Persistent research gaps in AI-integrated business education concern curriculum coherence, educator readiness, and assessment validity¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·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? Persistent gaps emerged concerning curriculum coherence, educator readiness, and assessment validity. → Espino 2026
Evidence¶
Espino 2026¶
Espino, L., & Espino, C. (2026). Mapping the Integration of AI into Business Education: Insights from a Decade of Research. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/5yhdnk13
q2 · i? · quant-synthesis · r2
Gap identification arises from the study's bibliometric mapping of the 213-article corpus. The article reports that "Persistent gaps emerged concerning curriculum coherence, educator readiness, and assessment validity."
"Persistent gaps emerged concerning curriculum coherence, educator readiness, and assessment validity."
Discussion¶
Related Claims¶
- A decade of AI-in-business-education research clusters into four major themes: AI-driven transformation, innovative digital pedagogies, AI-enhanced personalization, and digital-economy alignment — related
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
- 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
- Teachers report concerns about infrastructure, reliability, age appropriateness, teacher competence, and student over-reliance on AI — related
- On a common 0–1 metric, digital-competency adequacy shows the largest readiness gap (42.4%), followed by system readiness (21.3%) — related
- In first-year GenAI adoption in business higher education, curriculum-integrated modules reported enhanced student engagement, performance and employability, while fragmented approaches were more susceptible to ethical concerns, overreliance and inequality — related
- Common risks of AI integration in nursing education include technological inequities, faculty preparedness gaps, and ethical concerns around privacy and bias — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
persistent-gaps-ai-business-education |
title |
Persistent research gaps in AI-integrated business education concern curriculum coherence, educator readiness, and assessment validity |
description |
Persistent research gaps in AI-integrated business education concern curriculum coherence, educator readiness, and assessment validity |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — espino-2026 |
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