Infrastructure barriers — limited internet speed, connectivity problems and lack of technical support — hinder effective AI use in nursing education institutions¶

Claim · All claims
Evidence · 1 study · qualitative r3 · 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

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? Participants reported that connectivity problems and insufficient technical support could hinder AI engagement. → Arzu Akbaba 2026

Evidence¶

Arzu Akbaba 2026¶

Arzu Akbaba, Afra Calik Kus. (2026). Nursing students’ and faculty experiences with artificial intelligence in education: a qualitative study using the technology acceptance model. BMC Nursing. https://doi.org/10.1186/s12912-026-04986-1

q2 · i? · qualitative · r3

Interview finding from the concerns subcategory; participants noted that "connectivity problems and a lack of technical support could hinder AI engagement" and emphasised that reliable infrastructure and technical assistance are critical for effective usage.

"Despite AI’s high potential, limited internet speed and persistent connectivity issues in some institutions hinder effective use…"

Discussion¶

Learner Variables¶

Access — predictor: learners who differ on it differ in outcomes

During spring 2020 remote instruction, internet connectivity and hardware/software problems interfered with course participation for large shares of undergraduates — the general claim this finding bears on, with the studies behind it
Nursing students and faculty report concerns that AI use may weaken critical thinking, enable plagiarism and misinformation, and create unequal access — related
Persistent technical limitations constitute an authenticity gap in AI-powered nursing simulations — related
Learners used products outside class despite infrastructure limits: 65% of surveyed students reported doing software work outside class while mobile access was largely unavailable — related
Infrastructure and access constraints were reported in 18 of 54 studies (33%) as the second higher-order technical limitation category — possibly the same claim (merge candidate)
Technical issues (login scanning, internet connectivity, projector setup, and glitches) frustrated students and created a significant barrier to playlist implementation — related
Technical difficulties were the most frequently reported implementation limitation, mentioned in ten of the thirteen studies — related
AI in adult education risks reinforcing existing inequalities via the digital divide, particularly for rural, low-income, and marginalized learners — a broader claim this one bears on

Page metadata

Field	Value
`type`	`claim`
`id`	`infrastructure-barriers-ai-use-nursing-education`
`title`	`Infrastructure barriers — limited internet speed, connectivity problems and lack of technical support — hinder effective AI use in nursing education institutions`
`description`	`Infrastructure barriers — limited internet speed, connectivity problems and lack of technical support — hinder effective AI use in nursing education institutions`
`status`	`review`
`evidence_strength`	`weak`
`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 — `arzu-akbaba-2026`

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