pith:3Y7YN4NM
Predictive Modeling for High Impact Active Learning Classrooms
A specific combination of group worksheets, clicker questions, and student questions produces exceptional learning gains with effect sizes greater than 2.
arxiv:2603.14335 v3 · 2026-03-15 · physics.ed-ph
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\usepackage{pith}
\pithnumber{3Y7YN4NM6VZA6QUYJAQAVTY46J}
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Record completeness
Claims
We identify one type of class that produces exceptional learning gains (effect sizes > 2): 10-20% of time on group worksheets, 20-40% on group clicker questions, and two or more student questions per hour.
That associations observed in the observational dataset of 69 classes reflect causal effects of the specific activity combinations rather than confounding variables such as instructor skill, student preparation, or institutional differences.
A model from 69 classes finds that 10-20% group worksheets, 20-40% group clicker questions, and at least two student questions per hour produce effect sizes over 2 in learning gains, while classes without group worksheets match lecture-only performance.
Formal links
Receipt and verification
| First computed | 2026-05-29T02:05:42.964039Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
de3f86f1acf5720f429848200acf1cf24396b3f43745de82dc5bd8dd91bac3fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3Y7YN4NM6VZA6QUYJAQAVTY46J \
| 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: de3f86f1acf5720f429848200acf1cf24396b3f43745de82dc5bd8dd91bac3fc
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.ed-ph",
"submitted_at": "2026-03-15T11:58:17Z",
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"kind": "arxiv",
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