METHODOLOGY FOR DEVELOPING DIGITAL COMPETENCE

This article explores the methodology for developing digital competence in the context of modern education. It examines key pedagogical approaches such as project-based learning, blended learning, and the flipped classroom model. The paper also discusses strategies for implementation, including teacher training, curriculum integration, and infrastructure support. Special attention is given to the assessment of digital competence through e-portfolios, self-assessment tools, and performance-based methods. Additionally, the study incorporates perspectives from Russian and Uzbek educational systems to provide a broader understanding of local practices. The article concludes with recommendations for overcoming challenges such as digital inequality and insufficient teacher readiness.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-05
DOI
https://doi.org/10.5281/zenodo.15600452
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

METHODOLOGY FOR DEVELOPING DIGITAL COMPETENCE

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

METHODOLOGY FOR DEVELOPING DIGITAL COMPETENCE

article en

Abstract

This article explores the methodology for developing digital competence in the context of modern education. It examines key pedagogical approaches such as project-based learning, blended learning, and the flipped classroom model. The paper also discusses strategies for implementation, including teacher training, curriculum integration, and infrastructure support. Special attention is given to the assessment of digital competence through e-portfolios, self-assessment tools, and performance-based methods. Additionally, the study incorporates perspectives from Russian and Uzbek educational systems to provide a broader understanding of local practices. The article concludes with recommendations for overcoming challenges such as digital inequality and insufficient teacher readiness.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
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.