Using AIED poses technical, ethical and trust challenges for teachers¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q2
Currency · newest study 2023 · 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.
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q2 i? Teachers face technical difficulties, ethical concerns, and unreliable AI recommendations when using AIED technologies, including black-box systems and surveillance-like features. → Davy Tsz Kit Ng 2023
Evidence¶
Davy Tsz Kit Ng 2023¶
Davy Tsz Kit Ng, Jac Ka Lok Leung, Jiahong Su, Ross Chi Wui Ng, Samuel Kai Wah Chu. (2023). Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world. Education Tech Research Dev. https://doi.org/10.1007/s11423-023-10203-6
q2 · i? · theoretical · r2
The article's challenges section synthesizes reported risks of AIED: technical difficulties reducing quality of delivery, black-box workings, privacy concerns, and student discomfort with features such as eye tracking that feel like surveillance. Attributed to cited studies.
"Seo et al. (2021) warned that AI could give unreliable recommendations which may negatively impact students' performance, especially when teachers solely rely on AI-driven technologies to predict and assess students' learning outcomes"
Discussion¶
Related Claims¶
- Algorithmic bias and data privacy are central ethical risks of AI in adult education — related
- The most frequent limitation of AI in instructional design is content reliability and transparency (16 of 28 studies, 57.14%) — a narrower finding that bears on this claim
- Reported benefits of AI integration were efficiency, personalization, and engagement, while challenges were equity, ethics, and academic integrity — related
- AIED technologies span school administration to personalised learning, with ethical risks including surveillance, privacy loss, and dehumanising prescriptive teaching — 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%) — a narrower finding that bears on this claim
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
aied-challenges-technical-ethical |
title |
Using AIED poses technical, ethical and trust challenges for teachers |
description |
Using AIED poses technical, ethical and trust challenges for teachers |
status |
review |
evidence_strength |
weak |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-29 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — davy-tsz-kit-ng-2023 |
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