Method Definition v1.0

Method Definition v1.0 formalizes a method for structuring practical AI instruction in which a general-purpose conversational LLM serves as the primary learning environment. The method combines six mandatory functions: an author-governed instructional specification; an instruction-programmed AI teacher; runtime micro-adaptation; learner steering; evidence-based checking and remediation; and transfer to the learner's own real tasks. The document also defines two assembly principles — Balancing and Layered Failure-Mode Coverage — as well as the method's Minimal Profile, the boundary between the method and its implementation or content, and the claims that are explicitly not made. This record contains the canonical English version and an authorized Russian translation in PDF and Markdown formats. It also includes SHA256SUMS.txt containing SHA-256 hashes of the four content files. Version 1.0 was finalized and first published on 14 August 2026. Supporting evidence, development chronology, prior-art evaluation, pilot results, external research, and review records are maintained separately and are not reproduced in this deposit.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-14
DOI
https://doi.org/10.5281/zenodo.21931564
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method Definition v1.0

VLADIMIR KOSTROV
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Method Definition v1.0

VLADIMIR KOSTROV
article en

Abstract

Method Definition v1.0 formalizes a method for structuring practical AI instruction in which a general-purpose conversational LLM serves as the primary learning environment. The method combines six mandatory functions: an author-governed instructional specification; an instruction-programmed AI teacher; runtime micro-adaptation; learner steering; evidence-based checking and remediation; and transfer to the learner's own real tasks. The document also defines two assembly principles — Balancing and Layered Failure-Mode Coverage — as well as the method's Minimal Profile, the boundary between the method and its implementation or content, and the claims that are explicitly not made. This record contains the canonical English version and an authorized Russian translation in PDF and Markdown formats. It also includes SHA256SUMS.txt containing SHA-256 hashes of the four content files. Version 1.0 was finalized and first published on 14 August 2026. Supporting evidence, development chronology, prior-art evaluation, pilot results, external research, and review records are maintained separately and are not reproduced in this deposit.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Method Definition v1.0 — VLADIMIR KOSTROV · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS