pith:XK7YGYG7
Using Large Language Models to Analyze Engagement in Computational Thinking via Computational Physics Essays
Computational Physics Essays elicit high variety of computational thinking practices in engineering students, with strong correlation to overall quality.
arxiv:2605.07036 v2 · 2026-05-07 · physics.ed-ph
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\usepackage{pith}
\pithnumber{XK7YGYG7LNHNIHRP7TREQE5VYL}
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Claims
The project-based constraint successfully elicited a high variety of CT practices. Students demonstrated high proficiency in Modeling and Systems Thinking, with 99% successfully investigating complex systems as a whole. ... the use of CT practices strongly correlated (ρ=0.75) with expert ratings of the overall quality of the CPE.
That the customized 20-item rubric based on Weintrop's taxonomy validly and reliably captures computational thinking practices in this specific engineering context without additional validation or inter-rater reliability checks reported.
Computational Physics Essays as capstone projects elicit high proficiency in computational thinking practices among engineering students, with 99% success in investigating complex systems and a 0.75 correlation to expert-rated quality.
Formal links
Receipt and verification
| First computed | 2026-06-19T16:12:05.996826Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
babf8360df5b4ed41e2ffce24813b5c2ecabd57b9e0fee81e616d743ed6486d4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XK7YGYG7LNHNIHRP7TREQE5VYL \
| 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: babf8360df5b4ed41e2ffce24813b5c2ecabd57b9e0fee81e616d743ed6486d4
Canonical record JSON
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