METHODOLOGY OF FORMING STUDENTS' COMPETENCE IN CREATING CUSTOM MODULES USING PYTHON

This article discusses the pedagogical and methodological framework for developing student's competencies in designing and implementing reusable custom modules using the Python programming language. In modern software development, code reusability and modular architecture are critical skills for efficient programming. However, students often face challenges when structuring code outside of standard libraries. The proposed methodology integrates project-based learning and practical module development tasks to enhance students' coding standards, maintainability, and problem-solving skills in Python.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22876250
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
article

METHODOLOGY OF FORMING STUDENTS' COMPETENCE IN CREATING CUSTOM MODULES USING PYTHON

Shoira Khudoyberdieva
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

METHODOLOGY OF FORMING STUDENTS' COMPETENCE IN CREATING CUSTOM MODULES USING PYTHON

Shoira Khudoyberdieva
article en

Abstract

This article discusses the pedagogical and methodological framework for developing student's competencies in designing and implementing reusable custom modules using the Python programming language. In modern software development, code reusability and modular architecture are critical skills for efficient programming. However, students often face challenges when structuring code outside of standard libraries. The proposed methodology integrates project-based learning and practical module development tasks to enhance students' coding standards, maintainability, and problem-solving skills in Python.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 4%
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.

METHODOLOGY OF FORMING STUDENTS' COMPETENCE IN CREATING CUSTOM MODULES USING PYTHON — Shoira Khudoyberdieva · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS