Work

Structure of the Elementary Subtraction Skill within 20, Verified via Conversational AI Models (Data Array of a Pedagogical Experiment in 4th Grades, 1993–1995)

Year: 2026

Type: article

Abstract: The publication describes the structure of the elementary subtraction skill within 20, verified using large conversational models (LLMs). The presented dataset reflects the state of fourth-graders' skills during the experiment period (1993–1995); however, the author's long-term observations indicate a fairly stable preservation of its structure under modern conditions. The work demonstrates the applied potential of neural network technologies in pedagogical measurements and statistical data processing.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23771888

Author: Guskov, Victor Arkadyevich

Language: English

Topic: Cognitive and developmental aspects of mathematical skills

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7224236467

FWCI:

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Related to: 10