DEVELOPING MATHEMATICAL COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

This article analyses the application of artificial intelligence technologies in developing the mathematical competence of higher education students. The didactic affordances of adaptive learning platforms, intelligent tutoring systems and generative artificial intelligence tools are examined, and their effectiveness is substantiated through statistical methods on the basis of the results of a pedagogical experiment.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-10
DOI
https://doi.org/10.5281/zenodo.20110564
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DEVELOPING MATHEMATICAL COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Muhammad Maxsudovich Matyoqubov
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

DEVELOPING MATHEMATICAL COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Muhammad Maxsudovich Matyoqubov
article en

Abstract

This article analyses the application of artificial intelligence technologies in developing the mathematical competence of higher education students. The didactic affordances of adaptive learning platforms, intelligent tutoring systems and generative artificial intelligence tools are examined, and their effectiveness is substantiated through statistical methods on the basis of the results of a pedagogical experiment.

Zenodo (CERN European Organization for Nuclear Research)
International Technological University (US)
Quality Education
Openalex Percentile: Top 2%
Artificial Intelligence in 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.

DEVELOPING MATHEMATICAL COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES — Muhammad Maxsudovich Matyoqubov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS