pith:EO55UQAS
An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
A closed-loop multimodal ITS using traceable BARS feedback produces measurable gains in presentation skills for 204 adult learners.
arxiv:2605.17468 v1 · 2026-05-17 · cs.HC · cs.AI
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Claims
In a pre-post validation study with 204 adult learners over a 30-day practice window, participants demonstrated significant improvements across all seven BARS dimensions (Cohen's d = 0.39-0.90), with practice frequency showing a strong positive association with posttest performance after controlling for baseline scores and demographics.
The pre-post gains are caused by the ITS feedback rather than by repeated practice alone or by self-selection of motivated participants; the abstract does not describe a control group or randomization that would isolate the system's contribution.
An XGBoost-based ITS with a three-layer interpretable feedback architecture uses multimodal features from 10,360 MOOC video segments to score seven BARS dimensions and produces measurable skill gains in a 204-learner 30-day study.
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Receipt and verification
| First computed | 2026-05-20T00:04:40.491757Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23bbda40120815e10f858f9a7b58216126f3b3bbf26d4b23387e74c0b456f0a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EO55UQASBAK6CD4FR6NHWWBBME \
| 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: 23bbda40120815e10f858f9a7b58216126f3b3bbf26d4b23387e74c0b456f0a3
Canonical record JSON
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