama A 2026¶
Espinoza-Celi V and Vargas-Saritama A (2026) Technical and pedagogical limitations of artificial intelligence in undergraduate EFL higher education: a systematic review. Front. Educ. 11:1948091. https://doi.org/10.3389/feduc.2026.1948091
q2 · i? · review · r2
Cross-study frequency analysis of the 54 included empirical studies; the review reports "Academic integrity concerns (P3) were reported in 20 studies (37%)" as the third most prevalent pedagogical limitation. Descriptive prevalence only; no effect size printed.
"Academic integrity concerns (P3) were reported in 20 studies (37%), making this the third most prevalent pedagogical limitation overall. The reviewed studies highlighted concerns related to plagiarism, cheating, ghostwriting, unclear authorship, and the inappropriate use of AI-generated content in coursework and assessment activities."
Discussion¶
Related Claims¶
- Overreliance on AI is the most prevalent pedagogical limitation (27 studies, 50%), followed by reduced critical thinking (25 studies, 46%) — related
- Substantial proportions of students self-report cheating and misconduct during exams, with higher rates in high schools than colleges — related
- Teachers raise big-picture concerns about GenAI including surveillance, over-reliance, reduced teacher collaboration, job replacement, and training needs — related
- Some AI classroom systems can be cheated by students, such as simplistic Autograder models using keyword searches — related
- Unreliable AI-generated output is the most frequently reported technical limitation of AI-supported undergraduate EFL instruction, appearing in 22 of 54 studies (41%) — related
- Nursing students and faculty report concerns that AI use may weaken critical thinking, enable plagiarism and misinformation, and create unequal access — a broader claim this one bears on
- Reviewed studies consistently raise concerns about AI accuracy, overreliance, academic integrity, and reduced critical engagement in Arab EL2 contexts — a broader claim this one bears on
- Faculty concerns centered on academic integrity (80%) and student over-reliance on AI (70%), and their most requested development topic was AI ethics and academic integrity (70%) — related
- Unstructured ChatGPT use in programming education is linked to overreliance, reduced persistence, unreliable outputs, and academic integrity risks — related
- The most reported risks of AI tools in science and chemistry education are ethical issues, including gender and racial bias, hallucinations, copyright infringement, and plagiarism — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
academic-integrity-concerns-ai-efl-prevalence |
title |
Academic integrity concerns were the third most prevalent pedagogical limitation, reported in 20 of 54 studies (37%) |
description |
Academic integrity concerns were the third most prevalent pedagogical limitation, reported in 20 of 54 studies (37%) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — espinoza-celi-v-and-vargas-saritama-a-2026 |
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