pith:GPB6WFAS
Agentivism: a learning theory for the age of artificial intelligence
Agentivism defines learning in the AI era as durable human capability built through selective delegation, monitoring, internalization, and unsupported transfer.
arxiv:2604.07813 v2 · 2026-04-09 · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPB6WFASPDNQD7XL63IGQNCLCA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
We propose Agentivism, a learning theory for human-AI interaction. Agentivism defines learning as durable growth in human capability through selective delegation to AI, epistemic monitoring and verification of AI contributions, reconstructive internalization of AI-assisted outputs, and transfer under reduced support.
That existing learning theories (Behaviourism, cognitivism, constructivism, and connectivism) remain important but do not directly explain when AI-assisted performance becomes durable human capability.
Agentivism defines learning as durable growth in human capability through selective AI delegation, epistemic monitoring and verification, reconstructive internalization of AI outputs, and transfer under reduced support.
Formal links
Receipt and verification
| First computed | 2026-05-25T02:01:19.259674Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33c3eb141278db01feebf6d068344b103485e15ec3021f5ac1f7f9a39fcbb483
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPB6WFASPDNQD7XL63IGQNCLCA \
| 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: 33c3eb141278db01feebf6d068344b103485e15ec3021f5ac1f7f9a39fcbb483
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3fa4e1abbe567404512ad0a2f8896aad029f710c0544ef640eb15f461bcc4cf",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-04-09T05:09:48Z",
"title_canon_sha256": "c6492198f0bcd26373801a20c13f53a9b02a56c6f76758dde60a93f7f46be9b2"
},
"schema_version": "1.0",
"source": {
"id": "2604.07813",
"kind": "arxiv",
"version": 2
}
}