AnimaLab: A Gate-Validated Inductive Learning Framework for Systems Programming Education

AnimaLab is a gate-validated inductive learning framework for systems programming education. This paper presents the protocol architecture, validation methodology, and empirical observations on structural limitations of LLMs as autonomous tutors. Developed as part of the AnimaCore ecosystem.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-02
DOI
https://doi.org/10.5281/zenodo.19389144
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

AnimaLab: A Gate-Validated Inductive Learning Framework for Systems Programming Education

Hendrik Ordoñez Bullon
Zenodo (CERN European Organization for Nuclear Research)
Teaching and Learning Programming
article

AnimaLab: A Gate-Validated Inductive Learning Framework for Systems Programming Education

Hendrik Ordoñez Bullon
article en

Abstract

AnimaLab is a gate-validated inductive learning framework for systems programming education. This paper presents the protocol architecture, validation methodology, and empirical observations on structural limitations of LLMs as autonomous tutors. Developed as part of the AnimaCore ecosystem.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 21%
Teaching and Learning Programming
DOIOpen Access PDFOpenAlex
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AnimaLab: A Gate-Validated Inductive Learning Framework for Systems Programming Education — Hendrik Ordoñez Bullon · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS