The article argues that widespread adoption of generative AI creates a viable means of addressing management education's memorization-centered challenges¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
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.
q1 i? The widespread adoption of generative AI creates a viable means of addressing the three challenges of traditional management education. → Shi 2026
Evidence¶
Shi 2026¶
Shi, X., Dai, T., & Zhang, G. (2026). From Memorization to Experiential Learning: Reconfiguring Classroom Pedagogy in Management Education through Generative AI. Journal of Teaching Innovation and Practice, 2(1), 23–32. https://doi.org/10.65170/jtip.v2i1.53
q1 · i? · theoretical · r2
This is the article's central thesis, stated as an argument in the abstract. The article presents no empirical test of viability; it supports the thesis by proposing three reconfiguration mechanisms illustrated with a strategic management course.
"We argue that the widespread adoption of generative artificial intelligence (AI) creates a viable means of addressing these challenges."
Discussion¶
Related Claims¶
- The article argues that memorization-centered management education faces three specific challenges: theory-practice disconnection, textbook lag, and simulation-reality divide — related
- LLMs help bridge the gap between theoretical curricula and real-world skills by creating simulated scenarios, cases and problem contexts that are hard to reproduce in traditional classrooms — a narrower finding that bears on this claim
- Universities remaining at early AI-adoption stages risk reactive policies, fragmented practice, and misalignment between assessment and real-world practice — related
- Students report gaps in AI training and awareness of institutional AI policies despite widespread adoption — related
- Students at the same university interpreted and responded to GenAI policy in markedly different ways, from embracing adoption to principled resistance — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-viable-means-management-education-reform |
title |
The article argues that widespread adoption of generative AI creates a viable means of addressing management education's memorization-centered challenges |
description |
The article argues that widespread adoption of generative AI creates a viable means of addressing management education's memorization-centered challenges |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — shi-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.