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pith:5CS2V3YK

pith:2026:5CS2V3YK2ZTDJVDEGIGBEHP7PV
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A Framework for institutional change in the age of AI

David Perl-Nussbaum, Noah D. Finkelstein

Generative AI requires a new framework for institutional change in STEM education because it enters classrooms before evidence can accumulate.

arxiv:2605.12757 v1 · 2026-05-12 · physics.ed-ph · cs.CY

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Collectively, the six dimensions and design implications constitute a new framework for adapting change models to support institutions under conditions of genuine uncertainty.

C2weakest assumption

That the assumptions underlying prior interactive engagement reforms do not hold for generative AI, specifically that it is an arrival technology entering classrooms before a sufficient pedagogical evidence base could form.

C3one line summary

A six-dimension framework is proposed to adapt prior institutional change models in STEM education to the uncertainty and rapid arrival of generative AI.

References

9 extracted · 9 resolved · 0 Pith anchors

[1] Association of American Colleges and Universities. (2014). Achieving systemic change: A sourcebook for advancing and funding undergraduate STEM education. Abdurrahman, F. N., Turpen, C., & Sachmpazidi 2014 · doi:10.18665/sr.322677
[2] G., & Deal, T 2017
[3] Borrego, M., & Henderson, C. (2014). Increasing the use of evidence‐based teaching in STEM higher education: A comparison of eight change strategies. Journal of Engineering Education, 103(2), 220-252. 2014 · doi:10.1787/704e2d12-en
[4] https://www.digitaleducationcouncil.com/post/what-students-want-keyresults-from-dec-global-ai-student-survey- 2024 Engeström, Y. (1999). Activity theory and individual. Perspectives on activity theory 2024
[5] Finkelstein, N. D. (2025). A principled way to think about AI in education: Guidance for action based on goals, models of human learning, and use of technologies. arXiv preprint arXiv:2510.01467. 21 G 2025 · doi:10.1080/0144929x.2024.2394886

Formal links

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Receipt and verification
First computed 2026-05-18T03:09:48.536816Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e8a5aaef0ad66634d464320c121dff7d6be641c04ae02894a44b28a63cceb508

Aliases

arxiv: 2605.12757 · arxiv_version: 2605.12757v1 · doi: 10.48550/arxiv.2605.12757 · pith_short_12: 5CS2V3YK2ZTD · pith_short_16: 5CS2V3YK2ZTDJVDE · pith_short_8: 5CS2V3YK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5CS2V3YK2ZTDJVDEGIGBEHP7PV \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e8a5aaef0ad66634d464320c121dff7d6be641c04ae02894a44b28a63cceb508
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-05-12T21:11:13Z",
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