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pith:2026:CDO7YYVMU5VR5VDYDDUYEPBIRA
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Faculty Orientations Shape Adoption of AI in Research and Teaching

Christina L. Vizcarra, Ian Descamps, Jay J. Foley IV, Max Webel, Ning Sui, Timothy J. Atherton, Tova R. Holmes

Faculty orientations toward AI's role in disciplinary thinking strongly predict their adoption of AI tools in research and teaching.

arxiv:2605.18140 v1 · 2026-05-18 · physics.ed-ph · cs.CY

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Exploratory factor analysis identified a coherent construct, AI pedagogical orientation, that strongly predicted self-reported AI use across research, teaching, and other professional activities.

C2weakest assumption

The factor structure derived from this sample of 90 faculty in one professional community reflects a stable, generalizable orientation rather than sample-specific response patterns or self-report bias.

C3one line summary

Survey of 90 STEM faculty finds AI pedagogical orientation strongly predicts AI adoption across research and teaching, beyond general attitudes or institutional factors.

References

60 extracted · 0 resolved · 0 Pith anchors

[1] The survey was designed by a core team of five STEM faculty from the CottreLLM collaboration based on a sequence of structured discussions about generative AI usage and adoption in research and teachi
[2] S. Küchemann and J. Kuhn, Phys. Rev. Phys. Educ. Res. 22, 010001 (2026) 2026
[3] E. Yuriev, D. J. Wink, and T. A. Holme, J. Chem. Educ.101, 2957 (2024), https://doi.org/10.1021/acs.jchemed.4c00836 2024 · doi:10.1021/acs.jchemed.4c00836
[4] P. Wattanakasiwich, K. Kaewkhong, and D. Katwibun, Phys. Rev. Phys. Educ. Res.21, 010155 (2025) 2025
[5] V. Skogvoll and T. Odden, European Journal of Physics 10.1088/1361-6404/ae55e0 (2026) 2026 · doi:10.1088/1361-6404/ae55e0
Receipt and verification
First computed 2026-05-20T00:05:18.384573Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

10ddfc62aca76b1ed47818e9823c28880f2517d30dad9eba097da9c595a93df2

Aliases

arxiv: 2605.18140 · arxiv_version: 2605.18140v1 · doi: 10.48550/arxiv.2605.18140 · pith_short_12: CDO7YYVMU5VR · pith_short_16: CDO7YYVMU5VR5VDY · pith_short_8: CDO7YYVM
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CDO7YYVMU5VR5VDYDDUYEPBIRA \
  | 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: 10ddfc62aca76b1ed47818e9823c28880f2517d30dad9eba097da9c595a93df2
Canonical record JSON
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    "primary_cat": "physics.ed-ph",
    "submitted_at": "2026-05-18T09:47:35Z",
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